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
收藏
页码：2148 / 2155
页数：8
相关论文
共 50 条
[31]   Fuzzy Approximation-Based Adaptive Command Filtered Control for Induction Motors [J].
Wang, Xiaoling ;
Ma, Yumei ;
Yu, Jinpeng ;
Liu, Lichao ;
Li, Wei .
PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, :922-927
[32]   Finite-Time Command Filtered Event-Triggered Adaptive Fuzzy Tracking Control for Stochastic Nonlinear Systems [J].
Xia, Jianwei ;
Li, Baomin ;
Su, Shun-Feng ;
Sun, Wei ;
Shen, Hao .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2021, 29 (07) :1815-1825
[33]   Adaptive finite-time fuzzy control for nonlinear systems with input quantization and unknown time delays [J].
Qi, Xiaojing ;
Liu, Wenhui ;
Yang, Yuge ;
Lu, Junwei .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2020, 357 (12) :7718-7742
[34]   Finite-time adaptive fuzzy event-triggered control for nonlinear time-delay system with input quantization via command filter [J].
He, Wenmin ;
Liu, Yu ;
Wang, Cunsong ;
Zhang, Quanling .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2024, 361 (18)
[35]   Adaptive Finite-Time Control for Attitude Tracking of Spacecraft under Input Saturation [J].
Guo, Yong ;
Huang, Bing ;
Wang, Shuo ;
Li, Ai-jun ;
Wang, Chang-qing .
JOURNAL OF AEROSPACE ENGINEERING, 2018, 31 (02)
[36]   Adaptive Finite-time Attitude Tracking Control of an Uncertain Spacecraft with Input Saturation [J].
Ma, Jianjun ;
Li, Peng ;
Geng, Lina ;
Zheng, Zhiqiang .
2015 IEEE CONFERENCE ON CONTROL AND APPLICATIONS (CCA 2015), 2015, :930-935
[37]   Fuzzy Adaptive Switching Control for Stochastic Systems With Finite-Time Prescribed Performance [J].
Sun, Kangkang ;
Guo, Runsheng ;
Qiu, Jianbin .
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 52 (09) :9922-9930
[38]   IBLF-Based Finite-Time Adaptive Fuzzy Output-Feedback Control for Uncertain MIMO Nonlinear State-Constrained Systems [J].
Wei, Yan ;
Wang, Yueying ;
Ahn, Choon Ki ;
Duan, Dengping .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2021, 29 (11) :3389-3400
[39]   Command filter-based adaptive fuzzy backstepping control for a class of switched non-linear systems with input quantisation [J].
Huang, Leitao ;
Li, Yongming ;
Tong, Shaocheng .
IET CONTROL THEORY AND APPLICATIONS, 2017, 11 (12) :1948-1958
[40]   Robust adaptive finite-time tracking control of uncertain mechanical systems with input saturation and deadzone [J].
Wang, Baofang ;
Li, Sheng ;
Chen, Qingwei .
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2019, 41 (02) :560-572
12345