Title :
Electromagnetic performance controlling using intelligent algorithm for hydroelectric generator
Author :
Tiejun Sun ; Hongtao Mi
Author_Institution :
Sch. of Electr. & Inf. Eng., Beihua Univ., Jilin, China
Abstract :
The control method applied to our hydraulic generator product is still the traditional PID control. This method can´t realize self-tuning of control parameters online. To enhance the adaptability of the system, the intelligent control technology is applied to the hydraulic turbine generator set which has effectively improved the dynamic operation performance in different cases. Through theoretical derivation and simulation analysis, we summarized the control performance of improved particle swarm optimization (PSO) method is superior to the fuzzy PID control, when both of them are applied to the hydroelectric regulating system and excitation control system.
Keywords :
fuzzy control; hydroelectric generators; intelligent control; particle swarm optimisation; three-term control; PSO method; dynamic operation performance; electromagnetic performance control; excitation control system; fuzzy PID control; hydraulic turbine generator set; hydroelectric generator; hydroelectric regulating system; intelligent algorithm; intelligent control technology; particle swarm optimization method; Educational institutions; Generators; Hydraulic turbines; Intelligent control; PD control; Particle swarm optimization; Fuzzy PID; Hydroelectric generator; excitation controller; governor;
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
DOI :
10.1109/MEC.2013.6885078