Title :
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
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;
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
DOI :
10.1109/EPE.2007.4417630
