Application of learning methodologies in control of power electronics drives

Author

da Silva Neto, J.L. ; Rolim, L.G. ; Suemitsu, W.I. ; Henriques, L.O.A.P. ; Branco, P. J. Costa ; Simeos, M.G.

Author_Institution

UFRJ, Rio de Janeiro, Brazil

Volume

1

fYear

2003

fDate

9-11 June 2003

Firstpage

358

Abstract

This paper initially discusses the learning methodologies as an underlay approach that advances several applications in power electronics and drive systems. Two applications of learning techniques based on fuzzy logic and neural networks are presented as examples of intelligent electrical drives. Initially, an adaptive learning speed control of a PMSM drive is designed, simulated and implemented. A second example deals with neuro-fuzzy control of a SR drive to reduce pulsating torque. Those techniques are corroborated by both simulation and experimental results, achieving good performance results and fast dynamic response.

Keywords

fuzzy control; fuzzy logic; learning (artificial intelligence); machine control; neurocontrollers; permanent magnet motors; power electronics; synchronous motor drives; PMSM drive; SR drive; adaptive learning speed control; fuzzy logic; intelligent electrical networks; learning methodologies; neural networks; neuro-fuzzy control; power electronics drives control; pulsating torque reduction; Adaptive control; Drives; Fuzzy logic; Intelligent networks; Neural networks; Power electronics; Programmable control; Strontium; Torque control; Velocity control;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, 2003. ISIE '03. 2003 IEEE International Symposium on

Print_ISBN

0-7803-7912-8

Type

conf

DOI

10.1109/ISIE.2003.1267274

Filename

1267274