Title :
An optimum design method based on PSO algorithm for neuron controllers
Author :
Du, Yaping ; Wang, Ning ; Zhang, Jianming
Author_Institution :
Nat. Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
Abstract :
Based on the particle swarm optimization algorithm, the optimum design method for neuron controllers is proposed in this paper. In this controller design method, the rise time and the overshoot are taken as the criterion, and the PSO algorithm is applied to calculate the parameters of the neuron PID controller. The proposed method is used to design the optimum neuron controller for a hydraulic turbine generator. The simulation tests are made. The results show that satisfactory performance is reached.
Keywords :
control system synthesis; hydroelectric generators; neurocontrollers; optimal control; optimisation; three-term control; turbogenerators; hydraulic turbine generator; neuron PID controller; neuron controllers; optimum design method; optimum neuron controller design; overshoot time; particle swarm optimization; rise time; Design methodology; Hydraulic turbines; Industrial control; Laboratories; Neurons; Particle swarm optimization; Process control; Testing; Three-term control;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1342070
