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
2013 ◽  
Vol 37 (3) ◽  
pp. 522-530 ◽  
Author(s):  
Yung-Tien Liu ◽  
Tien-Tsai Kung ◽  
Kuo-Ming Chang ◽  
Sheng-Yuan Chen

2014 ◽  
Vol 556-562 ◽  
pp. 2466-2469
Author(s):  
Yue Fei Wu ◽  
Da Wei Ma ◽  
Gui Gao Le

A novel adaptive sliding mode control is proposed to guarantee high precision and robustness of servo system of rocket launcher. An improved PID switching function is designed to smooth control input, meanwhile Chebyshev neural network is adopted to identify the system’s Jacobian information, and parameters of controller can be acquired by self-tuning law which can be derived by Lyapunov theory. Simulation results show the control input is chattering-free, and both load disturbance and parameter perturbation can be compensated.


2013 ◽  
Vol 748 ◽  
pp. 731-734
Author(s):  
Ying Zhang ◽  
Peng Li ◽  
Ya Jun Guo

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.


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