Modified Fuzzy Variable Structure Control Method to the Crane System with Control Deadzone Problem

2008 ◽  
Vol 14 (7) ◽  
pp. 953-969 ◽  
Author(s):  
Cheng-Yuan Chang ◽  
Kou-Cheng Hsu ◽  
Kou-Hung Chiang ◽  
Guo-En Huang
Keyword(s):  
Control Method ◽  
Fuzzy Variable ◽  
Variable Structure Control ◽  
Variable Structure ◽  
Structure Control

A New Fuzzy Variable Structure Control of a Type of Nonlinear Multivariable System

2006 ◽  
Vol 315-316 ◽  
pp. 623-627
Author(s):  
P. Wei ◽  
Z.L. Wang ◽  
L.H. Qiu
Keyword(s):  
High Efficiency ◽  
Control Method ◽  
Fuzzy Variable ◽  
Variable Structure Control ◽  
Variable Structure ◽  
Multivariable System ◽  
Robust Performance ◽  
Structure Control ◽  
System A ◽  
Novel Method

In order to improve the robust performance for a type of nonlinear multivariable system, a new fuzzy variable structure control method is introduced in detail, which combined the features of traditional variable structure control method with the advantages of the fuzzy control theory. The present work realized the linearization of the nonlinear multivariable system, and then the new fuzzy variable structure control method is applied to control the linearization system. The robust experiments were carried out on the novel method. The results indicated that the required robust performance could be achieved with high efficiency by utilizing the new method.

Study on the Control of Fuzzy Sliding Mode Variable Structure of Aerospace Vehicle’s Attitude

2014 ◽  
Vol 912-914 ◽  
pp. 1412-1415
Author(s):  
Bin Li
Keyword(s):  
Feedback Linearization ◽  
Control Method ◽  
Sliding Mode ◽  
Adaptive Fuzzy Control ◽  
Fuzzy Variable ◽  
Variable Structure Control ◽  
Variable Structure ◽  
Strongly Coupled ◽  
Structure Control ◽  
Unknown Disturbance

Based on the nonlinear, strongly coupled and uncertain model of the aerocraft vehicles attitude system, a fuzzy variable structure control method is proposed. Based on the feedback-linearization technique, the system was firstly decoupled into three independent SISO subsystems, and then controllers for each subsystem were designed. Modeling error and unknown disturbance is effectively restrained with the proposed adaptive fuzzy control with variable structure control. Theoretical analysis and simulation results show that the proposed method has high control accuracy, high robust and easy realization.

Variable Structure Hybrid Control of Manipulators in Unconstrained and Constrained Motion

1996 ◽  
Vol 118 (2) ◽  
pp. 327-332 ◽  
Author(s):  
Robert R. Y. Zhen ◽  
Andrew A. Goldenberg
Keyword(s):  
Control Method ◽  
Hybrid Control ◽  
Sliding Mode ◽  
Robot Manipulators ◽  
Hierarchical Control ◽  
Variable Structure Control ◽  
Variable Structure ◽  
Control Algorithms ◽  
Constrained Motion ◽  
Structure Control

This paper addresses the problem of robust hybrid position and force control of robot manipulators. Variable structure control with sliding mode is used to implement the hybrid control strategy. Two variable structure control algorithms are developed in task space. One of the algorithms is based on hierarchical control method, and the other is developed for control of robot manipulators used to carried out both unconstrained and constrained tasks.

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