Pub Date : 2024-07-26DOI: 10.1177/10775463241265991
Debashis Singha, Senthil Murugan
Morphing structures are re-configurable structures that can change its geometry to perform multiple functions in multiple operating conditions. Morphing beam structures have considerable applications in industrial robots, morphing aircraft, deployable space structures, etc. In this study, dynamic modelling and analysis of a telescopic type morphing beam, modelled as moving load problem with inertia effects, is performed. The moving loads are assumed to travel along the length of the beam, from fixed to free end and free to fixed end. The material and geometric parameters of the beam are assumed to be constant. The Rayleigh beam theory is used to model the beam, taking into account the rotating inertia effects. Dirac Delta function is used to model the moving loads in the governing equation. A hybrid analytical and numerical approach that couples eigenfunction expansions and Laplace transformation, along with the Crank–Nicholson numerical scheme, is developed to solve the coupled differential equations. The number of oscillations per unit travel time of the moving load and the Dynamic Amplification Factor (DAF) of the beam’s tip response are used to quantify the dynamic effects. Numerical results are investigated for the various non-dimensionalized speeds defined in terms of the moving loads’ critical speed. Numerical result shows that loads moving at low speeds have a more pronounced impact on the dynamic response compared to high speeds. Moving moment induces significant oscillatory behaviour for both (Fixed-free and Free-fixed) boundary conditions. In contrast, the moving mass induces oscillation only when it travels from free-end to fixed-end.
{"title":"Morphing beam dynamics under moving force and moving moment with inertia effects","authors":"Debashis Singha, Senthil Murugan","doi":"10.1177/10775463241265991","DOIUrl":"https://doi.org/10.1177/10775463241265991","url":null,"abstract":"Morphing structures are re-configurable structures that can change its geometry to perform multiple functions in multiple operating conditions. Morphing beam structures have considerable applications in industrial robots, morphing aircraft, deployable space structures, etc. In this study, dynamic modelling and analysis of a telescopic type morphing beam, modelled as moving load problem with inertia effects, is performed. The moving loads are assumed to travel along the length of the beam, from fixed to free end and free to fixed end. The material and geometric parameters of the beam are assumed to be constant. The Rayleigh beam theory is used to model the beam, taking into account the rotating inertia effects. Dirac Delta function is used to model the moving loads in the governing equation. A hybrid analytical and numerical approach that couples eigenfunction expansions and Laplace transformation, along with the Crank–Nicholson numerical scheme, is developed to solve the coupled differential equations. The number of oscillations per unit travel time of the moving load and the Dynamic Amplification Factor (DAF) of the beam’s tip response are used to quantify the dynamic effects. Numerical results are investigated for the various non-dimensionalized speeds defined in terms of the moving loads’ critical speed. Numerical result shows that loads moving at low speeds have a more pronounced impact on the dynamic response compared to high speeds. Moving moment induces significant oscillatory behaviour for both (Fixed-free and Free-fixed) boundary conditions. In contrast, the moving mass induces oscillation only when it travels from free-end to fixed-end.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"41 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-26DOI: 10.1177/10775463241258801
Jennifer Dietrich, Ghislain Raze, Arnaud Deraemaeker, Christophe Collette, Gaëtan Kerschen
This paper presents an exact H ∞ tuning methodology for a positive position feedback (PPF) controller applied to a single-degree-of-freedom (SDOF) system. To this end, an equivalence between the closed-loop receptances of a PPF controller and a resistive–inductive shunt with a negative capacitance is put forward, which, in turn, enables us to adopt the existing shunt tuning rule in the active control case. The resulting tuning procedure is demonstrated using two numerical examples, namely, an SDOF system and a finite element model of a cantilever beam. Based on the results obtained on the cantilever beam, it is shown that the influence of higher-frequency modes cannot be neglected to obtain effective vibration damping. The design procedure proposed for the PPF controller is then extended to this case and validated using an experimental cantilever beam.
本文针对应用于单自由度（SDOF）系统的位置正反馈（PPF）控制器，提出了一种精确的 H ∞ 调节方法。为此，我们提出了 PPF 控制器的闭环受体与具有负电容的电阻-电感分流器之间的等价关系，这反过来又使我们能够在主动控制情况下采用现有的分流器调谐规则。我们通过两个数值示例，即 SDOF 系统和悬臂梁的有限元模型，演示了由此产生的调谐程序。根据在悬臂梁上获得的结果表明，要获得有效的减振效果，就不能忽视高频模态的影响。随后，针对 PPF 控制器提出的设计程序被扩展到这种情况，并通过实验悬臂梁进行了验证。
{"title":"H∞ tuning rules for positive position feedback controllers: The single-degree-of-freedom case and beyond","authors":"Jennifer Dietrich, Ghislain Raze, Arnaud Deraemaeker, Christophe Collette, Gaëtan Kerschen","doi":"10.1177/10775463241258801","DOIUrl":"https://doi.org/10.1177/10775463241258801","url":null,"abstract":"This paper presents an exact H<jats:sub> ∞</jats:sub> tuning methodology for a positive position feedback (PPF) controller applied to a single-degree-of-freedom (SDOF) system. To this end, an equivalence between the closed-loop receptances of a PPF controller and a resistive–inductive shunt with a negative capacitance is put forward, which, in turn, enables us to adopt the existing shunt tuning rule in the active control case. The resulting tuning procedure is demonstrated using two numerical examples, namely, an SDOF system and a finite element model of a cantilever beam. Based on the results obtained on the cantilever beam, it is shown that the influence of higher-frequency modes cannot be neglected to obtain effective vibration damping. The design procedure proposed for the PPF controller is then extended to this case and validated using an experimental cantilever beam.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"24 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-26DOI: 10.1177/10775463241260987
Sanjay Kumar Raj, Bamadev Sahoo, Alok Ranjan Nayak, Lokanath Panda
The analytical–numerical approach has been adopted to investigate the nonlinear planner response of an axially accelerating beam with the coexistence of additive-type combination parametric resonance and internal resonance. This study includes geometric nonlinearity developed due to the stretching of the neutral layer, longitudinally varying tension, harmonically fluctuating speed, material, and modal dampings. For the suitable value of the system parameters, the second natural frequency of the moving system is approximately equal to three times of first mode, consequently, three-to-one internal resonance activates for a specific range of mean axial speed. The perturbation method of multiple time scales is adopted to solve the beams governing integro-partial differential equation motion with associated end conditions, resulting in complex variable modulation equations that control amplitude and phase modulation. The continuation algorithm technique is used to compute these modulation equations to study the impact of various control parameters, such as internal frequency detuning parameter, variable speed, pulley stiffness parameter, and axial stiffness through the frequency and amplitude response curves. Trivial state stability plots are also presented to illustrate the impact of material and external dampings on the stability of the system. The findings of this analysis are unique and still need to be addressed in the literature.
{"title":"Multi-scale analysis for dynamic stability of an axially accelerating viscoelastic beam subjected to combination parametric resonance","authors":"Sanjay Kumar Raj, Bamadev Sahoo, Alok Ranjan Nayak, Lokanath Panda","doi":"10.1177/10775463241260987","DOIUrl":"https://doi.org/10.1177/10775463241260987","url":null,"abstract":"The analytical–numerical approach has been adopted to investigate the nonlinear planner response of an axially accelerating beam with the coexistence of additive-type combination parametric resonance and internal resonance. This study includes geometric nonlinearity developed due to the stretching of the neutral layer, longitudinally varying tension, harmonically fluctuating speed, material, and modal dampings. For the suitable value of the system parameters, the second natural frequency of the moving system is approximately equal to three times of first mode, consequently, three-to-one internal resonance activates for a specific range of mean axial speed. The perturbation method of multiple time scales is adopted to solve the beams governing integro-partial differential equation motion with associated end conditions, resulting in complex variable modulation equations that control amplitude and phase modulation. The continuation algorithm technique is used to compute these modulation equations to study the impact of various control parameters, such as internal frequency detuning parameter, variable speed, pulley stiffness parameter, and axial stiffness through the frequency and amplitude response curves. Trivial state stability plots are also presented to illustrate the impact of material and external dampings on the stability of the system. The findings of this analysis are unique and still need to be addressed in the literature.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"57 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-26DOI: 10.1177/10775463241264112
Yi-Ang Zhang, Songye Zhu
Vibration control in civil engineering is often challenging due to the nonlinear nature of structures. Traditional control strategies have limitations in terms of modeling accuracy and scalability, especially when analyzing complex nonlinear systems. To solve this problem, this study proposes a model-free active vibration control technique specifically for nonlinear systems, which employs deep reinforcement learning (DRL) to train a neural network controller. The effectiveness and practicality of the proposed method have been validated on a shallow, simply supported buckled beam. The results prove that DRL can significantly increase the safety margin and effectively mitigate buckling under high load levels without requiring extra energy. Compared with conventional model-based linear and polynomial controllers, the proposed control strategy demonstrates excellent adaptability and ease of implementation. This research aims to supplement and expand the existing understanding of DRL applications in structural control, pointing towards a promising direction for future technological advancements and real-world applications.
{"title":"Active nonlinear vibration control of a buckled beam based on deep reinforcement learning","authors":"Yi-Ang Zhang, Songye Zhu","doi":"10.1177/10775463241264112","DOIUrl":"https://doi.org/10.1177/10775463241264112","url":null,"abstract":"Vibration control in civil engineering is often challenging due to the nonlinear nature of structures. Traditional control strategies have limitations in terms of modeling accuracy and scalability, especially when analyzing complex nonlinear systems. To solve this problem, this study proposes a model-free active vibration control technique specifically for nonlinear systems, which employs deep reinforcement learning (DRL) to train a neural network controller. The effectiveness and practicality of the proposed method have been validated on a shallow, simply supported buckled beam. The results prove that DRL can significantly increase the safety margin and effectively mitigate buckling under high load levels without requiring extra energy. Compared with conventional model-based linear and polynomial controllers, the proposed control strategy demonstrates excellent adaptability and ease of implementation. This research aims to supplement and expand the existing understanding of DRL applications in structural control, pointing towards a promising direction for future technological advancements and real-world applications.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"1 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-24DOI: 10.1177/10775463241262117
Swapnil Ninawe, Raghavendra Deshmukh
The empirical mode decomposition (EMD) method is a technique that recursively decomposes an input signal into intrinsic mode functions (IMFs) by residual signals, primarily for identifying desirable features. The suggested algorithm observes the residual signal instead of the IMF, which lowers the computing load. The study introduces a new method for detecting bearing faults by enhancing signal extraction from sensor data using EMD and multi-axis feature extraction. This method streamlines the process by filtering out high-frequency noise and correlating residual signal information with analysis. The approach also enhances the signal-to-noise ratio (SNR) and feature signature identification using digital signal processing (DSP) techniques. The algorithm for vibration data analysis is tested for bearing failures, identifying shaft frequency and inner race bearing faults, which can be implemented in parallel. For the inner race fault bearing analysis, two-level EMD with a residual signal generates output similar to five-iteration EMD, saving 60% of computations. The use of spectral multiplication to multi-axis data processing produced a rise in the SNR of 18.32 dB to 20.92 dB for Y-axis and X-axis input, respectively. When compared to the single-axis IMF data computation, 20% fewer iterations are needed overall. A single-level EMD is adequate for calculating the rotational frequency of a healthy bearing. For the Y- and X-axis input, multi-axis analysis increases SNR by 10.68 dB and 13.14 dB, accordingly. This comprehensive strategy reduces computational complexity, improves fault detection accuracy, and minimizes noise impact, making it a promising solution for bearing fault detection.
经验模态分解法（EMD）是一种通过残差信号将输入信号递归分解为本征模态函数（IMF）的技术，主要用于识别理想特征。所建议的算法观察的是残差信号而不是 IMF，从而降低了计算负荷。该研究通过使用 EMD 和多轴特征提取加强传感器数据的信号提取，引入了一种检测轴承故障的新方法。该方法通过滤除高频噪声并将残余信号信息与分析相关联，简化了流程。该方法还利用数字信号处理（DSP）技术提高了信噪比（SNR）和特征识别能力。该振动数据分析算法针对轴承故障进行了测试，可识别轴频和内滚道轴承故障，并可并行执行。在轴承内圈故障分析中，两级残差信号 EMD 产生的输出与五级迭代 EMD 相似，节省了 60% 的计算量。在多轴数据处理中使用频谱乘法后，Y 轴和 X 轴输入的信噪比分别提高了 18.32 dB 和 20.92 dB。与单轴 IMF 数据计算相比，迭代次数总体上减少了 20%。单级 EMD 足以计算健康轴承的旋转频率。对于 Y 轴和 X 轴输入，多轴分析可将信噪比分别提高 10.68 dB 和 13.14 dB。这种综合策略降低了计算复杂度，提高了故障检测精度，并最大限度地减少了噪声影响，是一种很有前途的轴承故障检测解决方案。
{"title":"Efficient vibration analysis system using empirical mode decomposition residual signal and multi-axis data","authors":"Swapnil Ninawe, Raghavendra Deshmukh","doi":"10.1177/10775463241262117","DOIUrl":"https://doi.org/10.1177/10775463241262117","url":null,"abstract":"The empirical mode decomposition (EMD) method is a technique that recursively decomposes an input signal into intrinsic mode functions (IMFs) by residual signals, primarily for identifying desirable features. The suggested algorithm observes the residual signal instead of the IMF, which lowers the computing load. The study introduces a new method for detecting bearing faults by enhancing signal extraction from sensor data using EMD and multi-axis feature extraction. This method streamlines the process by filtering out high-frequency noise and correlating residual signal information with analysis. The approach also enhances the signal-to-noise ratio (SNR) and feature signature identification using digital signal processing (DSP) techniques. The algorithm for vibration data analysis is tested for bearing failures, identifying shaft frequency and inner race bearing faults, which can be implemented in parallel. For the inner race fault bearing analysis, two-level EMD with a residual signal generates output similar to five-iteration EMD, saving 60% of computations. The use of spectral multiplication to multi-axis data processing produced a rise in the SNR of 18.32 dB to 20.92 dB for Y-axis and X-axis input, respectively. When compared to the single-axis IMF data computation, 20% fewer iterations are needed overall. A single-level EMD is adequate for calculating the rotational frequency of a healthy bearing. For the Y- and X-axis input, multi-axis analysis increases SNR by 10.68 dB and 13.14 dB, accordingly. This comprehensive strategy reduces computational complexity, improves fault detection accuracy, and minimizes noise impact, making it a promising solution for bearing fault detection.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"412 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the field of intelligent machinery fault diagnosis, overcoming challenges arising from scarce labeled data and the demand for deployment on resource-constrained edge devices is imperative. To address these hurdles, this work aims to improve the ability of deep learning models to learn strong feature representations from limited data, while also reducing the model complexity. We presenting a novel network named TEdgeNeXt, the approach begins with a new signal-to-image conversion method, which is proved to be able to acquire less training data quantity. Structurally, the Convolutional (Conv.) Encoder initially is employed with depth-wise separable convolution to control the size of model rather than the traditional convolution, and the Split Depth-wise Transpose Attention (SDTA) encoder is consequently utilized by leveraging a multidimensional processing approach and the Multi-head Self-Attention which is across the channel dimensions instead of the spatial channel. By doing so, it effectively handles challenges such as high multiply-additions (MAdds) and increased latency through Flops and params. On the other hand, the fine-tune-based transfer learning technique is able to be extended in our approach for improving the capacity of generalizing. Ultimately, it indicates the noticeable improvements in Top-1 Accuracy (T1A), Mean Precision (MP), Mean Recall (MR), and Mean F1 score (MF1) across three distinct datasets.
在智能机械故障诊断领域，当务之急是克服标注数据稀缺和在资源受限的边缘设备上部署的需求所带来的挑战。为了解决这些难题，本研究旨在提高深度学习模型从有限数据中学习强特征表征的能力，同时降低模型的复杂性。我们提出了一种名为 TEdgeNeXt 的新型网络，该方法从一种新的信号到图像转换方法开始，事实证明这种方法能够获得更少的训练数据量。在结构上，首先采用深度可分离卷积（Conv.）编码器来控制模型的大小，而不是传统的卷积，然后利用多维处理方法和多头自注意（Multi-head Self-Attention）编码器来控制模型的大小。这样，它就能通过翻转和参数有效地应对高乘法加法（MAdds）和延迟增加等挑战。另一方面，基于微调的迁移学习技术可以在我们的方法中得到扩展，以提高泛化能力。结果表明，在三个不同的数据集上，Top-1 Accuracy (T1A)、Mean Precision (MP)、Mean Recall (MR) 和 Mean F1 score (MF1) 均有明显改善。
{"title":"A hybrid network TEdgeNeXt for data-limited and resource-constrained fault diagnosis","authors":"Chenglong Zhang, Zijian Qiao, Hao Li, Xuefang Xu, Siyuan Ning, Chongyang Xie","doi":"10.1177/10775463241266277","DOIUrl":"https://doi.org/10.1177/10775463241266277","url":null,"abstract":"In the field of intelligent machinery fault diagnosis, overcoming challenges arising from scarce labeled data and the demand for deployment on resource-constrained edge devices is imperative. To address these hurdles, this work aims to improve the ability of deep learning models to learn strong feature representations from limited data, while also reducing the model complexity. We presenting a novel network named TEdgeNeXt, the approach begins with a new signal-to-image conversion method, which is proved to be able to acquire less training data quantity. Structurally, the Convolutional (Conv.) Encoder initially is employed with depth-wise separable convolution to control the size of model rather than the traditional convolution, and the Split Depth-wise Transpose Attention (SDTA) encoder is consequently utilized by leveraging a multidimensional processing approach and the Multi-head Self-Attention which is across the channel dimensions instead of the spatial channel. By doing so, it effectively handles challenges such as high multiply-additions (MAdds) and increased latency through Flops and params. On the other hand, the fine-tune-based transfer learning technique is able to be extended in our approach for improving the capacity of generalizing. Ultimately, it indicates the noticeable improvements in Top-1 Accuracy (T1A), Mean Precision (MP), Mean Recall (MR), and Mean F1 score (MF1) across three distinct datasets.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"69 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-24DOI: 10.1177/10775463241266328
Maria-Styliani Daraki, Konstantinos Marakakis, Georgia A Foutsitzi, Georgios E Stavroulakis
Shunted piezoelectric patches connected to passive electric circuits can be attached to a host structure for effective vibration attenuation. The effect of an auxetic layer to enhance the electromechanical coupling and subsequently the vibration suppression is studied here. Three different configurations are considered for the layer: a classical, a homogeneous auxetic and a layer with microstructure leading to auxetic behavior. First, is presented a modification of the “current-flowing” shunt circuit for multimode vibration control. Two finite element models have been validated, the frequency response graph of the system and the most suitable values of the electric parameters are calculated and a comparison is provided. Furthermore, it is shown that the vibration reduction of the second and third eigenmodes can be enhanced, provided that an auxetic of significant thickness is used. The results demonstrate the effect of the auxetic boosting on vibration suppression.
{"title":"Auxetic enhancement of the shunted piezoelectric effect for vibration suppression","authors":"Maria-Styliani Daraki, Konstantinos Marakakis, Georgia A Foutsitzi, Georgios E Stavroulakis","doi":"10.1177/10775463241266328","DOIUrl":"https://doi.org/10.1177/10775463241266328","url":null,"abstract":"Shunted piezoelectric patches connected to passive electric circuits can be attached to a host structure for effective vibration attenuation. The effect of an auxetic layer to enhance the electromechanical coupling and subsequently the vibration suppression is studied here. Three different configurations are considered for the layer: a classical, a homogeneous auxetic and a layer with microstructure leading to auxetic behavior. First, is presented a modification of the “current-flowing” shunt circuit for multimode vibration control. Two finite element models have been validated, the frequency response graph of the system and the most suitable values of the electric parameters are calculated and a comparison is provided. Furthermore, it is shown that the vibration reduction of the second and third eigenmodes can be enhanced, provided that an auxetic of significant thickness is used. The results demonstrate the effect of the auxetic boosting on vibration suppression.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"11 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper investigates the vibration behavior of a 10-story benchmark building controlled with an active tuned mass damper (ATMD) under earthquake loads. An ATMD, typically installed on the top floor, is a modified form of a tuned mass damper (TMD) that includes a mass, spring, damper, and an actuator enhancing system performance and structural damping. The force and movement direction of the ATMD are controlled by a processor and actuator. In the ATMD system, control algorithms determine the magnitude and direction of the applied force. This research introduces a new control algorithm based on the structure’s dynamic response and ATMD stiffness. To evaluate the performance of this algorithm, linear–quadratic regulator (LQR) and fuzzy logic controller (FLC) algorithms were designed and presented for comparison. The results indicate that the proposed algorithm outperformed the other algorithms, reducing the structure’s displacement and acceleration responses by an average of 40% and 28.16%, respectively, compared to the uncontrolled state.
{"title":"Vibration control of structure using active tuned mass damper: A new control algorithm","authors":"Motasam Mousaviyan Safakhaneh, Maziar Fahimi Farzam, Hamzeh Ahmadi, Arash Farnam","doi":"10.1177/10775463241263889","DOIUrl":"https://doi.org/10.1177/10775463241263889","url":null,"abstract":"This paper investigates the vibration behavior of a 10-story benchmark building controlled with an active tuned mass damper (ATMD) under earthquake loads. An ATMD, typically installed on the top floor, is a modified form of a tuned mass damper (TMD) that includes a mass, spring, damper, and an actuator enhancing system performance and structural damping. The force and movement direction of the ATMD are controlled by a processor and actuator. In the ATMD system, control algorithms determine the magnitude and direction of the applied force. This research introduces a new control algorithm based on the structure’s dynamic response and ATMD stiffness. To evaluate the performance of this algorithm, linear–quadratic regulator (LQR) and fuzzy logic controller (FLC) algorithms were designed and presented for comparison. The results indicate that the proposed algorithm outperformed the other algorithms, reducing the structure’s displacement and acceleration responses by an average of 40% and 28.16%, respectively, compared to the uncontrolled state.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"82 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The in-wheel-motor electric vehicle (IWM-EV) is hailed as the epitome of driving ingenuity within the realm of electric vehicles. Nonetheless, the intricate nature of its components, compounded by the intricate interplay of multiple force fields, poses a significant detriment to ride comfort. In the present study, an IWM-EV driven by a permanent magnet synchronous motor was employed as a representative case study. Initially, the calculations were conducted to determine the unbalanced magnetic force (UMF) in the presence of static eccentricity of the stator. Subsequently, the characteristics of UMF across different ratios of static eccentricity as well as different velocities in the time domains were analyzed. Furthermore, the road-electromagnetic-mechanical model was developed to investigate the influence of UMF on the vertical vibration of IWM-EV under static eccentricity, comparing it against the scenario devoid of UMF. Finally, a reinforcement learning control approach was adopted to regulate the active suspension system, comparing its efficacy with that of passive suspension and semi-active suspension (specifically, skyhook control). Through extensive simulations, the results demonstrated that the reinforcement learning control strategy derived from the road-electromagnetic-mechanical model outperforms the other two control strategies, exhibiting commendable resilience and adaptability across diverse road surfaces and velocities. This study unveiled the potential of RL methods in enhancing riding comfort through active suspension control.
{"title":"Vertical vibration control to the in-wheel-motor electric vehicles with static eccentricity based on a reinforcement learning method","authors":"Dawei Zhang, Chen Zhong, Shuizhou Liu, Peijuan Xu, Yiyang Tian","doi":"10.1177/10775463241264047","DOIUrl":"https://doi.org/10.1177/10775463241264047","url":null,"abstract":"The in-wheel-motor electric vehicle (IWM-EV) is hailed as the epitome of driving ingenuity within the realm of electric vehicles. Nonetheless, the intricate nature of its components, compounded by the intricate interplay of multiple force fields, poses a significant detriment to ride comfort. In the present study, an IWM-EV driven by a permanent magnet synchronous motor was employed as a representative case study. Initially, the calculations were conducted to determine the unbalanced magnetic force (UMF) in the presence of static eccentricity of the stator. Subsequently, the characteristics of UMF across different ratios of static eccentricity as well as different velocities in the time domains were analyzed. Furthermore, the road-electromagnetic-mechanical model was developed to investigate the influence of UMF on the vertical vibration of IWM-EV under static eccentricity, comparing it against the scenario devoid of UMF. Finally, a reinforcement learning control approach was adopted to regulate the active suspension system, comparing its efficacy with that of passive suspension and semi-active suspension (specifically, skyhook control). Through extensive simulations, the results demonstrated that the reinforcement learning control strategy derived from the road-electromagnetic-mechanical model outperforms the other two control strategies, exhibiting commendable resilience and adaptability across diverse road surfaces and velocities. This study unveiled the potential of RL methods in enhancing riding comfort through active suspension control.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"57 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-24DOI: 10.1177/10775463241263374
Frédéric Thiebaud, Tarak Ben Zineb
Shape memory alloys (SMAs) are promising candidates for use in sensors, actuators, or passive dampers. This paper investigates the dynamic response of a superelastic NiTi holed disk to assess its damping performance relative to frequency and temperature for SMA-based damper applications. This study involved several key steps. Initially, the superelastic behavior of the SMA was experimentally characterized through tensile tests. This testing campaign provided the required data to identify material parameters of a thermomechanical constitutive model, already implemented in the finite element code Abaqus. Using the identified parameters, a finite element based structural analysis was conducted to predict the disk’s operational range, ensuring it remained within the superelastic domain without incurring potential damage. Following this static analysis, a dynamic mechanical analysis (DMA) was performed on the disk. By employing a complex stiffness approach, we further examined the disk’s damping effects. This dynamic method enabled a detailed description of the apparent stiffness and damping characteristics based on solicitation frequency, test temperature, vibration amplitude, and a predefined static displacement. The results indicated a clearly predominant structural effect over the phase transformation effect, despite the disk’s substantial damping potential.
形状记忆合金 (SMA) 是传感器、致动器或无源阻尼器的理想候选材料。本文研究了超弹性镍钛孔盘的动态响应，以评估其在基于 SMA 的阻尼器应用中相对于频率和温度的阻尼性能。这项研究涉及几个关键步骤。首先，通过拉伸测试对 SMA 的超弹性行为进行实验表征。该测试活动提供了所需的数据，用于确定热力学构成模型的材料参数，该模型已在有限元代码 Abaqus 中实施。利用确定的参数，进行了基于有限元的结构分析，以预测磁盘的工作范围，确保其保持在超弹性域内而不会造成潜在损坏。在静态分析之后，又对磁盘进行了动态机械分析（DMA）。通过采用复杂刚度方法，我们进一步检验了磁盘的阻尼效应。这种动态方法能够根据激励频率、测试温度、振动幅度和预定义的静态位移详细描述表观刚度和阻尼特性。结果表明，尽管圆盘具有很大的阻尼潜力，但结构效应明显优于相变效应。
{"title":"Structural analysis of the dynamic response of a shape memory alloy based damper","authors":"Frédéric Thiebaud, Tarak Ben Zineb","doi":"10.1177/10775463241263374","DOIUrl":"https://doi.org/10.1177/10775463241263374","url":null,"abstract":"Shape memory alloys (SMAs) are promising candidates for use in sensors, actuators, or passive dampers. This paper investigates the dynamic response of a superelastic NiTi holed disk to assess its damping performance relative to frequency and temperature for SMA-based damper applications. This study involved several key steps. Initially, the superelastic behavior of the SMA was experimentally characterized through tensile tests. This testing campaign provided the required data to identify material parameters of a thermomechanical constitutive model, already implemented in the finite element code Abaqus. Using the identified parameters, a finite element based structural analysis was conducted to predict the disk’s operational range, ensuring it remained within the superelastic domain without incurring potential damage. Following this static analysis, a dynamic mechanical analysis (DMA) was performed on the disk. By employing a complex stiffness approach, we further examined the disk’s damping effects. This dynamic method enabled a detailed description of the apparent stiffness and damping characteristics based on solicitation frequency, test temperature, vibration amplitude, and a predefined static displacement. The results indicated a clearly predominant structural effect over the phase transformation effect, despite the disk’s substantial damping potential.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"166 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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