A new method of adaptive predictive control in multimass electromechanical systems with variable parameters

Author

Kolesnikov, Artem ; Glushkin, Evgeny ; Podborsky, Pavel ; Winternheimer, Stefan

Author_Institution

Siberian Fed. Univ., Abakan

fYear

2007

fDate

2-5 Sept. 2007

Firstpage

1

Lastpage

7

Abstract

A method of synthesis adaptive locally-optimum control with predicting model for electromechanical systems with casual parameters is presented in detail. Thus for decision of a problem to estimate the changing parameters the theory of multilayered artificial neural networks methods are involved. The method is verified on a two-mass electromechanical systems with casual parameters.

Keywords

adaptive control; control system synthesis; machine control; neural nets; optimal control; predictive control; adaptive predictive control method; multilayered artificial neural networks methods; multimass electromechanical systems; synthesis adaptive locally-optimum control; variable parameters; Adaptive control; Artificial neural networks; Control system synthesis; Electric variables control; Electromechanical systems; Network synthesis; Parameter estimation; Predictive control; Predictive models; Programmable control; Electrical Drive; Electromechanical system; Model Predictive Control; Neural network; Optimal Control;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics and Applications, 2007 European Conference on

Conference_Location

Aalborg

Print_ISBN

978-92-75815-10-8

Electronic_ISBN

978-92-75815-10-8

Type

conf

DOI

10.1109/EPE.2007.4417630

Filename

4417630