Title :
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
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;
Conference_Titel :
Industrial Electronics, 2003. ISIE '03. 2003 IEEE International Symposium on
Print_ISBN :
0-7803-7912-8
DOI :
10.1109/ISIE.2003.1267274
