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

被引：50

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

页码：2148 / 2155

页数：8

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