Variable structure control of nonlinear system using fuzzy variable boundary layer

2002 ◽  
Author(s):  
Heejin Lee ◽  
Hongyoup Son ◽  
Euntai Kim ◽  
Mignon Park
Keyword(s):  
Boundary Layer ◽  
Nonlinear System ◽  
Fuzzy Variable ◽  
Variable Structure Control ◽  
Variable Structure ◽  
Variable Boundary ◽  
Structure Control

Tracking Control of Variable Structure Using Fuzzy Variable Boundary Layer

1999 ◽  
Vol 3 (4) ◽  
pp. 332-338
Author(s):  
Heejin Lee ◽  
◽  
Dong-Yon Kim ◽  
Taeck-Kie Lee ◽  
Sang-Hoon Kim ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Fuzzy Variable ◽  
Variable Structure ◽  
Thin Boundary Layer ◽  
Variable Boundary ◽  
Structure Control ◽  
Fuzzy Algorithms ◽  
Variable Structure System ◽  
Control Gain ◽  
Better Than

Control gain greatly affects variable structure system (VSS) performance as a system design parameter. The thin boundary layer used to eliminate chatter neighbors the sliding surface. Sliding control based on a variable boundary layer tracks better than a fixed layer. We propose variable structure control using fuzzy algorithms in control gain and the boundary layer to increase tracking efficiency, proving its feasibility in application to a simple nonlinear system.

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.

Fuzzy variable structure control based on a Takagi-Sugeno model for permanent-magnet synchronous motors

2009 ◽  
Vol 223 (6) ◽  
pp. 773-783 ◽  
Author(s):  
X Z Zhang ◽  
Y N Wang
Keyword(s):  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Fuzzy Variable ◽  
Fuzzy Model ◽  
Variable Structure Control ◽  
Variable Structure ◽  
Permanent Magnet Synchronous Motors ◽  
Structure Control ◽  
Non Linear System ◽  
Takagi Sugeno

A fuzzy variable structure control (FVSC) scheme based on a Takagi-Sugeno (T-S) model is proposed in this paper for a permanent-magnet synchronous motor (PMSM) drive system in order to solve the speed tracking problem. A T-S fuzzy model is first formed to represent the non-linear system of the PMSM. To convert the tracking control into a stabilization problem, a new control design is proposed to define the internal desired states. Then, an FVSC controller for the PMSM system with parameter variation and load disturbances is designed on the basis of this fuzzy model. The FVSC scheme can drive the dynamics of the PMSM into a designated sliding surface in finite time, and guarantee the property of asymptotical stability. It is also shown that information on the upper bound of modelling errors, as well as on perturbations, is not required when using the FVSC controller. The performance of the proposed controller is verified by simulation and experimental results on a PMSM system.

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