Takagi-Sugeno Fuzzy Modeling and PSO-Based Robust LQR Anti-Swing Control for Overhead Crane
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-...
Main Authors: | Xuejuan Shao, Jinggang Zhang, Xueliang Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2019-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2019/4596782 |
Similar Items
-
Design and Real-Time Implementation of Takagi–Sugeno Fuzzy Controller for Magnetic Levitation Ball System
by: Jinggang Zhang, et al.
Published: (2020-01-01) -
Design of Takagi-Sugeno Fuzzy Controller
by: Chein-Chung Sun, et al.
Published: (2005) -
Stability on Takagi-Sugeno Fuzzy System
by: Yu-Min Chen, et al.
Published: (1999) -
Optimal Anti-swing Control of an Overhead Crane Using Fuzzy-blended Strategy
by: Chien Hao Hsu, et al.
Published: (2009) -
Fuzzy Logic Anti-swing Control of a 2-Dimensional Overhead Crane
by: Shin-ChinHuang, et al.
Published: (2003)