Sensor fault estimation and fault tolerant control for IT2 fuzzy system via sliding mode approach. (3rd December 2021)

• Record Type: Journal Article
• Authors: Sun, Xingjian; Kang, Haobo; Ma, Hongjun
• Is Part Of: International journal of robust and nonlinear control. Volume 32:Number 4(2022)
• Page Start: 2027
• Page End: 2049
• Publication Date: 2021-12-03
• Subjects: IT2 fuzzy system -- sensor faults -- sliding mode control -- sliding mode observer -- tolerant control; Automatic control -- Periodicals; Control theory -- Periodicals; Nonlinear systems -- Periodicals; 629.836
• DOI: 10.1002/rnc.5923
• Languages: English
• ISSNs: 1049-8923

Abstract

Abstract: The point of this article is the sensor fault estimation and fault‐tolerant controller design for IT2 fuzzy systems via sliding mode approach. In order to estimate accurately the system states and sensor faults, a novel proportional and derivative sliding mode observer is introduced, which provide more design freedom and eliminate the effects of sensor faults. By splitting the operating domain and estimating the membership functions, a set of relaxation stability conditions subject to the information of membership functions and system states are obtained. Then, a sliding mode controller in form of IT2 fuzzy model is designed to stabilize the closed‐loop systems. An example of bolt‐tightening tool model is considered to demonstrate the validity of the proposed results.