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Improved Particle Swarm Optimization Algorithm and Its Application in Hydraulic Turbine Governor PID Parameters Optimization


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Improved Particle Swarm Optimization Algorithm and Its Application in Hydraulic Turbine Governor PID Parameters Optimization
FANG Hong-qing
College of Electrical Engineering,Hohai University,Nanjing 210098,China
particle swarm optimization swarm intelligence hydraulic turbine governor parameters optimization
An improved particle swarm optimization(PSO) algorithm is presented.Besides the individual best position and the global best position,the swarm average position is introduced in the improved PSO algorithm.Therefore,more information is acquired by particles to adjust their movements.The test results based on three benchmark functions show that the improved PSO algorithm has a good performance on global convergency and convergence precision.The computer simulation results indicate that the application of the improved PSO algorithm in hydraulic turbine governor PID parameters optimization can effectively improve the dynamic performance of hydraulic transients.


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Last Update: 2008-06-30