The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Ronghui Zheng - One of the best experts on this subject based on the ideXlab platform.
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multiple input multiple output non stationary non gaussian random vibration control by Inverse System method
Mechanical Systems and Signal Processing, 2019Co-Authors: Ronghui Zheng, Huaihai Chen, Dirk VandepitteAbstract:Abstract This paper investigates the control method for multi-input multi-output non-stationary non-Gaussian random vibration test with the specified references composed of stationary power spectra, moving root mean square distributions and moving kurtosis distributions. The objective of random vibration test is to force the response signals of test structure to satisfy the specified references within tolerances. An Inverse System method in time domain is used to guarantee the control of response time-frequency characteristics independently and simultaneously. The evolutionary spectrum theory is utilized to establish the matrix representation of non-stationary non-Gaussian input-output relationships of a linear dynamic System in frequency domain. To analyze a non-stationary non-Gaussian vibration signal, two sets of random numbers named moving root mean square and moving kurtosis are used to modulate a stationary random signal. The transformation process theory is utilized to obtain moving root mean square and moving kurtosis by a moving root mean square distribution and a moving kurtosis distribution respectively. The control algorithms are presented to update the drive signals according to the deviations between responses and references. A numerical example by a cantilever beam and a biaxial vibration test are carried out and the results demonstrate the feasibility and validity of the proposed methods.
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multi exciter stationary non gaussian random vibration test with time domain randomization
Mechanical Systems and Signal Processing, 2019Co-Authors: Ronghui Zheng, Huaihai Chen, Dirk VandepitteAbstract:Abstract This paper presents a new control method for multi-input multi-output stationary non-Gaussian random vibration test using time domain randomization. The control objectives are composed of response skewnesses, kurtoses and power spectral densities. The generation process of stationary and coupled reference non-Gaussian signals by specified reference skewnesses, kurtoses and spectra is analyzed. The reference non-Gaussian signals combined with System frequency response functions are then utilized to obtain the desired drive signals for dynamic inputs, in which the Inverse System method in the frequency domain is employed. The primary advantages of the proposed methods are the high computational efficiency and simultaneous control of the time-frequency characteristics of response signals. In consideration of System cross coupling characteristics manifested in coherence and phase coefficients, the skewness and kurtosis tuning steps for each control channel are formulated by using a sequential phase modification method. The relationships between reference skewnesses, kurtoses and spectra are discussed and they reveal that the reference spectra have an influence on the settings of reference skewnesses and kurtoses, which implies that proper settings of reference skewnesses, kurtoses and spectra are necessary. A numerical example and a triaxial vibration test are provided and the results show the validity and feasibility of the proposed method.
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probability distributions control for multi input multi output stationary non gaussian random vibration test
Journal of Vibration and Control, 2017Co-Authors: Ronghui Zheng, Huaihai Chen, Wei ZhengAbstract:An Inverse System method for multi-input multi-output stationary non-Gaussian random vibration test is proposed in the paper to control the response characteristics both in time-domain and frequenc...
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control method for multi input multi output non gaussian random vibration test with cross spectra consideration
Chinese Journal of Aeronautics, 2017Co-Authors: Ronghui Zheng, Huaihai Chen, H E XudongAbstract:Abstract A control method for Multi-Input Multi-Output (MIMO) non-Gaussian random vibration test with cross spectra consideration is proposed in the paper. The aim of the proposed control method is to replicate the specified references composed of auto spectral densities, cross spectral densities and kurtoses on the test article in the laboratory. It is found that the cross spectral densities will bring intractable coupling problems and induce difficulty for the control of the multi-output kurtoses. Hence, a sequential phase modification method is put forward to solve the coupling problems in multi-input multi-output non-Gaussian random vibration test. To achieve the specified responses, an improved zero memory nonlinear transformation is utilized first to modify the Fourier phases of the signals with sequential phase modification method to obtain one frame reference response signals which satisfy the reference spectra and reference kurtoses. Then, an Inverse System method is used in frequency domain to obtain the continuous stationary drive signals. At the same time, the matrix power control algorithm is utilized to control the spectra and kurtoses of the response signals further. At the end of the paper, a simulation example with a cantilever beam and a vibration shaker test are implemented and the results support the proposed method very well.
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control method for multiple input multiple output non gaussian random vibration test
Packaging Technology and Science, 2017Co-Authors: Ronghui Zheng, Huaihai ChenAbstract:A control method for multi-input multi-output non-Gaussian random vibration test based on an improved zero-memory nonlinear transformation and an Inverse System method is proposed. Compared with the classic zero-memory nonlinear transformation method, the improved one can overcome the defect of the dynamic range loss. The Inverse System method is put forward in order to control the kurtoses and the spectra for multi-input multi-output non-Gaussian random vibration test simultaneously. The main idea of Inverse System method is to generate the Gaussian reference response signals first from the reference spectra, and the improved zero-memory nonlinear transformation method is utilized to obtain the non-Gaussian reference response signals with the reference kurtoses, then the continuous and stationary coupled driving signals can be derived from the relationship between the inputs and outputs of the test System. Thus, the difficulty in generation of driving signals in multi-input multi-output non-Gaussian random vibration test can be overcome. The matrix power control algorithm is introduced for the spectrum control, and a kurtosis control algorithm is set up similarly. A simulation example and an experimental test are provided in the paper, and the results illustrate the effectiveness and feasibility of the proposed control method. Copyright © 2017 John Wiley & Sons, Ltd.
Zebin Yang - One of the best experts on this subject based on the ideXlab platform.
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A Bearingless Induction Motor Direct Torque Control and Suspension Force Control Based on Sliding Mode Variable Structure
Hindawi Limited, 2017Co-Authors: Zebin Yang, Xiaodong Sun, Lin Chen, Weiming Sun, Dan ZhangAbstract:Aiming at the problems of the large torque ripple and unstable suspension performance in traditional direct torque control (DTC) for a bearingless induction motor (BIM), a new method of DTC is proposed based on sliding mode variable structure (SMVS). The sliding mode switching surface of the torque and flux linkage controller are constructed by torque error and flux error, and the exponential reaching law is used to design the SMVS direct torque controller. On the basis of the radial suspension force mathematical model of the BIM, a radial suspension force closed-loop control method is proposed by utilizing the Inverse System theory and SMVS. The simulation models of traditional DTC and the new DTC method based on SMVS of the BIM are set up in the MATLAB/Simulink toolbox. On this basis, the experiments are carried out. Simulation and experiment results showed that the stable suspension operation of the BIM can be achieved with small torque ripple and flux ripple. Besides, the dynamic response and suspension performance of the motor are improved by the proposed method
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radial position control of a magnetically suspended rotor System in a direct driven spindle using Inverse System scheme
Transactions of the Institute of Measurement and Control, 2016Co-Authors: Long Chen, Zebin YangAbstract:Direct-driven spindles have no mechanical transmission trains and gears, and are the key actuators for computerized numerical control machine tools. These magnetically suspended rotor Systems are required to provide fast response and high precision. However, these Systems are non-linear and strongly coupled. The traditional proportional, integral, derivative (PID) control method has been widely used for such Systems owing to its relative simple realization. However, the tracking, disturbance rejection and robustness properties of the controlled plant may not be satisfied. To solve these problems, this paper presents a decoupling control strategy based on an Inverse System scheme and combines it with the internal model control method to guarantee System robustness to the parameter uncertainty and external disturbance. By introducing an inversion of the magnetically suspended rotor System into the original System, a new pseudolinear System is developed. It can be shown that this addition effectively elimina...
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internal model control for a bearingless permanent magnet synchronous motor based on Inverse System method
IEEE Transactions on Energy Conversion, 2016Co-Authors: Long Chen, Zebin YangAbstract:To effectively enhance the control accuracy and dynamic performance of a bearingless permanent magnet synchronous motor (BPMSM), this paper presents a novel control scheme combining the Inverse System method and the internal model control. By cascading the Inverse model of the BPMSM with the original BPMSM System, a decoupling pseudo-linear System is constituted. Moreover, in order to improve the robustness of the whole System and reject the influence of the unmodeled dynamics and System noise to the decoupling control accuracy, the internal model control scheme is employed for the pseudo-linear System to design extra closed-loop controllers. Consequently, the proposed decoupling control scheme incorporates the advantages of both the Inverse System method and the internal model control. The effectiveness of the proposed control scheme is verified by experimental results at various operations.
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application of lssvm Inverse in a variable frequency induction motor drive System
Transactions of the Institute of Measurement and Control, 2013Co-Authors: Xiaodong Sun, Huangqiu Zhu, Zebin YangAbstract:To improve effectively the dynamic performance and control accuracy of the variable frequency induction motor drive System (VFIMDS), which is a non-linear, strong-coupled and complex System, a novel linearization control method for the speed regulation problem is proposed in this paper. The new control strategy, named the least squares support vector machine (LSSVM) Inverse, is based on the Inverse System theory and the principle of LSSVM regression. The LSSVM Inverse is composed of a LSSVM approximating the Inverse model of the VFIMDS and an integrator. Firstly, the mathematical model of the VFIMDS is given and its invertibility is proved. Secondly, the Inverse model of the VFIMDS is obtained by using the LSSVM. Thirdly, by combining the LSSVM Inverse model with the original VFIMDS, a composite pseudo-linear System can be completed. Then, a linear close-loop adjustor is design to obtain the good speed regulating performance. Finally, simulation comparisons are carried out using the proposed method and th...
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manufacturing method of radial fuzzy neural network generalized Inverse controller of bearingless asynchronous motor
2012Co-Authors: Xiaodong Sun, Haobin Jiang, Long Chen, Zebin Yang, Ke LiAbstract:The invention discloses a manufacturing method of a fuzzy neural network generalized Inverse controller on a radial position of a bearingless asynchronous motor, and the manufacturing method comprises the following steps that a fuzzy neural network with six input nodes and two output nodes and four linear links are used for forming a fuzzy neural network generalized Inverse with two input nodes and two output nodes, each parameter and each weight coefficient of the fuzzy neural network are adjusted to make the fuzzy neural network generalized Inverse realize a generalized Inverse System function of a composite controlled target; the fuzzy neural network generalized Inverse is serially connected in front of the composite controlled target to form a generalized pseudo-linear System; and the fuzzy neural network generalized Inverse is serially connected in front of the composite controlled target, the fuzzy neural network generalized Inverse, a Park inverter, a Clark inverter and a current tracking-type inverter collectively form the controller to realize the open-loop linear control of the nonlinear System on the radial position of the bearingless asynchronous motor, and the stable suspension running of the bearingless asynchronous motor can be guaranteed without designing a complicated closed-loop controller.
Huaihai Chen - One of the best experts on this subject based on the ideXlab platform.
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multiple input multiple output non stationary non gaussian random vibration control by Inverse System method
Mechanical Systems and Signal Processing, 2019Co-Authors: Ronghui Zheng, Huaihai Chen, Dirk VandepitteAbstract:Abstract This paper investigates the control method for multi-input multi-output non-stationary non-Gaussian random vibration test with the specified references composed of stationary power spectra, moving root mean square distributions and moving kurtosis distributions. The objective of random vibration test is to force the response signals of test structure to satisfy the specified references within tolerances. An Inverse System method in time domain is used to guarantee the control of response time-frequency characteristics independently and simultaneously. The evolutionary spectrum theory is utilized to establish the matrix representation of non-stationary non-Gaussian input-output relationships of a linear dynamic System in frequency domain. To analyze a non-stationary non-Gaussian vibration signal, two sets of random numbers named moving root mean square and moving kurtosis are used to modulate a stationary random signal. The transformation process theory is utilized to obtain moving root mean square and moving kurtosis by a moving root mean square distribution and a moving kurtosis distribution respectively. The control algorithms are presented to update the drive signals according to the deviations between responses and references. A numerical example by a cantilever beam and a biaxial vibration test are carried out and the results demonstrate the feasibility and validity of the proposed methods.
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multi exciter stationary non gaussian random vibration test with time domain randomization
Mechanical Systems and Signal Processing, 2019Co-Authors: Ronghui Zheng, Huaihai Chen, Dirk VandepitteAbstract:Abstract This paper presents a new control method for multi-input multi-output stationary non-Gaussian random vibration test using time domain randomization. The control objectives are composed of response skewnesses, kurtoses and power spectral densities. The generation process of stationary and coupled reference non-Gaussian signals by specified reference skewnesses, kurtoses and spectra is analyzed. The reference non-Gaussian signals combined with System frequency response functions are then utilized to obtain the desired drive signals for dynamic inputs, in which the Inverse System method in the frequency domain is employed. The primary advantages of the proposed methods are the high computational efficiency and simultaneous control of the time-frequency characteristics of response signals. In consideration of System cross coupling characteristics manifested in coherence and phase coefficients, the skewness and kurtosis tuning steps for each control channel are formulated by using a sequential phase modification method. The relationships between reference skewnesses, kurtoses and spectra are discussed and they reveal that the reference spectra have an influence on the settings of reference skewnesses and kurtoses, which implies that proper settings of reference skewnesses, kurtoses and spectra are necessary. A numerical example and a triaxial vibration test are provided and the results show the validity and feasibility of the proposed method.
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probability distributions control for multi input multi output stationary non gaussian random vibration test
Journal of Vibration and Control, 2017Co-Authors: Ronghui Zheng, Huaihai Chen, Wei ZhengAbstract:An Inverse System method for multi-input multi-output stationary non-Gaussian random vibration test is proposed in the paper to control the response characteristics both in time-domain and frequenc...
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control method for multi input multi output non gaussian random vibration test with cross spectra consideration
Chinese Journal of Aeronautics, 2017Co-Authors: Ronghui Zheng, Huaihai Chen, H E XudongAbstract:Abstract A control method for Multi-Input Multi-Output (MIMO) non-Gaussian random vibration test with cross spectra consideration is proposed in the paper. The aim of the proposed control method is to replicate the specified references composed of auto spectral densities, cross spectral densities and kurtoses on the test article in the laboratory. It is found that the cross spectral densities will bring intractable coupling problems and induce difficulty for the control of the multi-output kurtoses. Hence, a sequential phase modification method is put forward to solve the coupling problems in multi-input multi-output non-Gaussian random vibration test. To achieve the specified responses, an improved zero memory nonlinear transformation is utilized first to modify the Fourier phases of the signals with sequential phase modification method to obtain one frame reference response signals which satisfy the reference spectra and reference kurtoses. Then, an Inverse System method is used in frequency domain to obtain the continuous stationary drive signals. At the same time, the matrix power control algorithm is utilized to control the spectra and kurtoses of the response signals further. At the end of the paper, a simulation example with a cantilever beam and a vibration shaker test are implemented and the results support the proposed method very well.
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control method for multiple input multiple output non gaussian random vibration test
Packaging Technology and Science, 2017Co-Authors: Ronghui Zheng, Huaihai ChenAbstract:A control method for multi-input multi-output non-Gaussian random vibration test based on an improved zero-memory nonlinear transformation and an Inverse System method is proposed. Compared with the classic zero-memory nonlinear transformation method, the improved one can overcome the defect of the dynamic range loss. The Inverse System method is put forward in order to control the kurtoses and the spectra for multi-input multi-output non-Gaussian random vibration test simultaneously. The main idea of Inverse System method is to generate the Gaussian reference response signals first from the reference spectra, and the improved zero-memory nonlinear transformation method is utilized to obtain the non-Gaussian reference response signals with the reference kurtoses, then the continuous and stationary coupled driving signals can be derived from the relationship between the inputs and outputs of the test System. Thus, the difficulty in generation of driving signals in multi-input multi-output non-Gaussian random vibration test can be overcome. The matrix power control algorithm is introduced for the spectrum control, and a kurtosis control algorithm is set up similarly. A simulation example and an experimental test are provided in the paper, and the results illustrate the effectiveness and feasibility of the proposed control method. Copyright © 2017 John Wiley & Sons, Ltd.
Jian-cheng Fang - One of the best experts on this subject based on the ideXlab platform.
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decoupling control of magnetically suspended rotor System in control moment gyros based on an Inverse System method
IEEE-ASME Transactions on Mechatronics, 2012Co-Authors: Jian-cheng FangAbstract:To radically eliminate the influence of gyroscopic effects on System stability and to improve the performances of high-precision, fast-response for the high-speed magnetically suspended rotor System in a control moment gyro, this paper proposes a control strategy that combines Inverse System method and internal model control. The stability and robustness problems induced by current-mode linearization have been successfully solved by introducing phase-lead compensation and internal model controller. The effectiveness and superiority of the proposed strategy have been demonstrated by both simulation and experimental results.
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high precision control for a single gimbal magnetically suspended control moment gyro based on Inverse System method
IEEE Transactions on Industrial Electronics, 2011Co-Authors: Jian-cheng Fang, Yuan RenAbstract:To effectively reject the influence of gyroscopic effects and gimbal movement on System stability and precision for a single-gimbal magnetically suspended control moment gyro (SGMSCMG), this paper proposes a new control strategy combining an Inverse System method and internal model control. The SGMSCMG is modeled using both analytic relationships and experimental data, and its inversion is implemented in a current-mode approach. The common problems associated with the current-mode linearization are successfully handled via compensation filters and internal model controllers. The effectiveness and superiority of this proposed strategy have been demonstrated by both simulation and experimental results.
Dirk Vandepitte - One of the best experts on this subject based on the ideXlab platform.
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multiple input multiple output non stationary non gaussian random vibration control by Inverse System method
Mechanical Systems and Signal Processing, 2019Co-Authors: Ronghui Zheng, Huaihai Chen, Dirk VandepitteAbstract:Abstract This paper investigates the control method for multi-input multi-output non-stationary non-Gaussian random vibration test with the specified references composed of stationary power spectra, moving root mean square distributions and moving kurtosis distributions. The objective of random vibration test is to force the response signals of test structure to satisfy the specified references within tolerances. An Inverse System method in time domain is used to guarantee the control of response time-frequency characteristics independently and simultaneously. The evolutionary spectrum theory is utilized to establish the matrix representation of non-stationary non-Gaussian input-output relationships of a linear dynamic System in frequency domain. To analyze a non-stationary non-Gaussian vibration signal, two sets of random numbers named moving root mean square and moving kurtosis are used to modulate a stationary random signal. The transformation process theory is utilized to obtain moving root mean square and moving kurtosis by a moving root mean square distribution and a moving kurtosis distribution respectively. The control algorithms are presented to update the drive signals according to the deviations between responses and references. A numerical example by a cantilever beam and a biaxial vibration test are carried out and the results demonstrate the feasibility and validity of the proposed methods.
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multi exciter stationary non gaussian random vibration test with time domain randomization
Mechanical Systems and Signal Processing, 2019Co-Authors: Ronghui Zheng, Huaihai Chen, Dirk VandepitteAbstract:Abstract This paper presents a new control method for multi-input multi-output stationary non-Gaussian random vibration test using time domain randomization. The control objectives are composed of response skewnesses, kurtoses and power spectral densities. The generation process of stationary and coupled reference non-Gaussian signals by specified reference skewnesses, kurtoses and spectra is analyzed. The reference non-Gaussian signals combined with System frequency response functions are then utilized to obtain the desired drive signals for dynamic inputs, in which the Inverse System method in the frequency domain is employed. The primary advantages of the proposed methods are the high computational efficiency and simultaneous control of the time-frequency characteristics of response signals. In consideration of System cross coupling characteristics manifested in coherence and phase coefficients, the skewness and kurtosis tuning steps for each control channel are formulated by using a sequential phase modification method. The relationships between reference skewnesses, kurtoses and spectra are discussed and they reveal that the reference spectra have an influence on the settings of reference skewnesses and kurtoses, which implies that proper settings of reference skewnesses, kurtoses and spectra are necessary. A numerical example and a triaxial vibration test are provided and the results show the validity and feasibility of the proposed method.
