Adaptive Robust Sliding Mode Control of Servo Turntable Based on Elastoplastic Friction Model

Author(s):  
Wu Xu ◽  
Zhang Qian ◽  
Wang Qunjing ◽  
Cui Ninghao
2017 ◽  
Vol 25 (10) ◽  
pp. 2620-2626
Author(s):  
郭鹏飞 GUO Peng-fei ◽  
邓永停 DENG Yong-ting ◽  
王 帅 WANG Shuai

2009 ◽  
Vol 147-149 ◽  
pp. 264-271
Author(s):  
Shiuh Jer Huang ◽  
Chun Ming Chiu ◽  
M.C. Huang

Piezoelectric friction actuating mechanism is chosen to construct long traveling range sub-micro X-Y positioning table. LuGre friction model is employed to simulate the friction dynamics of this positioning mechanism. The optimization scheme of Matlab toolbox is adopted to search the optimal friction model parameters. However, this piezoelectric actuating system has obvious nonlinear and time-varying dead-zone offset control voltage due to the static friction and preload. The estimated LuGre dynamic model is still not accurate enough for model-based precision control design. Hence, the adaptive sliding mode control (SMC) with robust behavior is employed to design the nonlinear controller for this piezoelectric friction actuating mechanism. The Laypunov-like design strategy is adopted to achieve the system stability criterion. The dynamic experimental results of the proposed nonlinear controllers are compared with that of a model-based PID controller, too.


2012 ◽  
Vol 229-231 ◽  
pp. 2385-2388 ◽  
Author(s):  
N.A. Rafan ◽  
Z. Jamaludin ◽  
T. Tjahjowidodo ◽  
L.S. Chey ◽  
T.H. Chiew

Friction is an undesired nonlinear phenomenon that reduces position and tracking accuracy in machine tools application. This paper focuses on development of control technique to compensate friction force at motion reversal of a drive system that generates quadrant glitch phenomenon thus improving tracking accuracy. Sliding Mode Control (SMC) is designed to compensate friction. The Generalized Maxwell-Slip (GMS) friction model is applied for numerical analysis. The performance of the controller is analysed based on the reduction in the quadrant glitches magnitude. The performance of the SMC controller is compared with the classical PID controller. Results show that SMC controller yields the smallest quadrant glitch magnitudes.


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