Disturbance Rejection via Fuzzy Control with Disturbance Observer for Active Magnetic Bearing System

2021 ◽  
Author(s):  
Bo Wang ◽  
Haipeng Geng ◽  
Wei Zheng ◽  
Jiayi Yao ◽  
Dingchong Lyu
Keyword(s):  
Fuzzy Control ◽  
Disturbance Rejection ◽  
Disturbance Observer ◽  
Magnetic Bearing ◽  
Active Magnetic Bearing ◽  
Bearing System

scholarly journals Effectiveness of fuzzy sliding mode control boundary layer based on uncertainty and disturbance compensator on suspension active magnetic bearing system

2020 ◽  
Vol 53 (5-6) ◽  
pp. 934-942 ◽  
Author(s):  
Van-Nam Giap ◽  
Shyh-Chour Huang
Keyword(s):  
Boundary Layer ◽  
Disturbance Observer ◽  
Sliding Mode ◽  
Magnetic Bearing ◽  
Extended State Observer ◽  
Active Magnetic Bearing ◽  
Extended State ◽  
Nonlinear Disturbance Observer ◽  
Nonlinear Disturbance ◽  
Bearing System

This paper presents the disturbance and uncertainty suppression by using the nonlinear disturbance observer and an extended state observer for a nonlinear active magnetic bearing system. Otherwise, the chattering free is assured by a fuzzy controller, where the fixed sliding mode surface boundary is regulated by fuzzy boundary layer. The stability of the system is guaranteed by Lyapunov condition. First, the nonlinear disturbance observer is presented to estimate the disturbance from outside of the system. Second, the system parameter variations are estimated by an extended state observer with the construction via the estimated disturbance value. Third, the proportional–integral–derivative sliding mode surface has been constructed due to the chattering values that appear from the high-frequency switching control values. Fourth, these chattering values are reduced by using a Mamdani fuzzy logic control. The proposed control methodology was given by the MATLAB simulation. The overshoot value that is equal to zero, narrow settling time, and the average distance tracking error value which is quite small are archived.

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