Optimization Aspects in a Class of Fuzzy Controlled Servosystems

Author

Precup, R.-E. ; Preitl, Stefan ; Tar, J.K. ; Takacs, M.

Author_Institution

Politehnica Univ. of Timisoara, Timisoara

fYear

2007

fDate

June 29 2007-July 2 2007

Firstpage

235

Lastpage

240

Abstract

The paper suggests a fuzzy control solution for a class of servo systems. Simplified mathematical models of second-order integral type characterize the controlled plants. The design is done using the linear case results on the basis of the extended symmetrical optimum (ESO) method and Iterative Learning Control and by the transfer of these results to the fuzzy case. The sensitivity analysis of the fuzzy control systems with respect to the parametric variations of controlled plant is performed to enable the design of a class of Mamdani Pi-fuzzy controllers. Digital simulation results and real-time experimental results corresponding to a case study validate the new fuzzy control solution.

Keywords

fuzzy control; iterative methods; learning systems; optimisation; servomechanisms; Mamdani Pi-fuzzy controller; digital simulation; extended symmetrical optimum method; fuzzy controlled servosystem; iterative learning control; mathematical model; optimization; sensitivity analysis; Control systems; Convergence; Fuzzy control; Iterative algorithms; Mathematical model; Open loop systems; Servomechanisms; Servosystems; Steady-state; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Engineering Systems, 2007. INES 2007. 11th International Conference on

Conference_Location

Budapest

Print_ISBN

1-4244-1147-5

Electronic_ISBN

1-4244-1148-3

Type

conf

DOI

10.1109/INES.2007.4283704

Filename

4283704