Design of Fuzzy Regulators with Optimal Initial Conditions Compensation

In almost all cases, the goal of the design of automatic control systems is to obtain the parameters of the controllers, which are described by differential equations. In general, the controller is artificially built and it is possible to update its initial conditions. In the design of optimal quadr...

Full description

Saved in:
Bibliographic Details
Main Authors: Teixeira, M.C.M., Silva, N.A.P., Assuncao, E., Machado, E.R.M.D.
Format: Conference Proceeding
Language:English
Subjects:
Automatic control
Control systems
Fuzzy control
Optimal control
Performance analysis
Regulators
Servomechanisms
Takagi-Sugeno model
Transfer functions
Transient response
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In almost all cases, the goal of the design of automatic control systems is to obtain the parameters of the controllers, which are described by differential equations. In general, the controller is artificially built and it is possible to update its initial conditions. In the design of optimal quadratic regulators, the initial conditions of the controller can be changed in an optimal way and they can improve the performance of the controlled system. Following this idea, a LMI-based design procedure to update the initial conditions of PI controllers, considering the nonlinear plant described by Takagi-Sugeno fuzzy models, is presented. The importance of the proposed method is that it also allows other specifications, such as, the decay rate and constraints on control input and output. The application in the control of an inverted pendulum illustrates the effectively of proposed method.
ISSN:1098-7584
DOI:10.1109/FUZZY.2006.1681699