Pub Date : 2024-09-14DOI: 10.1177/10775463241282388
Javad Palizvan Zand, Javad Katebi, Chunwei Zhang
This paper introduces a novel framework for robust controller synthesis in oscillating systems by synergistically combining generalized linear matrix inequalities (GLMIs) with the Buckingham Π theorem. The primary goal is to enhance the design of robust controllers for systems with uncertain parameters through the exploitation of dimensionless groups derived from the Buckingham Π theorem. By establishing a dimensionless state-space representation, the proposed approach demonstrates adaptability to a broad spectrum of similar systems. The LMI-based formulation facilitates the systematic design of controllers capable of effectively mitigating the impact of parametric uncertainties. Simulation results for an uncertain inverted pendulum and a vehicle active suspension system validate the superior performance of the proposed method compared to conventional control techniques, such as MPC, LQG, SMC, PID, and LQR. For the uncertain inverted pendulum system, the proposed robust control scheme achieves a cart position stabilization in 5.35 s and pendulum stabilization in 6.3 s, which is faster than standard control algorithms. In the context of the vehicle active suspension system, the performance indices for sprung mass acceleration, suspension deflection, and tire deflection are 0.19, 0.47, and 0.07, respectively. These values indicate significant reductions when compared to conventional passive suspension systems and standard robust control methodologies.
{"title":"Integrating of LMIs with Buckingham Π theorem for control of uncertain oscillating systems","authors":"Javad Palizvan Zand, Javad Katebi, Chunwei Zhang","doi":"10.1177/10775463241282388","DOIUrl":"https://doi.org/10.1177/10775463241282388","url":null,"abstract":"This paper introduces a novel framework for robust controller synthesis in oscillating systems by synergistically combining generalized linear matrix inequalities (GLMIs) with the Buckingham Π theorem. The primary goal is to enhance the design of robust controllers for systems with uncertain parameters through the exploitation of dimensionless groups derived from the Buckingham Π theorem. By establishing a dimensionless state-space representation, the proposed approach demonstrates adaptability to a broad spectrum of similar systems. The LMI-based formulation facilitates the systematic design of controllers capable of effectively mitigating the impact of parametric uncertainties. Simulation results for an uncertain inverted pendulum and a vehicle active suspension system validate the superior performance of the proposed method compared to conventional control techniques, such as MPC, LQG, SMC, PID, and LQR. For the uncertain inverted pendulum system, the proposed robust control scheme achieves a cart position stabilization in 5.35 s and pendulum stabilization in 6.3 s, which is faster than standard control algorithms. In the context of the vehicle active suspension system, the performance indices for sprung mass acceleration, suspension deflection, and tire deflection are 0.19, 0.47, and 0.07, respectively. These values indicate significant reductions when compared to conventional passive suspension systems and standard robust control methodologies.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142255537","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 : 2024-09-14DOI: 10.1177/10775463241273842
Abdel Wahhab Lourari, Bilal El Yousfi, Tarak Benkedjouh, Ahmed Bouzar Essaidi, Abdenour Soualhi
In the domain of signal analysis for machinery health monitoring and fault diagnosis, this paper introduces a comprehensive methodology that integrates Variational Mode Decomposition (VMD), Particle Swarm Optimization (PSO), and advanced machine learning techniques. The primary objective of this framework is to establish a robust and precise approach for signal decomposition, determining the optimal number of Intrinsic Mode Functions (IMF), and calculating key indicators, including L2/L1, Hoyer Index, and Geometric Mean Improved Gini Index (GMIGI). The methodology initiates with VMD-based signal decomposition, followed by the utilization of PSO to identify the most appropriate number of IMFs for accurate feature extraction. Subsequently, each IMF’s performance is assessed by evaluating its correlation with the input signal, and the IMF with the highest Pearson coefficient is selected as the primary feature for diagnostic purposes. To ensure the robustness and comparability of these indicators, a standardization process is implemented. The standardized indicators are then employed for machinery fault diagnosis, utilizing a diverse set of machine learning algorithms such as support vector machines and discriminant analysis. The proposed methodology undergoes rigorous validation using vibration, acoustic, and current signals, providing a versatile solution for the condition monitoring and diagnosis of mechanical systems. For model validation, we utilize four datasets comprising two vibrational, one acoustic, and one electrical dataset. The experimental results affirm the effectiveness of our approach in accurately detecting and diagnosing faults, thereby contributing to the reliability and maintenance efficiency of industrial machinery.
在用于机械健康监测和故障诊断的信号分析领域，本文介绍了一种集成了变异模式分解（VMD）、粒子群优化（PSO）和先进机器学习技术的综合方法。该框架的主要目标是建立一种稳健而精确的信号分解方法，确定本征模式函数（IMF）的最佳数量，并计算包括 L2/L1、霍耶指数和几何平均改进基尼指数（GMIGI）在内的关键指标。该方法首先进行基于 VMD 的信号分解，然后利用 PSO 确定最合适的 IMF 数量，以实现准确的特征提取。随后，通过评估每个 IMF 与输入信号的相关性来评估其性能，并选择皮尔逊系数最高的 IMF 作为诊断目的的主要特征。为确保这些指标的稳健性和可比性，还实施了标准化流程。然后，利用支持向量机和判别分析等各种机器学习算法，将标准化指标用于机器故障诊断。所提出的方法利用振动、声学和电流信号进行了严格的验证，为机械系统的状态监测和诊断提供了多功能解决方案。为了验证模型，我们使用了四个数据集，包括两个振动数据集、一个声学数据集和一个电气数据集。实验结果证实了我们的方法在准确检测和诊断故障方面的有效性，从而有助于提高工业机械的可靠性和维护效率。
{"title":"Enhancing bearing and gear fault diagnosis: A VMD-PSO approach with multisensory signal integration","authors":"Abdel Wahhab Lourari, Bilal El Yousfi, Tarak Benkedjouh, Ahmed Bouzar Essaidi, Abdenour Soualhi","doi":"10.1177/10775463241273842","DOIUrl":"https://doi.org/10.1177/10775463241273842","url":null,"abstract":"In the domain of signal analysis for machinery health monitoring and fault diagnosis, this paper introduces a comprehensive methodology that integrates Variational Mode Decomposition (VMD), Particle Swarm Optimization (PSO), and advanced machine learning techniques. The primary objective of this framework is to establish a robust and precise approach for signal decomposition, determining the optimal number of Intrinsic Mode Functions (IMF), and calculating key indicators, including L2/L1, Hoyer Index, and Geometric Mean Improved Gini Index (GMIGI). The methodology initiates with VMD-based signal decomposition, followed by the utilization of PSO to identify the most appropriate number of IMFs for accurate feature extraction. Subsequently, each IMF’s performance is assessed by evaluating its correlation with the input signal, and the IMF with the highest Pearson coefficient is selected as the primary feature for diagnostic purposes. To ensure the robustness and comparability of these indicators, a standardization process is implemented. The standardized indicators are then employed for machinery fault diagnosis, utilizing a diverse set of machine learning algorithms such as support vector machines and discriminant analysis. The proposed methodology undergoes rigorous validation using vibration, acoustic, and current signals, providing a versatile solution for the condition monitoring and diagnosis of mechanical systems. For model validation, we utilize four datasets comprising two vibrational, one acoustic, and one electrical dataset. The experimental results affirm the effectiveness of our approach in accurately detecting and diagnosing faults, thereby contributing to the reliability and maintenance efficiency of industrial machinery.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142255536","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 : 2024-09-14DOI: 10.1177/10775463241280330
Qiaoyi Wang, Zhen Zhang, Hanbin Zhu
This study investigates the impact of variable friction characteristics at the rolling interface on the vertical vibration of plate and strip rolling mills. Based on the optimized Karman equilibrium theory, a dynamic rolling force model considering the front and back tension, elastic stretching, and rolling speed was established. The amplitude-frequency response equation of rolling mill system is solved by multi-scale method, and the influence of main parameters on vertical vibration of rolling mill system is analyzed. The results show that the increase of the first stiffness coefficient of dynamic rolling force leads to the decrease of the principal common amplitude of the system. On the contrary, when the third stiffness coefficient increases, the system exhibits a jump phenomenon. When the third stiffness coefficient of dynamic rolling force is reduced within a certain range, a stable and unique solution is obtained without jumping phenomenon. Moreover, the smaller the damping coefficient of the upper and lower roller system is, the larger the vibration amplitude is and the jump phenomenon occurs. Decreasing the external disturbance force can effectively reduce the system’s vertical vibration amplitude and suppress the resonance. In addition, with the change of external disturbance force, the roll system of the rolling mill shows a variety of complex motion states, such as periodic motion, double-periodic motion, and chaotic motion. The research results provide an effective theoretical reference for the suppression of vertical vibration of rolling mill.
{"title":"Vertical vibration analysis of rolling interface based on dynamic rolling force with variable friction characteristics","authors":"Qiaoyi Wang, Zhen Zhang, Hanbin Zhu","doi":"10.1177/10775463241280330","DOIUrl":"https://doi.org/10.1177/10775463241280330","url":null,"abstract":"This study investigates the impact of variable friction characteristics at the rolling interface on the vertical vibration of plate and strip rolling mills. Based on the optimized Karman equilibrium theory, a dynamic rolling force model considering the front and back tension, elastic stretching, and rolling speed was established. The amplitude-frequency response equation of rolling mill system is solved by multi-scale method, and the influence of main parameters on vertical vibration of rolling mill system is analyzed. The results show that the increase of the first stiffness coefficient of dynamic rolling force leads to the decrease of the principal common amplitude of the system. On the contrary, when the third stiffness coefficient increases, the system exhibits a jump phenomenon. When the third stiffness coefficient of dynamic rolling force is reduced within a certain range, a stable and unique solution is obtained without jumping phenomenon. Moreover, the smaller the damping coefficient of the upper and lower roller system is, the larger the vibration amplitude is and the jump phenomenon occurs. Decreasing the external disturbance force can effectively reduce the system’s vertical vibration amplitude and suppress the resonance. In addition, with the change of external disturbance force, the roll system of the rolling mill shows a variety of complex motion states, such as periodic motion, double-periodic motion, and chaotic motion. The research results provide an effective theoretical reference for the suppression of vertical vibration of rolling mill.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142255535","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}
As a signal demodulation analysis technique, Holo–Hilbert spectral analysis (HHSA) excels in capturing the intricate cross-scale coupling dynamics present in nonlinear and non-stationary vibration signals. Nonetheless, HHSA suffers from a lack of rigorous mathematical foundation, is subject to modal mixing constraints, and exhibits limited noise robustness. To address the aforementioned issues, this study presents an innovative nonlinear and non-stationary signal demodulation technique, referred to as adaptive fast iterative filter Holo-spectrum analysis (AFIFHSA). Also, an adaptive fast iterative filtering (AFIF) algorithm incorporated within AFIFHSA is designed to dynamically achieve a nonlinear and non-stationary signal decomposing. From that, several approximate narrowband signals, possessing physical significance at an instantaneous frequency, and a trend term can be obtained. Furthermore, the marginal spectrum (MS) obtained by AFIFHSA can be utilized to represent the effectiveness of fault characteristic identification. Lastly, the simulation and measured data are utilized to showcase AFIFHSA’s exceptional capabilities in recognizing high-resolution and eximious modulation relationships. The analysis outcomes additionally illustrate that AFIFHSA, as proposed, showcases superior performance in fault identification and robustness with comparison to other conventional approaches.
{"title":"Adaptive fast iterative filter Holo-spectrum analysis and its applications to fault diagnosis of rolling bearing","authors":"Guoliang Peng, Jinde Zheng, Baohong Tong, Jinyu Tong","doi":"10.1177/10775463241281763","DOIUrl":"https://doi.org/10.1177/10775463241281763","url":null,"abstract":"As a signal demodulation analysis technique, Holo–Hilbert spectral analysis (HHSA) excels in capturing the intricate cross-scale coupling dynamics present in nonlinear and non-stationary vibration signals. Nonetheless, HHSA suffers from a lack of rigorous mathematical foundation, is subject to modal mixing constraints, and exhibits limited noise robustness. To address the aforementioned issues, this study presents an innovative nonlinear and non-stationary signal demodulation technique, referred to as adaptive fast iterative filter Holo-spectrum analysis (AFIFHSA). Also, an adaptive fast iterative filtering (AFIF) algorithm incorporated within AFIFHSA is designed to dynamically achieve a nonlinear and non-stationary signal decomposing. From that, several approximate narrowband signals, possessing physical significance at an instantaneous frequency, and a trend term can be obtained. Furthermore, the marginal spectrum (MS) obtained by AFIFHSA can be utilized to represent the effectiveness of fault characteristic identification. Lastly, the simulation and measured data are utilized to showcase AFIFHSA’s exceptional capabilities in recognizing high-resolution and eximious modulation relationships. The analysis outcomes additionally illustrate that AFIFHSA, as proposed, showcases superior performance in fault identification and robustness with comparison to other conventional approaches.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142255498","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 : 2024-09-14DOI: 10.1177/10775463241283180
Minsheng Cao, Yu Fu, Shuqi Zhu, Ling Ling, Li Li
The frequency response functions (FRFs) are of critical interest to dynamic problems, however, they suffer from computational challenges for viscoelastically damped systems. In this paper, a physics-space-based reduction method is proposed for predicting the FRFs of large-scale viscoelastically damped systems involving the standard linear solid model. A physics-dimension subspace is constructed based on original system matrices and viscoelastic parameters, which can be easily generated by using a recursive manner. A projection basis generation algorithm is then developed to generate a standard orthonormal basis within the physics-dimension subspace. With the help of the standard orthonormal basis and the moment-matching-based reduction method, a physics-space-based reduction method is proposed for efficiently predicting the FRFs of large-scale viscoelastically damped systems. Unlike the widely used state-space reduction method, the reduced system of the proposed method can preserve system’s physical structure so that the physical meaning can be captured. Using both theoretical and numerical analyses, the proposed physics-space-based method is more accurate and efficient than the state-space-based reduction method.
{"title":"An efficient physics-dimension-based reduction method for computing frequency response functions of viscoelastically damped systems","authors":"Minsheng Cao, Yu Fu, Shuqi Zhu, Ling Ling, Li Li","doi":"10.1177/10775463241283180","DOIUrl":"https://doi.org/10.1177/10775463241283180","url":null,"abstract":"The frequency response functions (FRFs) are of critical interest to dynamic problems, however, they suffer from computational challenges for viscoelastically damped systems. In this paper, a physics-space-based reduction method is proposed for predicting the FRFs of large-scale viscoelastically damped systems involving the standard linear solid model. A physics-dimension subspace is constructed based on original system matrices and viscoelastic parameters, which can be easily generated by using a recursive manner. A projection basis generation algorithm is then developed to generate a standard orthonormal basis within the physics-dimension subspace. With the help of the standard orthonormal basis and the moment-matching-based reduction method, a physics-space-based reduction method is proposed for efficiently predicting the FRFs of large-scale viscoelastically damped systems. Unlike the widely used state-space reduction method, the reduced system of the proposed method can preserve system’s physical structure so that the physical meaning can be captured. Using both theoretical and numerical analyses, the proposed physics-space-based method is more accurate and efficient than the state-space-based reduction method.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142255497","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 : 2024-09-14DOI: 10.1177/10775463241278003
Xiaoli Liu, Shengchao Zhen, Faliang Wang, Ming Li
This paper presents a prescribed performance control scheme for an uncertain permanent magnet synchronous motor (PMSM) servo system. First, the position-tracking control goals are reformulated as servo constraints, while the prescribed tracking error performances are defined as performance constraints. Second, a modified prescribed performance function (PPF) is proposed to ensure the prescribed tracking performance, while the knowledge of the initial tracking error is unnecessary. Then, the new servo constraints are formulated by introducing the state transformation technique to incorporate the tracking error performance constraints into the servo constraints. Third, an adaptive robust constraint-following control (ARCFC) is presented to render the new servo constraints to be satisfied for the transformed system. Fourth, it is proved that the proposed ARCFC can ensure the position tracking error converges and remains in a preset bounded range. Finally, the simulation and experimental verification of the developed ARCFC are conducted.
{"title":"Adaptive robust control of the PMSM servo system with servo and performance constraints","authors":"Xiaoli Liu, Shengchao Zhen, Faliang Wang, Ming Li","doi":"10.1177/10775463241278003","DOIUrl":"https://doi.org/10.1177/10775463241278003","url":null,"abstract":"This paper presents a prescribed performance control scheme for an uncertain permanent magnet synchronous motor (PMSM) servo system. First, the position-tracking control goals are reformulated as servo constraints, while the prescribed tracking error performances are defined as performance constraints. Second, a modified prescribed performance function (PPF) is proposed to ensure the prescribed tracking performance, while the knowledge of the initial tracking error is unnecessary. Then, the new servo constraints are formulated by introducing the state transformation technique to incorporate the tracking error performance constraints into the servo constraints. Third, an adaptive robust constraint-following control (ARCFC) is presented to render the new servo constraints to be satisfied for the transformed system. Fourth, it is proved that the proposed ARCFC can ensure the position tracking error converges and remains in a preset bounded range. Finally, the simulation and experimental verification of the developed ARCFC are conducted.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142255540","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 : 2024-09-12DOI: 10.1177/10775463241281395
Ghazally IY Mustafa, Haoping Wang
This paper proposes a new adaptive fuzzy logic control for nonlinear car active suspension systems based on the time delay (TDAFLC). The proposed method comprises three terms: First, time-delay estimation (TDE) is used as an ultra-local model to estimate the active suspension system nonlinearities and unknown dynamics. Second, a desired dynamics injection part. Third, the adaptive fuzzy logic control is used as an extra input to reduce the effect of the TDE error. The adaptive fuzzy logic control is designed on a new sliding surface to achieve the desired error dynamics. The benefits of the TDAFLC controller are its simple structure and ease of regulation. In addition, the theoretical investigation of system stability, convergence speed, and control accuracy are demonstrated. Finally, using a co-simulation platform, the validation process compares TDAFLC to TDC, PID, and the conventional passive system for a two-degree-of-freedom quarter car active suspension system under different road excitations.
{"title":"A new adaptive fuzzy logic control for nonlinear car active suspension systems based on the time-delay","authors":"Ghazally IY Mustafa, Haoping Wang","doi":"10.1177/10775463241281395","DOIUrl":"https://doi.org/10.1177/10775463241281395","url":null,"abstract":"This paper proposes a new adaptive fuzzy logic control for nonlinear car active suspension systems based on the time delay (TDAFLC). The proposed method comprises three terms: First, time-delay estimation (TDE) is used as an ultra-local model to estimate the active suspension system nonlinearities and unknown dynamics. Second, a desired dynamics injection part. Third, the adaptive fuzzy logic control is used as an extra input to reduce the effect of the TDE error. The adaptive fuzzy logic control is designed on a new sliding surface to achieve the desired error dynamics. The benefits of the TDAFLC controller are its simple structure and ease of regulation. In addition, the theoretical investigation of system stability, convergence speed, and control accuracy are demonstrated. Finally, using a co-simulation platform, the validation process compares TDAFLC to TDC, PID, and the conventional passive system for a two-degree-of-freedom quarter car active suspension system under different road excitations.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208007","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 : 2024-09-12DOI: 10.1177/10775463241281766
Weilong Liu, Yijie He, Ziyuan Zhu, Feng Chen, Gang Wang
In this paper, the vibration and the sound radiation characteristics of a rectangular plate loaded with concentrated masses and translational springs are analyzed using the Rayleigh-Ritz solution, in which the modified Fourier series is used to describe the vibration displacements of the structure. Arbitrary boundary conditions are simulated by artificial virtual spring technique. The vibro-acoustic field coupling model is developed and the accuracy of the present method is validated by several numerical examples. The effect of different parameters on the vibration response and sound radiation power of the coupled model is discussed, including plate parameters, point mass and translational spring size, position and number, as well as the location of that point where the excitation force acts. The method and its analysis results can be used for vibro-acoustic coupling analysis and control of rectangular plates.
{"title":"Vibro-acoustic characteristics of rectangular plates with any number of point masses and translational springs","authors":"Weilong Liu, Yijie He, Ziyuan Zhu, Feng Chen, Gang Wang","doi":"10.1177/10775463241281766","DOIUrl":"https://doi.org/10.1177/10775463241281766","url":null,"abstract":"In this paper, the vibration and the sound radiation characteristics of a rectangular plate loaded with concentrated masses and translational springs are analyzed using the Rayleigh-Ritz solution, in which the modified Fourier series is used to describe the vibration displacements of the structure. Arbitrary boundary conditions are simulated by artificial virtual spring technique. The vibro-acoustic field coupling model is developed and the accuracy of the present method is validated by several numerical examples. The effect of different parameters on the vibration response and sound radiation power of the coupled model is discussed, including plate parameters, point mass and translational spring size, position and number, as well as the location of that point where the excitation force acts. The method and its analysis results can be used for vibro-acoustic coupling analysis and control of rectangular plates.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208011","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 : 2024-09-12DOI: 10.1177/10775463241282740
Dong Li, Shijing Fang, Chuang Sun, Zhengyu Zhang, Zhichao Lai
With larger rotors and taller towers developed to capture more wind energy, the tower structures become slenderer and more sensitive to wind loads, resulting in vortex-induced vibration (VIV) in both downwind and crosswind directions. The vibration control is faced with the challenges of broadband and multi-directional dynamic responses. Thus, this paper proposed a new type of dual-track nonlinear energy sink (NES) aimed to achieve the multi-mode and multi-direction vibration control of wind turbine towers. The two-degree-freedom coupled governing equations of the wind turbine tower with the dual-track NES are established and solved numerically, with full considerations of aerodynamics and fluid–solid interactions. Then, an optimized design of the dual-track NES is performed theoretically. To evaluate the vibration mitigation performance of the dual-track NES, a series of wind tunnel tests are carried out and analyzed further, in terms of the acceleration time-history response, statistical characteristics, frequency and damping ratio. It is demonstrated that the proposed NES functioning as an energy-dissipating device is efficient and robust in mitigating the dynamic response of wind turbine towers, even enabled to address the vortex resonance. It is remarkable that the dual-track NES can synchronously realize the vibration control in multi-mode and multi-direction by increasing the damping ratio of primary structure.
随着为获取更多风能而开发的更大转子和更高塔架的出现，塔架结构变得更加纤细，对风载荷也更加敏感，从而导致顺风和横风方向的涡流诱导振动（VIV）。振动控制面临着宽带和多方向动态响应的挑战。因此，本文提出了一种新型双轨非线性能量汇（NES），旨在实现风机塔架的多模式和多方向振动控制。本文在充分考虑空气动力学和流固耦合作用的基础上，建立并数值求解了带有双轨非线性能量沉降器的风力发电机塔架的二自由度耦合控制方程。然后，从理论上对双轨 NES 进行了优化设计。为了评估双轨 NES 的减振性能，进行了一系列风洞试验，并从加速度时序响应、统计特性、频率和阻尼比等方面进行了进一步分析。试验结果表明，所提出的 NES 作为一种能量消耗装置，能够高效、稳健地减缓风力涡轮机塔架的动态响应，甚至能够解决涡流共振问题。值得注意的是，双轨 NES 可通过提高主结构的阻尼比，同步实现多模式、多方向的振动控制。
{"title":"Passive structural control for wind turbine towers using a novel dual-track nonlinear energy sink","authors":"Dong Li, Shijing Fang, Chuang Sun, Zhengyu Zhang, Zhichao Lai","doi":"10.1177/10775463241282740","DOIUrl":"https://doi.org/10.1177/10775463241282740","url":null,"abstract":"With larger rotors and taller towers developed to capture more wind energy, the tower structures become slenderer and more sensitive to wind loads, resulting in vortex-induced vibration (VIV) in both downwind and crosswind directions. The vibration control is faced with the challenges of broadband and multi-directional dynamic responses. Thus, this paper proposed a new type of dual-track nonlinear energy sink (NES) aimed to achieve the multi-mode and multi-direction vibration control of wind turbine towers. The two-degree-freedom coupled governing equations of the wind turbine tower with the dual-track NES are established and solved numerically, with full considerations of aerodynamics and fluid–solid interactions. Then, an optimized design of the dual-track NES is performed theoretically. To evaluate the vibration mitigation performance of the dual-track NES, a series of wind tunnel tests are carried out and analyzed further, in terms of the acceleration time-history response, statistical characteristics, frequency and damping ratio. It is demonstrated that the proposed NES functioning as an energy-dissipating device is efficient and robust in mitigating the dynamic response of wind turbine towers, even enabled to address the vortex resonance. It is remarkable that the dual-track NES can synchronously realize the vibration control in multi-mode and multi-direction by increasing the damping ratio of primary structure.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142207955","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 : 2024-09-10DOI: 10.1177/10775463241276970
Enlai Zhang, Zhilong Peng, Yi Chen, Qian Chen, Jianming Zhuo
This paper proposed an improved filtered-x least mean square (FxLMS) algorithm based on the fuzzy control rule of Takagi–Sugeon–Kang (TSK) to solve the drawback of slow convergence for standard FxLMS algorithm. The TSK-FxLMS is a control framework with two inputs and three outputs constructed by the error signal and its integral as input variables. To validate its effectiveness and applicability, in-vehicle active noise control (ANC) modelling and adaptive noise reduction at the driver’s position of an electric bus are thoroughly investigated. Firstly, the four noise signals for the different working conditions at 50 km/h, acceleration, coasting and braking are collected, and their spectral analyses are performed. Secondly, the effects of step size and fuzzy control parameters of ANC model on weight convergence and noise reduction effect are analysed and determined. Finally, the results of calculating and comparing the residual signals’ waveforms, frequency spectra, sound pressure levels and tracking performance indicate that the proposed TSK-FxLMS algorithm outperforms the standard FxLMS algorithm with faster convergence and better noise reduction effect.
{"title":"An improved Takagi–Sugeon–Kang-based FxLMS algorithm and its active noise control in electric bus driving position","authors":"Enlai Zhang, Zhilong Peng, Yi Chen, Qian Chen, Jianming Zhuo","doi":"10.1177/10775463241276970","DOIUrl":"https://doi.org/10.1177/10775463241276970","url":null,"abstract":"This paper proposed an improved filtered-x least mean square (FxLMS) algorithm based on the fuzzy control rule of Takagi–Sugeon–Kang (TSK) to solve the drawback of slow convergence for standard FxLMS algorithm. The TSK-FxLMS is a control framework with two inputs and three outputs constructed by the error signal and its integral as input variables. To validate its effectiveness and applicability, in-vehicle active noise control (ANC) modelling and adaptive noise reduction at the driver’s position of an electric bus are thoroughly investigated. Firstly, the four noise signals for the different working conditions at 50 km/h, acceleration, coasting and braking are collected, and their spectral analyses are performed. Secondly, the effects of step size and fuzzy control parameters of ANC model on weight convergence and noise reduction effect are analysed and determined. Finally, the results of calculating and comparing the residual signals’ waveforms, frequency spectra, sound pressure levels and tracking performance indicate that the proposed TSK-FxLMS algorithm outperforms the standard FxLMS algorithm with faster convergence and better noise reduction effect.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208013","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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