Observer-based adaptive sliding mode control for pneumatic servo system

2013 ◽  
Vol 37 (3) ◽  
pp. 522-530 ◽  
Author(s):  
Yung-Tien Liu ◽  
Tien-Tsai Kung ◽  
Kuo-Ming Chang ◽  
Sheng-Yuan Chen
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Servo System ◽  
Adaptive Sliding Mode Control ◽  
Adaptive Sliding Mode ◽  
Mode Control ◽  
Pneumatic 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

Adaptive Sliding Mode Control of Servo System

2014 ◽  
Vol 556-562 ◽  
pp. 2466-2469
Author(s):  
Yue Fei Wu ◽  
Da Wei Ma ◽  
Gui Gao Le
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Servo System ◽  
Lyapunov Theory ◽  
Adaptive Sliding Mode Control ◽  
Switching Function ◽  
Control Input ◽  
Adaptive Sliding Mode ◽  
Mode Control ◽  
Chebyshev Neural Network

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.

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