An interval type-2 fuzzy linear quadratic regulator method for an overhead crane

被引：3

作者：

Shao, Xuejuan ^{[1
]}

Zhao, Ruonan ^{[1
,2
]}

Zhang, Jinggang ^{[1
]}

Chen, Zhimei ^{[1
]}

Zhao, Zhicheng ^{[1
]}

机构：

[1] Taiyuan Univ Sci & Technol, Sch Elect Informat Engn, Taiyuan, Peoples R China

[2] Taiyuan Univ Sci & Technol, Sch Elect Informat Engn, Taiyuan 030024, Peoples R China

来源：

TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL | 2023年 / 45卷 / 09期

基金：

美国国家科学基金会;

关键词：

Overhead crane; interval type-2 T-S model; fuzzy LQR; Lyapunov method; SLIDING MODE CONTROL; SWING SUPPRESSION; SWAY CONTROL; SYSTEM; DESIGN;

D O I：

10.1177/01423312221137668

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The overhead crane systems contain parameter uncertainties and external disturbances, which will affect the control performance of the systems. To overcome this problem, an interval type-2 Takagi-Sugeno (T-S) fuzzy linear quadratic regulator (LQR) approach is proposed for overhead crane system in this paper. First, an interval type-2 T-S fuzzy model is constructed based on the nonlinear dynamic model of the overhead crane system. The type-2 model can capture the system uncertainties. Second, the fuzzy LQR is designed on the basis of the fuzzy model and the asymptotic stability of the closed-loop system is analyzed using Lyapunov method. Finally, simulations and experiments are studied. The results show that the proposed method can give the overhead crane system faster trolley positioning speed, smaller load swing, and better anti-disturbance ability than the existing LQR control method.

引用

页码：1634 / 1645

页数：12

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