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

Abstract

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.

Synthetic Adaptive Fuzzy Disturbance Observer and Sliding-Mode Control for Chaos-Based Secure Communication Systems

“…The problem of sliding-mode control is chattering, which occurs from the switching control part. Some improvements in freedom from chatter were introduced in [46][47][48]. Those papers discussed the concepts freedom from chatter through the witching control gains and boundary layer thickness of the saturation function in the switching control part.…”

Robust Sliding Mode Control-Based a Novel Super-Twisting Disturbance Observer and Fixed-Time State Observer for Slotless-Self Bearing Motor System

“…The main problem of the bearingless system is how to design the precision control scheme. Some papers presented the control designs for the magnetic devices such as follows: The control designs for the active magnetic bearing systems were discussed in [1][2][3][4][5]. In this paper, the SSBM control system is presented.…”

Development of Sliding Mode Controller Based on Internal Model Controller for Higher Precision Electro-Optical Tracking System

“…However, it is difficult to deduce the slip variables many times, which limits the superiority of second-order SMC [27]. Chattering can also be reduced by adaptively adjusting the switching gain using fuzzy rules [28], but the design of fuzzy rules is relatively complex and it mostly relies on the experience and knowledge of researchers to establish a fuzzy rule control table [29].…”