Application of Sliding Mode Cascade Controller in AC Servo System

2013 ◽  
Vol 748 ◽  
pp. 731-734
Author(s):  
Ying Zhang ◽  
Peng Li ◽  
Ya Jun Guo
Keyword(s):  
Sliding Mode Control ◽  
High Speed ◽  
Sliding Mode ◽  
Servo System ◽  
System Response ◽  
System Control ◽  
Tracking Accuracy ◽  
Ac Servo System ◽  
Mode Control ◽  
Ac Servo

According to the requirement of high precision and high speed in an AC servo system, based on sliding mode control theory, a cascade control is put forward. Sliding mode controller of the speed loop is applied to reduce the system steady state error and increases system response speed, and the sliding mode control of the position loop is applied to improve the system dynamic tracking accuracy and system robustness. According to the simplified mathematical model of the position loop and speed loop, system control law is derived. Experiment results show that the proposed sliding mode cascade controller can guarantee the dynamic performance of the servo system.

Adaptive sliding mode control for AC servo system based on Kalman filter

2014 ◽  
Vol 22 (8) ◽  
pp. 2088-2095 ◽  
Author(s):  
邓永停 DENG Yong-ting ◽  
李洪文 LI Hong-wen ◽  
王建立 WANG Jian-li ◽  
贾建禄 JIA Jian-lu
Keyword(s):  
Kalman Filter ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
Servo System ◽  
Adaptive Sliding Mode Control ◽  
Ac Servo System ◽  
Adaptive Sliding Mode ◽  
Mode Control ◽  
Ac Servo

PMSM Servo System Control Based on Disturbance Observer

2010 ◽  
Vol 44-47 ◽  
pp. 1090-1094
Author(s):  
Hua Wei Chai ◽  
Jin Yu Zhou ◽  
Wei Ping Zhang ◽  
Zhi Gang Li
Keyword(s):  
Disturbance Observer ◽  
High Speed ◽  
Closed Loop ◽  
Servo System ◽  
System Control ◽  
Strong Impact ◽  
Closed Loop System ◽  
Ac Servo System ◽  
Ac Servo ◽  
Speed Tracking

In order to realize high speed control of some ac servo system, aimed at all kinds of uncertain factors such as greatly changing moment and torque, and strong impact torque. Therefore, for gaining good speed tracking characteristics, adaptive disturbance observer is adopted to observe load torque disturbance and speed variation. Stability of closed loop system is guaranteed by design of control tractics to satisfy track control requests of rocket launcher servo system. Simulation results indicate that this method can ideally observe disturbance and reduce output of controller, thus control performance of the system is improved and is greatly meaningful.

Adaptive Nonlinear Sliding Mode Control of Mechanical Servo System With LuGre Friction Compensation

2015 ◽  
Vol 138 (2) ◽  
Author(s):  
Qiang Chen ◽  
Liang Tao ◽  
Yurong Nan ◽  
Xuemei Ren
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Control Process ◽  
Servo System ◽  
Parameter Estimate ◽  
Tracking Accuracy ◽  
Mode Control ◽  
Identification Technique ◽  
Lugre Friction ◽  
Nonlinear Sliding Mode Control

In this paper, the parameter identification and control problem are investigated for a mechanical servo system with LuGre friction. First of all, an intelligent glowworm swarm optimization (GSO) algorithm is developed to identify the friction parameters. Then, by using a finite-time parameter estimate law and nonlinear sliding mode technique, an adaptive nonlinear sliding mode control (NSMC) based on GSO is designed to speed up the parameter convergence and to decrease the overshoot and steady-state time in control process. Finally, comparative simulations are given to show that the proposed parameters identification technique and adaptive NSMC law are both effective with respect to fast convergence speed and high tracking accuracy.

scholarly journals Research on predictive sliding mode control strategy for horizontal vibration of ultra-high-speed elevator car system based on adaptive fuzzy

2021 ◽  
Vol 54 (3-4) ◽  
pp. 360-373
Author(s):  
Hong Wang ◽  
Mingqin Zhang ◽  
Ruijun Zhang ◽  
Lixin Liu
Keyword(s):  
Sliding Mode Control ◽  
High Speed ◽  
Sliding Mode ◽  
Mode Switching ◽  
Parameter Uncertainties ◽  
Horizontal Vibration ◽  
Adaptive Fuzzy ◽  
Mode Control ◽  
System A ◽  
Ultra High Speed

In order to effectively suppress horizontal vibration of the ultra-high-speed elevator car system. Firstly, considering the nonlinearity of guide shoe, parameter uncertainties, and uncertain external disturbances of the elevator car system, a more practical active control model for horizontal vibration of the 4-DOF ultra-high-speed elevator car system is constructed and the rationality of the established model is verified by real elevator experiment. Secondly, a predictive sliding mode controller based on adaptive fuzzy (PSMC-AF) is proposed to reduce the horizontal vibration of the car system, the predictive sliding mode control law is achieved by optimizing the predictive sliding mode performance index. Simultaneously, in order to decrease the influence of uncertainty of the car system, a fuzzy logic system (FLS) is designed to approximate the compound uncertain disturbance term (CUDT) on-line. Furthermore, the continuous smooth hyperbolic tangent function (HTF) is introduced into the sliding mode switching term to compensate the fuzzy approximation error. The adaptive laws are designed to estimate the error gain and slope parameter, so as to increase the robustness of the system. Finally, numerical simulations are conducted on some representative guide rail excitations and the results are compared to the existing solution and passive system. The analysis has confirmed the effectiveness and robustness of the proposed control method.

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