Optimal adaptive neural PI full-order sliding mode control for robust fault tolerant control of uncertain nonlinear system

Mien Van, Xuan Phu Do

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper proposes a robust fault tolerant control scheme for a class of second-order uncertain nonlinear systems. First, a novel PI full-order sliding mode (PI-FOSM) control, which integrates a new PI-FOSM sliding surface and a continuous control law, is developed. The crucial parameters of the controller are optimally selected by Bat algorithm so that the nearly optimal performance of the controller can be achieved. In addition, the unknown system dynamics is approximated by using a radial basic function neural network (RBFNN) so that the proposed controller does not require an exact model of the system. Compared with other existing sliding mode controllers for fault tolerant control system, the proposed method provides very strong robustness, low oscillation, fast convergence and high precision. The superior performance of the proposed robust fault tolerant controller is proved through simulation results for attitude control of a spacecraft.
Original languageEnglish
Number of pages11
JournalEuropean Journal of Control
Early online date09 Jan 2020
DOIs
Publication statusEarly online date - 09 Jan 2020

Fingerprint Dive into the research topics of 'Optimal adaptive neural PI full-order sliding mode control for robust fault tolerant control of uncertain nonlinear system'. Together they form a unique fingerprint.

  • Cite this