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Takagi-Sugeno Fuzzy Modeling and PSO-Based Robust LQR Anti-Swing Control for Overhead Crane
Joint Authors
Zhang, Jing-Gang
Zhang, Xueliang
Shao, Xuejuan
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-04
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
The dynamic model of overhead crane is highly nonlinear and uncertain.
In this paper, Takagi-Sugeno (T-S) fuzzy modeling and PSO-based robust linear quadratic regulator (LQR) are proposed for anti-swing and positioning control of the system.
First, on the basis of sector nonlinear theory, the two T-S fuzzy models are established by using the virtual control variables and approximate method.
Then, considering the uncertainty of the model, robust LQR controllers with parallel distributed compensation (PDC) structure are designed.
The feedback gain matrices are obtained by transforming the stability and robustness of the system into linear matrix inequalities (LMIs) problem.
In addition, particle swarm optimization (PSO) algorithm is used to overcome the blindness of LQR weight matrix selection in the design process.
The proposed control methods are simple, feasible, and robust.
Finally, the numeral simulations are carried out to prove the effectiveness of the methods.
American Psychological Association (APA)
Shao, Xuejuan& Zhang, Jing-Gang& Zhang, Xueliang. 2019. Takagi-Sugeno Fuzzy Modeling and PSO-Based Robust LQR Anti-Swing Control for Overhead Crane. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1195683
Modern Language Association (MLA)
Shao, Xuejuan…[et al.]. Takagi-Sugeno Fuzzy Modeling and PSO-Based Robust LQR Anti-Swing Control for Overhead Crane. Mathematical Problems in Engineering No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1195683
American Medical Association (AMA)
Shao, Xuejuan& Zhang, Jing-Gang& Zhang, Xueliang. Takagi-Sugeno Fuzzy Modeling and PSO-Based Robust LQR Anti-Swing Control for Overhead Crane. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1195683
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1195683