Composite fault-tolerant and anti-disturbance control for switched fuzzy stochastic systems. (June 2022)

• Record Type: Journal Article
• Authors: Priyanka, S.; Sakthivel, R.; Mohanapriya, S.; Kong, Fanchao; Saat, S.
• Is Part Of: ISA transactions. Volume 125(2022)
• Page Start: 99
• Page End: 109
• Publication Date: 2022-06
• Subjects: Switched fuzzy stochastic systems -- Modified repetitive control -- Actuator faults -- Generalized extended state observer; Engineering instruments -- Periodicals; Engineering instruments; Periodicals; Electronic journals; 629.805
• DOI: 10.1016/j.isatra.2021.06.022
• Languages: English
• ISSNs: 0019-0578

Abstract

Abstract: This paper investigates the issue of fault-tolerant and anti-disturbance attenuation for a two-dimensional modified repetitive control system (2D MRCS) which is described by switched fuzzy systems with multiple disturbances. In particular, the multiple disturbances contain an exogenous disturbance and standard Wiener noise. Specifically, a generalized extended state observer (GESO) is incorporated with the 2D MRCS to estimate both fault and exogenous multiple disturbances so that the disturbances and faults can be attenuated in the control input. Further, the improved 2D MRCS relaxes the stability condition and provides an enhanced tracking performance. Based on the Lyapunov function approach, pole placement technique and average dwell time approach, the stability criteria for the considered system is developed in terms of linear matrix inequality (LMI). Then an algorithm for designing a GESO-based 2D MRC design is developed based on the obtained LMIs. Further, the results developed are validated in the simulation section through three numerical examples. Highlights: A GESO is proposed for switched fuzzy stochastic systems with actuator faults. A 2D MRC incorporating the estimates of the GESO is constructed for precise tracking. The controller and observer gains are evaluated via LMI and pole-placement technique. Three applicative examples are given to show the efficiency of designed controller.