Open AccessFinite‐time adaptive fuzzy control for induction motors with input saturation based on command filtering
Author(s) -
Han Yao,
Yu Jinpeng,
Zhao Lin,
Yu Haisheng,
Lin Chong
Publication year - 2018
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2018.0011
Subject(s) - control theory (sociology) , backstepping , fuzzy logic , computer science , tracking error , induction motor , fuzzy control system , filter (signal processing) , control engineering , adaptive control , engineering , control (management) , artificial intelligence , voltage , electrical engineering , computer vision
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.