Pub Date : 2024-06-08DOI: 10.1177/10775463241258527
Shuai Mo, Lei Wang, Qingsen Hu
This paper aims to reveal the vibration and tooth surface impact mechanism of the contact surface microstructure of the gear transmission system. Based on the fractal theory, the contact stiffness model of the gear is improved, and a dynamic model considering the micro-deformation of the contact surface is established. The height amplitude and frequency index of the gear surface microstructure jointly determine the type of microstructure deformation. By comparing and analyzing the dynamic response of the system with different fractal dimensions and scaling coefficient, it is found that the microstructure deformation not only reduces the stability of the planetary gear system but also causes a severe impact on the contact tooth surface. When the noise and vibration responses of the planetary gear train gradually stabilize and remain at a low level, the impact characteristics remain at a high level. Only when the fractal dimension is increased to more than 1.6, the impact characteristics of the tooth surface will decrease significantly. This has important theoretical guiding significance for the design and manufacture of high-speed and high-torque electric gear systems.
{"title":"Research on the micro-vibration mechanism of the planetary gear train based on fractal theory","authors":"Shuai Mo, Lei Wang, Qingsen Hu","doi":"10.1177/10775463241258527","DOIUrl":"https://doi.org/10.1177/10775463241258527","url":null,"abstract":"This paper aims to reveal the vibration and tooth surface impact mechanism of the contact surface microstructure of the gear transmission system. Based on the fractal theory, the contact stiffness model of the gear is improved, and a dynamic model considering the micro-deformation of the contact surface is established. The height amplitude and frequency index of the gear surface microstructure jointly determine the type of microstructure deformation. By comparing and analyzing the dynamic response of the system with different fractal dimensions and scaling coefficient, it is found that the microstructure deformation not only reduces the stability of the planetary gear system but also causes a severe impact on the contact tooth surface. When the noise and vibration responses of the planetary gear train gradually stabilize and remain at a low level, the impact characteristics remain at a high level. Only when the fractal dimension is increased to more than 1.6, the impact characteristics of the tooth surface will decrease significantly. This has important theoretical guiding significance for the design and manufacture of high-speed and high-torque electric gear systems.","PeriodicalId":508293,"journal":{"name":"Journal of Vibration and Control","volume":" 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141368995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-07DOI: 10.1177/10775463241257975
Jiqing Chen, Haiyan Zhang, Shangtao Pan, Yizhong Lin
A manipulator often cannot converge rapidly within finite time and has low tracking accuracy owing to factors such as manipulator model errors and external disturbances. To address these problems, this paper proposes a time-varying non-singular fast terminal sliding mode control scheme based on an improved variable power–power reaching law. First, three radial basis function neural networks (RBFNNs) are employed to approximate the dynamic parameters of the manipulator model and thus realize model-free control. Second, to achieve faster finite-time convergence of the system state, a time-varying non-singular fast terminal sliding-mode (NFTSM) surface is designed according to the system state change. In addition, an improved variable power–power reaching law is adopted to avoid chatter and eliminate approximation errors. Finally, comparative simulation experiments are conducted using a 2-DOF manipulator as the research object. The results show that the proposed control scheme facilitates fast convergence, high-precision trajectory tracking, and effective suppression of system chatter under complex uncertainties, thereby confirming its utility and superiority.
{"title":"Time-varying non-singular fast terminal sliding-mode control based on improved variable power–power reaching law","authors":"Jiqing Chen, Haiyan Zhang, Shangtao Pan, Yizhong Lin","doi":"10.1177/10775463241257975","DOIUrl":"https://doi.org/10.1177/10775463241257975","url":null,"abstract":"A manipulator often cannot converge rapidly within finite time and has low tracking accuracy owing to factors such as manipulator model errors and external disturbances. To address these problems, this paper proposes a time-varying non-singular fast terminal sliding mode control scheme based on an improved variable power–power reaching law. First, three radial basis function neural networks (RBFNNs) are employed to approximate the dynamic parameters of the manipulator model and thus realize model-free control. Second, to achieve faster finite-time convergence of the system state, a time-varying non-singular fast terminal sliding-mode (NFTSM) surface is designed according to the system state change. In addition, an improved variable power–power reaching law is adopted to avoid chatter and eliminate approximation errors. Finally, comparative simulation experiments are conducted using a 2-DOF manipulator as the research object. The results show that the proposed control scheme facilitates fast convergence, high-precision trajectory tracking, and effective suppression of system chatter under complex uncertainties, thereby confirming its utility and superiority.","PeriodicalId":508293,"journal":{"name":"Journal of Vibration and Control","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141372379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-07DOI: 10.1177/10775463241257576
Zhangpeng Ni, Wu Bing, Guangwen Xiao, Shen Quan, Linquan Yao
In the realm of train traction, achieving optimal utilization of wheel-rail adhesion is of utmost importance. The motor’s efficiency plays a significant role in this process. However, there has been limited research on adhesion optimization for motor control in recent years. Therefore, this paper proposes a neural network controller based on the Levenberg–Marquardt (LM) algorithm to improve adaptive regulation ability. This approach integrates the direct torque control (DTC) method, which utilizes a three-phase asynchronous motor to output torque and speed. By integrating these techniques, we mitigate the significant slip occurrence during complex low-adhesion scenarios. MATLAB/Simulink simulations are conducted using three different rails: dry, greasy, and wet, each with distinct characteristics. The obtained results demonstrate that the proposed strategy optimizes adhesion utilization while mitigating excessive slip, and exhibits excellent robustness and self-regulation capabilities throughout the adhesion optimization process.
{"title":"Wheel-rail adhesion control model by integrating neural network and direct torque control during traction under low adhesion","authors":"Zhangpeng Ni, Wu Bing, Guangwen Xiao, Shen Quan, Linquan Yao","doi":"10.1177/10775463241257576","DOIUrl":"https://doi.org/10.1177/10775463241257576","url":null,"abstract":"In the realm of train traction, achieving optimal utilization of wheel-rail adhesion is of utmost importance. The motor’s efficiency plays a significant role in this process. However, there has been limited research on adhesion optimization for motor control in recent years. Therefore, this paper proposes a neural network controller based on the Levenberg–Marquardt (LM) algorithm to improve adaptive regulation ability. This approach integrates the direct torque control (DTC) method, which utilizes a three-phase asynchronous motor to output torque and speed. By integrating these techniques, we mitigate the significant slip occurrence during complex low-adhesion scenarios. MATLAB/Simulink simulations are conducted using three different rails: dry, greasy, and wet, each with distinct characteristics. The obtained results demonstrate that the proposed strategy optimizes adhesion utilization while mitigating excessive slip, and exhibits excellent robustness and self-regulation capabilities throughout the adhesion optimization process.","PeriodicalId":508293,"journal":{"name":"Journal of Vibration and Control","volume":" 43","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141372272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-07DOI: 10.1177/10775463241257743
M. Majeed, Mariam Alali, Khalid Alghanim, Abdulaziz Alfadhli
This study presents a novel control strategy for an overhead crane system controlled by a predefined acceleration function covering the whole range of the rest-to-rest maneuvers. The proposed TORB-ZV shaper is tailored to eliminate residual oscillations promptly by integrating the inherited speed of the time-optimal rigid-body (TORB) shaper and the oscillation-mitigation capabilities of the zero-vibration (ZV) shaper. During the tri-stage maneuvering process, the system employs the TORB approach during the acceleration stage and the ZV strategy during the deceleration phase. This proposed TORB-ZV scenario provides maximum motor capacity usage and eliminates vibration as the system comes to rest. A double-pendulum model has been used to assess the robustness of the system and to validate the proposed approach numerically and experimentally. The proposed solution extends from the original nonlinear equations of the system by incorporating linear motion equations under minor swing angles for the payload, followed by an exhaustive search optimization to refine the controller, striving for the most efficient performance that combines minimized maneuver time with negligible residual vibrations. The presented technique significantly reduces the maneuvering time by at least 23% compared to the ZV shaper and improves the effectiveness and safety of overhead crane operations.
{"title":"Integrated time-optimal rigid-body and zero-vibration shapers on a two degrees of freedom overhead crane system","authors":"M. Majeed, Mariam Alali, Khalid Alghanim, Abdulaziz Alfadhli","doi":"10.1177/10775463241257743","DOIUrl":"https://doi.org/10.1177/10775463241257743","url":null,"abstract":"This study presents a novel control strategy for an overhead crane system controlled by a predefined acceleration function covering the whole range of the rest-to-rest maneuvers. The proposed TORB-ZV shaper is tailored to eliminate residual oscillations promptly by integrating the inherited speed of the time-optimal rigid-body (TORB) shaper and the oscillation-mitigation capabilities of the zero-vibration (ZV) shaper. During the tri-stage maneuvering process, the system employs the TORB approach during the acceleration stage and the ZV strategy during the deceleration phase. This proposed TORB-ZV scenario provides maximum motor capacity usage and eliminates vibration as the system comes to rest. A double-pendulum model has been used to assess the robustness of the system and to validate the proposed approach numerically and experimentally. The proposed solution extends from the original nonlinear equations of the system by incorporating linear motion equations under minor swing angles for the payload, followed by an exhaustive search optimization to refine the controller, striving for the most efficient performance that combines minimized maneuver time with negligible residual vibrations. The presented technique significantly reduces the maneuvering time by at least 23% compared to the ZV shaper and improves the effectiveness and safety of overhead crane operations.","PeriodicalId":508293,"journal":{"name":"Journal of Vibration and Control","volume":" 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141370507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-07DOI: 10.1177/10775463241259131
June-Yule Lee
An efficient algorithm for the condition monitoring of a system experiencing impact vibrations is proposed. The condition monitoring of the system is achieved using only observed signals. Delay embedding techniques are used to construct an equivalent system. The Jacobian matrix is approximated using different neighbourhood matrices, and principal Lyapunov exponents are calculated using the QR decomposition method (where Q represents an orthogonal matrix and R represents an upper triangular matrix). The proposed algorithm is then validated using impact velocity series and displacement data. Numerical bifurcation diagrams and the corresponding principal Lyapunov exponents are plotted with respect to various control parameters. The results indicate that sudden changes in impact vibrations can be detected successfully. The principal Lyapunov exponents align with the bifurcation diagram across the entire region. To assess the robustness of the proposed algorithm, the numerical bifurcation diagram is masked by transient noise or noise with a signal-to-noise ratio of 20 dB. Furthermore, the results indicate that the primary regions of stable and unstable impact vibrations can still be detected successfully.
本文提出了一种高效算法，用于对受到冲击振动的系统进行状态监测。系统的状态监测仅使用观测信号。延迟嵌入技术用于构建等效系统。雅各布矩阵使用不同的邻近矩阵进行近似，主 Lyapunov 指数使用 QR 分解法（其中 Q 代表正交矩阵，R 代表上三角矩阵）进行计算。然后利用冲击速度序列和位移数据对所提出的算法进行验证。绘制了与各种控制参数相关的数值分岔图和相应的主 Lyapunov 指数。结果表明，可以成功检测到冲击振动的突然变化。主 Lyapunov 指数与整个区域的分岔图一致。为了评估所提出算法的鲁棒性，数值分岔图被瞬态噪声或信噪比为 20 dB 的噪声所掩盖。此外，结果表明，稳定和不稳定冲击振动的主要区域仍可成功检测。
{"title":"Condition monitoring of impact vibrations using observed signals and estimated principal Lyapunov exponents","authors":"June-Yule Lee","doi":"10.1177/10775463241259131","DOIUrl":"https://doi.org/10.1177/10775463241259131","url":null,"abstract":"An efficient algorithm for the condition monitoring of a system experiencing impact vibrations is proposed. The condition monitoring of the system is achieved using only observed signals. Delay embedding techniques are used to construct an equivalent system. The Jacobian matrix is approximated using different neighbourhood matrices, and principal Lyapunov exponents are calculated using the QR decomposition method (where Q represents an orthogonal matrix and R represents an upper triangular matrix). The proposed algorithm is then validated using impact velocity series and displacement data. Numerical bifurcation diagrams and the corresponding principal Lyapunov exponents are plotted with respect to various control parameters. The results indicate that sudden changes in impact vibrations can be detected successfully. The principal Lyapunov exponents align with the bifurcation diagram across the entire region. To assess the robustness of the proposed algorithm, the numerical bifurcation diagram is masked by transient noise or noise with a signal-to-noise ratio of 20 dB. Furthermore, the results indicate that the primary regions of stable and unstable impact vibrations can still be detected successfully.","PeriodicalId":508293,"journal":{"name":"Journal of Vibration and Control","volume":" 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141374465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The engine blade is one of the important parts of the aero engine, vibration can lead to engine blade off or fracture. Active Vibration Control (AVC) has a higher flexibility is increasingly used to suppress the vibration of the blade. The filtered-x least mean square (FxLMS) algorithm is an adaptive algorithm commonly used in active vibration control, but its fixed step size has a contradiction between convergence speed and steady-state error. A new variable-step-size FxLMS (VSSFxLMS) algorithm based on hyperbolic secant function was proposed, and the sech function ensures the control signal is bounded. In the early stage, a larger step size enables the error to decrease rapidly. The step size decreases as the error decreases, and a smaller step size ensures a smaller steady-state error. Firstly, this paper summarizes three VSSFxLMS algorithms and proposes an improved algorithm; Secondly, it compares and analyses the mentioned algorithms; Then, a joint simulation platform using ADAMS and Simulink is built to verify the effectiveness of the proposed algorithms; Finally, an experimental platform was built to complete the blade vibration active control experiments using several VSSFxLMS algorithms, and the results of the experiment verify the better vibration suppression effect of the proposed algorithm.
{"title":"Research on active vibration control of blade using variable-step-size filtered-x least mean square algorithm","authors":"Jinhua Jiang, Zhiyuan Gao, Hesheng Zhang, Xiaojin Zhu","doi":"10.1177/10775463241260110","DOIUrl":"https://doi.org/10.1177/10775463241260110","url":null,"abstract":"The engine blade is one of the important parts of the aero engine, vibration can lead to engine blade off or fracture. Active Vibration Control (AVC) has a higher flexibility is increasingly used to suppress the vibration of the blade. The filtered-x least mean square (FxLMS) algorithm is an adaptive algorithm commonly used in active vibration control, but its fixed step size has a contradiction between convergence speed and steady-state error. A new variable-step-size FxLMS (VSSFxLMS) algorithm based on hyperbolic secant function was proposed, and the sech function ensures the control signal is bounded. In the early stage, a larger step size enables the error to decrease rapidly. The step size decreases as the error decreases, and a smaller step size ensures a smaller steady-state error. Firstly, this paper summarizes three VSSFxLMS algorithms and proposes an improved algorithm; Secondly, it compares and analyses the mentioned algorithms; Then, a joint simulation platform using ADAMS and Simulink is built to verify the effectiveness of the proposed algorithms; Finally, an experimental platform was built to complete the blade vibration active control experiments using several VSSFxLMS algorithms, and the results of the experiment verify the better vibration suppression effect of the proposed algorithm.","PeriodicalId":508293,"journal":{"name":"Journal of Vibration and Control","volume":" 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141372800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-06DOI: 10.1177/10775463241256225
Yun Long, Xiaoyang Liu, Chong Yao, Enzhe Song
This paper presents a new model-free adaptive full-order sliding mode control (MAFOSMC) approach for addressing the challenge of precise control for the high-pressure common rail system (HPCRS) in marine engines. First, the mathematical model of HPCRS is modeled based on the hydrodynamics and the problem statement is presented. The model-free control structure is designed by adopting time delay control (TDC) technology, which can estimate uncertain and unknown dynamics without exact priori information about the system. Furthermore, the continuous sliding mode controller is developed to exhibit features of high accuracy, strong robustness, fast response based on full-order sliding mode control (FOSMC), and improved power reaching law. Then, a bidirectional adaptive strategy was designed to handle the unmodelled dynamics and unknown disturbances. The stability analysis of the closed-loop system is conducted using Lyapunov theory. Overall, the experimental comparisons were conducted with traditional FOSMC under three different testing scenarios, validating the efficacy and benefits of the proposed MAFOSMC approach for marine engines.
{"title":"Model-free adaptive full-order sliding mode control with time delay estimation of high-pressure common rail system","authors":"Yun Long, Xiaoyang Liu, Chong Yao, Enzhe Song","doi":"10.1177/10775463241256225","DOIUrl":"https://doi.org/10.1177/10775463241256225","url":null,"abstract":"This paper presents a new model-free adaptive full-order sliding mode control (MAFOSMC) approach for addressing the challenge of precise control for the high-pressure common rail system (HPCRS) in marine engines. First, the mathematical model of HPCRS is modeled based on the hydrodynamics and the problem statement is presented. The model-free control structure is designed by adopting time delay control (TDC) technology, which can estimate uncertain and unknown dynamics without exact priori information about the system. Furthermore, the continuous sliding mode controller is developed to exhibit features of high accuracy, strong robustness, fast response based on full-order sliding mode control (FOSMC), and improved power reaching law. Then, a bidirectional adaptive strategy was designed to handle the unmodelled dynamics and unknown disturbances. The stability analysis of the closed-loop system is conducted using Lyapunov theory. Overall, the experimental comparisons were conducted with traditional FOSMC under three different testing scenarios, validating the efficacy and benefits of the proposed MAFOSMC approach for marine engines.","PeriodicalId":508293,"journal":{"name":"Journal of Vibration and Control","volume":"33 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141379325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-06DOI: 10.1177/10775463241258269
Anxin Sun, Chengcheng Yu, Fangwei Xie, Yonghua Gao, Xiuwei Shi
Rigorous model-based design and semi-active control for hydro-pneumatic suspension (HPS) of the mining dump truck play an important role in providing superior driving characteristics such as ride comfort. In this paper, the investigation is carried out on a new control algorithm of semi-active suspension systems, namely, back propagation-active disturbance rejection control (BP-ADRC), supporting the driving characteristic ride comfort, and the technique is adopted in accordance with the co-simulation of MATLAB/Simulink and ADAMS. Besides, the model and controller used in the study including the semi-active HPS model, multi-body dynamic model, three-dimensional road model, and BP-ADRC controller are described and the vehicle response results are discussed which are obtained at the velocity of 20, 30, and 40 km/h on the time ranging from 10 s to 50 s, respectively. The results show that compared to passive HPS, both ADRC and BP-ADRC semi-active HPS are able to reduce vibration acceleration significantly, of which BP-ADRC reduces more. The maximum reduction rates of the semi-active HPS can reach 20.27% and 18.81% under random and impulsive excitation, respectively. The data illustrate that the semi-active HPS based on BP-ADRC control can significantly improve the ride comfort of the mining dump truck.
{"title":"Ride comfort improvement by back propagation-active disturbance rejection control in semi-active hydro-pneumatic suspension of mining dump truck","authors":"Anxin Sun, Chengcheng Yu, Fangwei Xie, Yonghua Gao, Xiuwei Shi","doi":"10.1177/10775463241258269","DOIUrl":"https://doi.org/10.1177/10775463241258269","url":null,"abstract":"Rigorous model-based design and semi-active control for hydro-pneumatic suspension (HPS) of the mining dump truck play an important role in providing superior driving characteristics such as ride comfort. In this paper, the investigation is carried out on a new control algorithm of semi-active suspension systems, namely, back propagation-active disturbance rejection control (BP-ADRC), supporting the driving characteristic ride comfort, and the technique is adopted in accordance with the co-simulation of MATLAB/Simulink and ADAMS. Besides, the model and controller used in the study including the semi-active HPS model, multi-body dynamic model, three-dimensional road model, and BP-ADRC controller are described and the vehicle response results are discussed which are obtained at the velocity of 20, 30, and 40 km/h on the time ranging from 10 s to 50 s, respectively. The results show that compared to passive HPS, both ADRC and BP-ADRC semi-active HPS are able to reduce vibration acceleration significantly, of which BP-ADRC reduces more. The maximum reduction rates of the semi-active HPS can reach 20.27% and 18.81% under random and impulsive excitation, respectively. The data illustrate that the semi-active HPS based on BP-ADRC control can significantly improve the ride comfort of the mining dump truck.","PeriodicalId":508293,"journal":{"name":"Journal of Vibration and Control","volume":"8 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141380463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To maintain the stable suspension of high-speed maglev vehicles, a predictive control algorithm based on neural networks is proposed. Initially, the vehicle dynamic response prediction model is built using the long short-term memory neural network considering its’ time-varying and nonlinear characteristics. This predictive model achieves precise online prediction of the electromagnetic suspension gap. Then, the prediction model is utilized to construct the predictive control algorithm. Finally, the effectiveness of this algorithm is verified by simulations and experiments. The results demonstrate that the prediction model can accurately and continuously predict the maglev vehicle’s future dynamic responses. Predictive control algorithms can predict fluctuations in the suspension gap before they occur and provide feedforward compensation. Experimental results prove that the predictive control algorithm can effectively suppress electromagnet fluctuations to achieve better stable suspension.
{"title":"Predictive control based on LSTM for suspension operation of maglev vehicle","authors":"Mengjuan Liu, Shanqiang Fu, Han Wu, Xin Liang, Weiwei Zhang, Xiaohui Zeng","doi":"10.1177/10775463241258003","DOIUrl":"https://doi.org/10.1177/10775463241258003","url":null,"abstract":"To maintain the stable suspension of high-speed maglev vehicles, a predictive control algorithm based on neural networks is proposed. Initially, the vehicle dynamic response prediction model is built using the long short-term memory neural network considering its’ time-varying and nonlinear characteristics. This predictive model achieves precise online prediction of the electromagnetic suspension gap. Then, the prediction model is utilized to construct the predictive control algorithm. Finally, the effectiveness of this algorithm is verified by simulations and experiments. The results demonstrate that the prediction model can accurately and continuously predict the maglev vehicle’s future dynamic responses. Predictive control algorithms can predict fluctuations in the suspension gap before they occur and provide feedforward compensation. Experimental results prove that the predictive control algorithm can effectively suppress electromagnet fluctuations to achieve better stable suspension.","PeriodicalId":508293,"journal":{"name":"Journal of Vibration and Control","volume":"33 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141378164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-06DOI: 10.1177/10775463241256017
Guangyu Liu, Dao Gong, Jinsong Zhou
The physical vibration of railway train car body is the superposition of various modal vibrations of the car body. In this study, a modal vibration extraction method (MVEM) based on singular value decomposition and least squares fitting is proposed to decouple the physical vibration of the car body into modal vibrations. Then, from the perspective of modal vibration energy, the calculation method of modal vibration contribution (MVC) is proposed, and the main participating modes of the car body are tracked in the process of train operation, and the resonance mechanism of articulated train car body is analyzed based on them. The results show that the end constraint forms of the head car body and the middle car body of the articulated train are different, resulting in the influence of the velocity on the yaw vibration energy of the head car body is obviously greater than that of the middle car body; due to the articulated effect between the train car bodies, the yaw motion of each car body is aggravated, which further worsens the lateral ride quality of the car body floor above the bogie; with the increase of train running speed, the dominant modes contributing to car body vibration change from rigid modes to elastic modes. The first-order vertical bending mode, first-order lateral bending mode, and diamond-shaped deformation mode contribute greatly to car body vibration, and there is no resonance between them and bogie frame. In fact, geometric filtering is the reason for the resonance of the car body. Moreover, the geometric filtering phenomenon occurs in the vehicle with symmetric structure (middle vehicle) and the vehicle with incomplete symmetric structure (head vehicle), and the geometric filtering phenomenon also exists in the vertical and lateral vibration of the vehicle.
{"title":"Research on resonance mechanism of articulated train car body based on modal vibration extraction method","authors":"Guangyu Liu, Dao Gong, Jinsong Zhou","doi":"10.1177/10775463241256017","DOIUrl":"https://doi.org/10.1177/10775463241256017","url":null,"abstract":"The physical vibration of railway train car body is the superposition of various modal vibrations of the car body. In this study, a modal vibration extraction method (MVEM) based on singular value decomposition and least squares fitting is proposed to decouple the physical vibration of the car body into modal vibrations. Then, from the perspective of modal vibration energy, the calculation method of modal vibration contribution (MVC) is proposed, and the main participating modes of the car body are tracked in the process of train operation, and the resonance mechanism of articulated train car body is analyzed based on them. The results show that the end constraint forms of the head car body and the middle car body of the articulated train are different, resulting in the influence of the velocity on the yaw vibration energy of the head car body is obviously greater than that of the middle car body; due to the articulated effect between the train car bodies, the yaw motion of each car body is aggravated, which further worsens the lateral ride quality of the car body floor above the bogie; with the increase of train running speed, the dominant modes contributing to car body vibration change from rigid modes to elastic modes. The first-order vertical bending mode, first-order lateral bending mode, and diamond-shaped deformation mode contribute greatly to car body vibration, and there is no resonance between them and bogie frame. In fact, geometric filtering is the reason for the resonance of the car body. Moreover, the geometric filtering phenomenon occurs in the vehicle with symmetric structure (middle vehicle) and the vehicle with incomplete symmetric structure (head vehicle), and the geometric filtering phenomenon also exists in the vertical and lateral vibration of the vehicle.","PeriodicalId":508293,"journal":{"name":"Journal of Vibration and Control","volume":"7 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141380586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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