Fuzzy sliding mode variable structure control of a high-speed parallel PnP robot

2021 ◽  
Vol 162 ◽  
pp. 104349
Author(s):  
Guanglei Wu ◽  
Xuping Zhang ◽  
Lina Zhu ◽  
Zirong Lin ◽  
Jinguo Liu
2014 ◽  
Vol 926-930 ◽  
pp. 1463-1467
Author(s):  
Li Ding ◽  
Shu Bo Qiu

This paper involves a linear double inverted pendulum system whose the state space model is established by Lagrange function. In order to solve the chattering problem of the conventional quasi-sliding mode variable structure control, this linear double inverted pendulum system applies the fuzzy control theory to adjust the parameterwhich is in the sliding mode variable structure control law. Then the fuzzy theory is utilized to design the sliding mode and deduce the fuzzy sliding mode reaching law. The significance of this method is that it diffuses the control signal, reduces or avoids the chattering phenomenon of sliding mode control. For the most, the simulation results show that the linear double inverted pendulum system based on fuzzy sliding mode variable structure control not only retains the strong robustness of sliding mode variable structure control, but also improves the dynamic quality of the system and weakens the buffeting of the system. Thus the method is proved to have certain research.


2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Lili Mo ◽  
Yongqiang Liu ◽  
Yan Zhang

In order to handle heavy chattering and negative robustness caused by time-varying system parameters and external load disturbance of the speed control system, thereby having high-precision control over surface permanent magnetic synchronous machine (PMSM), this paper combines the advantages of sliding mode variable structure control (SMVSC) and fuzzy control. Firstly, a fuzzy sliding mode variable structure control (FUZZY-SMVSC) method is proposed, based on the vector control foundation framework of surface PMSM (SPMSM). It effectively reduces chattering while keeping sliding mode, according to the fuzzy rules formulated based on fuzzy control principle. Secondly, integral sliding mode surface is used and integration element is introduced into fuzzy control input, thereby reducing the static error of the conventional fuzzy control. Simulation and experimental results show that the proposed fuzzy sliding mode variable structure control reduces chattering by fuzzy reasoning and softening. Also, it still can maintain the strong robustness of sliding mode variable structure and ensures the fine dynamics of the system, against time-varying system parameters and external load disturbance.


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