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10.1109/DCABES.2011.93guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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The Optimization about PID Controller's Parameter Based on QPSO Algorithm

Published: 14 October 2011 Publication History

Abstract

PID controller for control system parameter optimization problem, we introduced Quantum-behaved particle swarm optimization (QPSO) algorithm, this method has the quantum behavior of particles, which can search the entire feasible region, the state only with particles position vector to describe, and they rely on only one parameter, the convergence speed and global convergence properties are superior to the traditional PSO. Simulation results verify the feasibility of quantum particle swarm optimization and effectiveness.

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cover image Guide Proceedings
DCABES '11: Proceedings of the 2011 10th International Symposium on Distributed Computing and Applications to Business, Engineering and Science
October 2011
417 pages
ISBN:9780769544151

Publisher

IEEE Computer Society

United States

Publication History

Published: 14 October 2011

Author Tags

  1. Optimization about parameter
  2. PID controller
  3. Quantum-behaved Particle Swarm Optimization

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