Finite-time adaptive fuzzy control for induction motors with input saturation based on command filtering

被引：48
|
作者：
Han, Yao [1 ]
Yu, Jinpeng [1 ]
Zhao, Lin [1 ]
Yu, Haisheng [1 ]
Lin, Chong [1 ]
机构：
[1] Qingdao Univ, Coll Automat & Elect Engn, Qingdao 266071, Peoples R China
来源：
IET CONTROL THEORY AND APPLICATIONS | 2018年 / 12卷 / 15期
基金：
中国博士后科学基金;
关键词：
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; DYNAMIC SURFACE CONTROL; NONLINEAR-SYSTEMS; TRACKING CONTROL; BACKSTEPPING CONTROL; NEURAL-NETWORKS; STABILIZATION;
D O I：
10.1049/iet-cta.2018.0011
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：2148 / 2155
页数：8
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