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UKSim 2009: 11th International Conference on Computer Modelling and Simulation
Adaptive Tuning of a PID Speed Controller for DC Motor Drives Using Multi-objective Particle Swarm Optimization
March 25-March 27
ISBN: 978-0-7695-3593-7
In this paper, a control scheme based on Multi-Objective Particle Swarm optimization MOPSO is proposed, which is able to tune the PID controller parameters simultaneously in order to find the set of trade-off optimal solutions that is called Pareto-set optimization solution of the conflicting objective functions for dc motor drive system. Multi Objective Particle Swarm Optimization MOPSO is implemented to tackle a number of conflicting goals that define the optimality problem. This paper deals with five conflicting objective functions. These conflicting functions are:1. Minimize the maximum overshoot,2. Minimize the rise time,3. Minimize speed tracking error, 4. Minimize the steady state error, and 5. Minimize the settling time,
Index Terms:
DC Motor Drive, Multi-Objective Particle Swarm Optimization PSO, Tuning PID, Steady State Error, Maximum Overshoot, Settling Time, Rise Time
Citation:
Adel A.A. El-Gammal, Adel A. El-Samahy, "Adaptive Tuning of a PID Speed Controller for DC Motor Drives Using Multi-objective Particle Swarm Optimization," uksim, pp.398-404, UKSim 2009: 11th International Conference on Computer Modelling and Simulation, 2009
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