Research on Speed Observer of PMSM Servo System

2011 ◽  
Vol 317-319 ◽  
pp. 1223-1227
Author(s):  
Rui Ning Huang ◽  
Cheng Song ◽  
Xiao Hui Liu ◽  
Yun Jiang Lou
Keyword(s):  
Kalman Filter ◽  
Control System ◽  
Servo System ◽  
Detection Accuracy ◽  
Optical Encoder ◽  
Average Speed ◽  
Speed Range ◽  
Simulation Results ◽  
Instantaneous Speed ◽  
Speed Simulation

The incremental optical encoder is widely used in PMSM servo system for speed detection. However, this method is detected the average speed, which will cause delay time, and make the speed control system unstable at low speed range. A speed observer was designed in this paper, which is combining state observer and Kalman filter to estimate instantaneous speed. Simulation results show that this method can improve the speed detection accuracy of the PMSM servo system.

Observer Based Speed Control of PMSM Servo Systems

2011 ◽  
Vol 121-126 ◽  
pp. 3376-3380
Author(s):  
R.N. Huang ◽  
Cheng Song ◽  
Yun Jiang Lou
Keyword(s):  
Kalman Filter ◽  
State Observer ◽  
Detection Accuracy ◽  
Electromagnetic Torque ◽  
Load Torque ◽  
Servo Systems ◽  
Position Information ◽  
Simulation Results ◽  
Instantaneous Speed ◽  
Order State

A speed observer which is consisted of the full order state observer and Kalman filter was designed to estimate instantaneous speed in this paper. It utilized full order state observer to obtain load torque and position information, and combining with electromagnetic torque as the input of Kalman filter. Simulation results show that this method can improve the speed detection accuracy of the PMSM servo system.

Research of ADRC in Application to the Servo System of Self-Propelled Gun

2015 ◽  
Vol 713-715 ◽  
pp. 730-733 ◽  
Author(s):  
Peng Lei ◽  
Xue Bing Liao ◽  
Lin Hao Huang ◽  
Chang Hong Gong
Keyword(s):  
Control System ◽  
Permanent Magnet ◽  
Disturbance Rejection ◽  
Permanent Magnet Synchronous Motor ◽  
Servo System ◽  
Servo Control ◽  
Control Technique ◽  
Servo Control System ◽  
Disturbance Rejection Control ◽  
Simulation Results

Aiming at the problems of disturbance, coupling and fluctuation of load existing in permanent magnet synchronous motor (PMSM),which is used in the servo system of self-propelled gun, the auto disturbance rejection control technique (ADRC) is introduced into in the servo system of self-propelled gun. It can play with the best effect of the servo control system. The simulation results show that ADRC makes the servo system of self-propelled gun has better accuracy and robust.

Research of Electro-Hydraulic Position Servo System Based on PID with Disturbance Observer

2016 ◽  
Vol 693 ◽  
pp. 1752-1757
Author(s):  
Zhao Hua Liu ◽  
San Peng Deng ◽  
Yong Xiang Jiang
Keyword(s):  
Control System ◽  
Pid Controller ◽  
Disturbance Observer ◽  
Servo System ◽  
Hydraulic Cylinder ◽  
Quick Response ◽  
Matlab Simulink ◽  
Performance Requirements ◽  
Simulation Results ◽  
Position Servo

According to the characteristics of the electro-hydraulic position servo system of asymmetric hydraulic cylinder controlled by symmetric valve and its performance requirements, the PID controller based on disturbance observer is introduced. The improved controller can observe the equivalent disturbances and introduce the equivalent compensation to the control system, so it can achieve suppression of disturbance. In the MATLAB Simulink environment, the simulation results show that the controller has the very good quick response, the stronger robustness and the higher tracking precision.

Robust Two-degree-of-freedom Control Based on H∞ Method for PMSM Drive System

2020 ◽  
Vol 13 (4) ◽  
pp. 496-506
Author(s):  
Qixin Zhu ◽  
Lei Xiong ◽  
Hongli Liu ◽  
Yonghong Zhu ◽  
Guoping Zhang
Keyword(s):  
Control System ◽  
Control Theory ◽  
Position Control ◽  
Dynamic Performance ◽  
Servo System ◽  
Degree Of Freedom ◽  
Trade Off ◽  
Standard Design ◽  
Position Controller ◽  
Two Degree Of Freedom

Background: The conventional method using one-degree-of-freedom (1DOF) controller for Permanent Magnet Synchronous Motor (PMSM) servo system has the trade-off problem between the dynamic performance and the robustness. Methods: In this paper, by using H∞ control theory, a novel robust two-degree-of-freedom (2DOF) controller has been proposed to improve the position control performance of PMSM servo system. Using robust control theory and 2DOF control theory, a H∞ robust position controller has been designed and discussed in detail. Results: The trade-off problem between the dynamic performance and robustness which exists in one-degree-of-freedom (1DOF) control can be dealt with by the application of 2DOF control theory. Then, through H∞ control theory, the design of robust position controller can be translated to H∞ robust standard design problem. Moreover, the control system with robust controller has been proved to be stable. Conclusion: Further simulation results demonstrate that compared with the conventional PID control, the designed control system has better robustness and attenuation to the disturbance of load impact.

A Strong Tracking Cubature Kalman Filter for Nonlinear Estimation

2013 ◽  
Vol 313-314 ◽  
pp. 1115-1119
Author(s):  
Yong Qi Wang ◽  
Feng Yang ◽  
Yan Liang ◽  
Quan Pan
Keyword(s):  
Kalman Filter ◽  
State Estimation ◽  
Scaling Factor ◽  
Estimation Accuracy ◽  
Nonlinear State Estimation ◽  
Cubature Kalman Filter ◽  
Novel Method ◽  
Simulation Results ◽  
Tracking Filter ◽  
Nonlinear State

In this paper, a novel method based on cubature Kalman filter (CKF) and strong tracking filter (STF) has been proposed for nonlinear state estimation problem. The proposed method is named as strong tracking cubature Kalman filter (STCKF). In the STCKF, a scaling factor derived from STF is added and it can be tuned online to adjust the filtering gain accordingly. Simulation results indicate STCKF outperforms over EKF and CKF in state estimation accuracy.

Multi-layer controller with state-constraint: Vehicle lateral stability control based on fuzzy logic

2021 ◽  
pp. 095440702110142
Author(s):  
Neng Wan ◽  
Guangping Zeng ◽  
Chunguang Zhang ◽  
Dingqi Pan ◽  
Songtao Cai
Keyword(s):  
Control System ◽  
Integrated Control ◽  
State Constraint ◽  
Stability Control ◽  
Lateral Stability ◽  
System A ◽  
Velocity Reduction ◽  
Vehicle Velocity ◽  
Allowable Range ◽  
Simulation Results

This paper deals with a new state-constrained control (SCC) system of vehicle, which includes a multi-layer controller, in order to ensure the vehicle’s lateral stability and steering performance under complex environment. In this system, a new constraint control strategy with input and state constraints is applied to calculate the steady-state yaw moment. It ensures the vehicle lateral stability by tracking the desired yaw rate value and limiting the allowable range of the side slip. Through the linkage of the three-layer controller, the tire load is optimized and achieve minimal vehicle velocity reduction. The seven-degree-of-freedom (7-DOF) simulation model was established and simulated in MATLAB to evaluate the effect of the proposed controller. Through the analysis of the simulation results, compared with the traditional ESC and integrated control, it not only solves the problem of obvious velocity reduction, but also solves the problem of high cost and high hardware requirements in integrated control. The simulation results show that designed control system has better performance of path tracking and driving state, which is closer to the desired value. Through hardware-in-the-loop (HIL) practical experiments in two typical driving conditions, the effectiveness of the above proposed control system is further verified, which can improve the lateral stability and maneuverability of the vehicle.

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