Finite‐time adaptive fuzzy control for induction motors with input saturation based on command filtering. Issue 15 (1st October 2018)

• Record Type: Journal Article
• Authors: Han, Yao; Yu, Jinpeng; Zhao, Lin; Yu, Haisheng; Lin, Chong
• Is Part Of: IET control theory & applications. Volume 12:Issue 15(2018)
• Page Start: 2148
• Page End: 2155
• Publication Date: 2018-10-01
• Subjects: adaptive control -- position control -- fuzzy logic -- fuzzy control -- control system synthesis -- error compensation -- nonlinear control systems -- control nonlinearities -- Lyapunov methods; ‐time adaptive fuzzy control -- induction motors -- input saturation -- command filtering -- finite‐time command filtered position tracking control approach -- fuzzy logic systems -- nonlinear functions -- finite‐time command filter -- error compensating signals -- command filters -- finite‐time adaptive command filtered controllers -- tracking error -- finite time; Control theory -- Periodicals; Automatic control -- Periodicals; 629.8312
• DOI: 10.1049/iet-cta.2018.0011
• Languages: English
• ISSNs: 1751-8644

Abstract

Abstract : This study develops a fuzzy finite‐time command filtered position tracking control approach for induction motors with input saturation. First, the fuzzy logic systems are utilised to approximate the non‐linear functions. Then, in order to avoid the 'explosion of complexity' in backstepping design, the finite‐time command filter is employed. In addition, error compensating signals are introduced to decrease the errors produced by command filters. The fuzzy finite‐time adaptive command filtered controllers can guarantee that the tracking error can converge in finite time. The results of simulation show the effectiveness of the proposed method.