DocumentCode
1561472
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
Volume
3
fYear
2004
Firstpage
2617
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN
0-7803-8273-0
Type
conf
DOI
10.1109/WCICA.2004.1342070
Filename
1342070
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