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
[41]   Filter- and Observer-Based Finite-Time Adaptive Fuzzy Control for Induction Motors Systems Considering Stochastic Disturbance and Load Variation [J].
Ma, Panpan ;
Yu, Jinpeng ;
Wang, Qing-Guo ;
Liu, Jiapeng .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2023, 38 (02) :1599-1609
[42]   Neural Network-Based Finite-Time Command Filtering Control for Switched Nonlinear Systems With Backlash-Like Hysteresis [J].
Fu, Cheng ;
Wang, Qing-Guo ;
Yu, Jinpeng ;
Lin, Chong .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 32 (07) :3268-3273
[43]   Adaptive finite-time tracking control for full state constrained nonlinear systems with time-varying delays and input saturation [J].
Xu, Tian ;
Wu, Yuxiang ;
Fang, Haoran ;
Wan, Fuxi .
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2022, 44 (09) :1824-1835
[44]   Command Filter Based Adaptive Fuzzy Finite-Time Control for a Class of Uncertain Nonlinear Systems With Hysteresis [J].
Zhang, Huaguang ;
Liu, Yang ;
Dai, Jing ;
Wang, Yingchun .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2021, 29 (09) :2553-2564
[45]   Adaptive Fuzzy Control of USV Based on Improved Finite-Time Command-Filtered Backstepping Method [J].
Liu, Jiayu ;
Wang, Baofang .
IEEE ACCESS, 2025, 13 :70313-70323
[46]   Command filter-based finite-time adaptive fuzzy control for nonlinear systems with uncertain disturbance [J].
Zhang, Jing ;
Xia, Jianwei ;
Sun, Wei ;
Wang, Zhen ;
Shen, Hao .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2019, 356 (18) :11270-11284
[47]   Adaptive Finite-time Control of Quadrotor UAVs With Asymmetric Input Saturation [J].
Hu, Zhong-Quan ;
Hua, Chang-Chun ;
Yang, Ya-Na ;
Zhang, Liu-Liu .
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2025, 23 (01) :286-299
[48]   Adaptive Fuzzy Finite-Time Control for a Class of Stochastic Nonlinear Systems with Input Saturation [J].
Wenjun Sun ;
Mengmeng Gao ;
Junsheng Zhao .
International Journal of Fuzzy Systems, 2022, 24 :265-275
[49]   Neural network-based command filtered control for induction motors with input saturation [J].
Fu, Cheng ;
Zhao, Lin ;
Yu, Jinpeng ;
Yu, Haisheng ;
Lin, Chong .
IET CONTROL THEORY AND APPLICATIONS, 2017, 11 (15) :2636-2642
[50]   Adaptive Finite-Time 6-DOF Tracking Control for Spacecraft Fly Around With Input Saturation and State Constraints [J].
Huang, Yi ;
Jia, Yingmin .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2019, 55 (06) :3259-3272
12345