Study on Vibration Controller Based on Adaptive Inverse Method

2013 ◽  
Vol 765-767 ◽  
pp. 1979-1983
Author(s):  
Hao Li ◽  
Long Lei Dong ◽  
Wen Zhe Zhao
Keyword(s):  
Control System ◽  
Vibration Control ◽  
Digital Signal Processor ◽  
Control Method ◽  
Least Mean Square ◽  
Layer System ◽  
Software Environment ◽  
Hardware Platform ◽  
Adaptive Inverse Control ◽  
Inverse Control

In this paper, study of adaptive inverse controller based on nonlinear multi-degree-of-freedom (NLMDF) algorithm has been carried out. A vibration control system with TMS320F2812 as the hardware platform has been developed, which can realize waveform reproduction and spectrum control. An improved least mean square algorithm-NLMDF has been introduced to design the filter parameters in the adaptive inverse control and simulations have been carried out in Matlab software environment. Accordance with the requirements of the adaptive inverse control method, hardware platform of the vibration control system based on dual-Digital Signal Processor (DSP) architecture, has been designed; through abstraction of the driver layer, system layer and application layer of the vibration control system , software platform has been developed. The experiment results show that functionality and performance indicators of the system have reached the design requirements.

scholarly journals Permanent Magnet Synchronous Motor Speed Control System Based on Adaptive Inverse Control Method

2019 ◽  
Vol 37 (4) ◽  
pp. 824-829
Author(s):  
Zhe Chen ◽  
Zhao Xue ◽  
Haiyi Fang ◽  
Guangzhao Luo
Keyword(s):  
Control System ◽  
Permanent Magnet ◽  
Control Method ◽  
External Disturbance ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Least Mean Square ◽  
Motor Speed ◽  
Adaptive Inverse Control ◽  
Inverse Control

The classical feedback control method for the permanent-magnet synchronous motor cannot fulfill the dynamic requirement and anti-interference requirement at the same time. In this paper, an adaptive inverse control method with disturbance elimination is proposed based on the vector control including speed and current loops. It avoids the system instability and the anti-disturbance performance of the system can be enhanced as well. Firstly, the speed loop adopts the adaptive inverse controller possessing a feed forward control structure, and a normalized least-mean square filtering algorithm accelerates the speed error convergence. The inverse model of the approximately linearized system is obtained by modifying the weighting factor online. Secondly, in order to suppress and eliminate the influence of motor parameter perturbation and external disturbance on the control system, an extended state observer is designed to observe and compensate the disturbance of the system. Thus, the dynamic performance and anti-disturbance performance of the system can be improved simultaneously. Finally, the effectiveness of the proposed method is verified by experiment and simulation.

The Use of Adaptive Inverse Control in Cascade STATCOM Modulated by PAM+PWM

2013 ◽  
Vol 448-453 ◽  
pp. 2175-2179
Author(s):  
Luan He ◽  
Xin Wang ◽  
Li Dan Zhou ◽  
Yi Hui Zheng ◽  
Li Xue Li ◽  
...  
Keyword(s):  
Control System ◽  
Control Method ◽  
Mathematic Model ◽  
Time Varying ◽  
Adaptive Inverse Control ◽  
Inverse Control ◽  
Switching Losses ◽  
Harmonic Elimination ◽  
Harmonic Ratio

In order to lower the switching losses and harmonic ratio, improve the precision of the STATCOM in the same time, the adaptive inverse control based on PAM+PWM method is proposed in this paper. The combination of PAM+PWM method is presented to enable the system to achieve the quality of low switching losses and good harmonic elimination effect. Furthermore, considering the nonlinear and time-varying characteristics which are caused by the introduction of the PAM and PWM method, an adaptive inverse control method is designed to adjust the parameters of the nonlinear mathematic model constantly to improve the precision of the control system. The results of simulation show the correctness of the proposed method.

scholarly journals Adaptive Inverse Control Based on Kriging Algorithm and Lyapunov Theory of Crawler Electromechanical System

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-12
Author(s):  
Guanyu Zhang ◽  
Yitian Wang ◽  
Yiyao Fan ◽  
Chen Chen
Keyword(s):  
Electromechanical Coupling ◽  
Control Method ◽  
Coupling Model ◽  
Virtual Prototype ◽  
Lyapunov Theory ◽  
Electromechanical System ◽  
Prototype Model ◽  
Control Effect ◽  
Adaptive Inverse Control ◽  
Inverse Control

The electromechanical system of a crawler is a multi-input, multioutput strongly coupled nonlinear system. In this study, an adaptive inverse control method based on kriging algorithm and Lyapunov theory is proposed to improve control accuracy during adaptive driving. The electromechanical coupling model of the electromechanical system is established on the basis of the dynamic analysis of the crawler. In accordance with the kriging algorithm, the inverse model of the electromechanical system of the crawler is established by offline data. The adaptive travel control law of the crawler is obtained on the basis of Lyapunov theory. Combined with the kriging algorithm, the adaptive driving reverse control method is designed, and the online system is used to update and perfect the inverse system model in real time. Finally, the virtual prototype model of the crawler is established, and the control effect of the adaptive inverse control method is verified by theoretical analysis and virtual prototype simulation.

Active Vibration Control Based on Self-Sensing for Unknown Target Structures by Direct Velocity Feedback With Adaptive Feed-Forward Cancellation

2013 ◽  
Author(s):  
Shota Yabui ◽  
Itsuro Kajiwara ◽  
Ryohei Okita
Keyword(s):  
Control System ◽  
Vibration Control ◽  
Control Method ◽  
Active Vibration Control ◽  
Mechanical Resonance ◽  
Velocity Feedback ◽  
Feed Forward ◽  
Periodic Disturbance ◽  
Active Vibration ◽  
The Voice

This paper presents active vibration control based on self-sensing for unknown target structures by direct velocity feedback (DVFB) with enhanced adaptive feed-forward cancellation (AFC). AFC is known as an adaptive control method, and the adaptive algorithm can estimate a periodic disturbance. In a previous study, an enhanced AFC was developed to compensate for a non-periodic disturbance. An active vibration control based on self-sensing by DVFB can suppress mechanical resonance by using relative velocity between the voice coil actuator and a target structure. In this study, the enhanced AFC was applied to compensate disturbance for the self-sensing vibration control system. The simulation results showed the vibration control system with DVFB and enhanced AFC could suppress mechanical resonance and compensate disturbances.

Adaptive Inverse Fuzzy Decoupling Control of Bearingless Asynchronous Motor

2014 ◽  
Vol 703 ◽  
pp. 327-330
Author(s):  
Jian Dong Sun ◽  
Yu Xin Sun ◽  
Huang Qiu Zhu ◽  
Xian Xing Liu
Keyword(s):  
Control Method ◽  
Asynchronous Motor ◽  
Poor Performance ◽  
Decoupling Control ◽  
Matlab Simulation ◽  
Adaptive Inverse Control ◽  
Inverse Control ◽  
Highly Nonlinear ◽  
Static Performance ◽  
Control Of Linear Systems

The traditional control has good performance in the control of linear systems while has poor performance in the control of nonlinear systems. The bearingless asynchronous motor is a multivariable nonlinear system with high coupling. In this paper, the method of adaptive inverse control is proposed for these reasons. Firstly, the mathematical model of the bearingless asynchronous motor is built, and the possibility of the existence of the bearingless asynchronous motor system inverse model is explored. Secondly, since the object to be controlled is highly nonlinear and has high variability. In this paper, adaptive inverse fuzzy decoupling control is used to make up the deficiency of traditional adaptive inverse control. Finally, the Matlab simulation model is established. The simulation results show that the control method has good dynamic and static performance.

scholarly journals Overlapping Decentralized Control Strategies of Building Structures’ Vibration with Time Delay Based on H∞ Control Algorithms under Seismic Excitation

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xiaofang Kang ◽  
Jian Wu ◽  
Yewei Zhang ◽  
Guoliang Liu ◽  
Suhui Zhang ◽  
...  
Keyword(s):  
Control System ◽  
Time Delay ◽  
Vibration Control ◽  
Decentralized Control ◽  
Control Strategy ◽  
Control Algorithm ◽  
Control Method ◽  
Control Strategies ◽  
Linear Matrix ◽  
Feedback Gain

A decentralized control strategy can effectively solve the control problem of the large-scale time delayed structures. In this paper, combining the overlapping decentralized control method, linear matrix inequality (LMI) method, and H∞ control algorithm, overlapping decentralized H∞ control approach of the time delayed structures has been established. The feedback gain matrixes of all subsystems are obtained by this method based on genetic algorithm optimization tools and the specific goal of optimization control. The whole vibration control system of the time delayed structures is divided into a series of overlapping subsystems by overlapping decentralized control strategy. The feedback gain matrixes of each subsystem can be obtained by using H∞ control algorithm to calculate each subsystem. The vibration control of a twenty layers’ antiseismic steel structure Benchmark model was analyzed with the numerical method. The results show that the proposed method can be applied to control system with time delay. The overlapping decentralized control strategies acquire the similar control effects with that of the centralized control strategy. Moreover, the flexibility of the controller design has been enhanced by using overlapping decentralized control strategies.

Vibration Control of the Piping System: A Method Using Feedback-Error-Learning

1995 ◽  
Author(s):  
Yoshihiro Takita
Keyword(s):  
Neural Network ◽  
Control System ◽  
Vibration Control ◽  
Control Method ◽  
Piping System ◽  
Processing Unit ◽  
Feedback Error Learning ◽  
Feedback Error ◽  
Error Learning ◽  
Lq Control

Abstract This paper presents a vibration control method for piping systems using a feedback control system constructed with LQ-control and a neural network featuring feedback-error learning. The piping system is normally flexible, therefore, natural frequencies of the system fluctuate variably when the density of the content. This paper shows that the piping system changes dynamics according to increases or decreases of the mass effects. In order to reduce the first vibration mode of the piping system without spillover instability, the control system is designed using LQ-control with feedback-error-learning applied to an adapted nonlinear feedback controller. The effectiveness of this control method is confirmed by the neural network simulation program named NeuroLab and is experimented using data measured by the control system constructed with the digital signal processing unit.

Sign in / Sign up

Export Citation Format

Share Document