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ISA Trans. 2017 Sep;70:309-321. doi: 10.1016/j.isatra.2017.05.011. Epub 2017 May 30.

Nonlinear adaptive control based on fuzzy sliding mode technique and fuzzy-based compensator.

ISA transactions

Sy Dzung Nguyen, Hoang Duy Vo, Tae-Il Seo

Affiliations

  1. Division of Computational Mechatronics, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam; Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam. Electronic address: [email protected].
  2. Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam. Electronic address: [email protected].
  3. Department of Mechanical Engineering, Incheon National University, South Korea. Electronic address: [email protected].

PMID: 28571754 DOI: 10.1016/j.isatra.2017.05.011

Abstract

It is difficult to efficiently control nonlinear systems in the presence of uncertainty and disturbance (UAD). One of the main reasons derives from the negative impact of the unknown features of UAD as well as the response delay of the control system on the accuracy rate in the real time of the control signal. In order to deal with this, we propose a new controller named CO-FSMC for a class of nonlinear control systems subjected to UAD, which is constituted of a fuzzy sliding mode controller (FSMC) and a fuzzy-based compensator (CO). Firstly, the FSMC and CO are designed independently, and then an adaptive fuzzy structure is discovered to combine them. Solutions for avoiding the singular cases of the fuzzy-based function approximation and reducing the calculating cost are proposed. Based on the solutions, fuzzy sliding mode technique, lumped disturbance observer and Lyapunov stability analysis, a closed-loop adaptive control law is formulated. Simulations along with a real application based on a semi-active train-car suspension are performed to fully evaluate the method. The obtained results reflected that vibration of the chassis mass is insensitive to UAD. Compared with the other fuzzy sliding mode control strategies, the CO-FSMC can provide the best control ability to reduce unwanted vibrations.

Copyright © 2017 ISA. Published by Elsevier Ltd. All rights reserved.

Keywords: Compensation for uncertainty and disturbance; Disturbance observer; Fuzzy sliding mode control; Nonlinear adaptive control

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