Development and Implementation of Brushless DC Motor Controlles Based on Inteligent Control

  • Park, Jin-Hyun (Department of Electronics, Pusan Junior College) ;
  • Park, Young-Kiu (Department of Electrical Engineering, Pusan National University)
  • Published : 1997.06.01

Abstract

This paper proposes an intelligent controller for brushless DC motor and load with unknown nonlinear dynamics. The proposed intelligent control system consists of a plant identifier and PID controller with varying gains. The identifier is constructed using an Auto Regressive Moving Average (ARMA) model. In order to tune the parameters of the identifier and the gains of the PID controller efficiently, e also propose a modified Evolution Strategy. Experimental results show that the proposed intelligent controller for brushless DC motor has good control performance under unknown disturbance.

Keywords

References

  1. Genetic Algorithms in Search, Optimization, and Machine Learning David E.Goldberg
  2. Genetic Algorithms + Data Structures = Evolution Programs Zbigniew Michalewicz
  3. Evolutionary Algorithms in Theory and Practice-Evolution Strategies Evolutionary Programming Genetic Algorithms Thomas Back
  4. Proceedings of the first IEEE Conference on Evolutionary Computation v.1 Selective Pressure in Evolutionary Algorithm:A Characterization of Selection Mechanisms Tomas Back
  5. Numerical Optimization for Computer Models Schwefel,H.P.
  6. IEEE Trans. on Neural Networks v.3 no.2 Neural Network Application for Direct Feedback Controllers Y.Ichikawa;T.Sawa
  7. Proceedings of the first IEEE Conference on Evolutionary Computation Genetic Algorithm and Simulated Annealing for Optimal Robot Arm PID Control D.P.Kwok;Fag Sheng
  8. Proceedings of the first IEEE Conference on Evolutionary Computation Evolving Neurocontrollers using Evolutionary Programming N.Saravanan;D.B.Fogel
  9. IEEE Trans. on Systems, Man and Cyber. v.24 no.1 Genetic-Based New Fuzzy Reasoning Models with Application to Fuzzy Control D.Park;A.Kandel;G.Langholz
  10. IEEE Trans. on Systems, Man and Cyber. v.23 no.4 Genetic Algorithms in Controller Design and Tunning A.Varsek;T.Urbancic;B.Filipic
  11. IEEE International conference on Neural Networks Use of Genetic Algorithms with Backpropagation in Training of Feed-forward Neural Networks M.Mclnerney;A.P.Dhawan
  12. Proceedings of the first IEEE Conference on Evolutionary Computation Genetic Algorithm and Simulated Annealing for Optimal Robot Arm PID Control D.P.Kwok;Fang Sheng
  13. Digital Control of Dynamic Systems(Second edition) Gene F. Franklin;J. David Powell;Michael L. Workman