Command Filter Approximation-Based Finite-Time Fuzzy Control for Induction Motor with Full State Constraints

被引：2
作者：
Song, Chen [1 ]
Yu, Jinpeng [1 ]
Liu, Jiapeng [1 ]
Zhao, Lin [1 ]
Ma, Yumei [1 ]
机构：
[1] Qingdao Univ, Coll Automat, Qingdao 266071, Peoples R China
来源：
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS | 2022年 / 24卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Command filter approximation; Finite-time control technology; Full state constraints; Induction motor; Convex optimization technology; BARRIER LYAPUNOV FUNCTIONS; STOCHASTIC NONLINEAR-SYSTEMS; LARGE-SCALE SYSTEMS; TRACKING CONTROL; ADAPTIVE-CONTROL; NEURAL-CONTROL;
D O I：
10.1007/s40815-022-01314-y
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this article, a command filter approximation-based finite-time fuzzy control scheme is proposed for the position tracking control of induction motor (IM) with full state constraints. Firstly, command filters and fuzzy logic systems are used to reconstruct the approximate value of unknown nonlinearities in IM drive systems, and convex optimization technology is applied to construct the update law of the weights of the fuzzy logic systems. Secondly, the barrier Lyapunov functions are introduced to ensure that the state of the motor is always in the given constraint space. Then, the finite-time control technology is utilized to accelerate the response speed of the system and realize the effective and fast tracking of the desired signal. Finally, the validity of the scheme proposed is verified by simulation.
引用
收藏
页码：3456 / 3468
页数：13
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