DocumentCode :
554955
Title :
Switched reluctance generator system based on single neuron adaptive PID controller
Author :
Xiaoshu Zan ; Fangnan Xie
fYear :
2011
fDate :
11-13 Aug. 2011
Firstpage :
123
Lastpage :
127
Abstract :
A novel single neuron adaptive PID controller has been used for the switched reluctance generator system in this paper. The switched reluctance generator system is hard to obtain good control performance by the traditional linear control theory due to its serious nonlinearity. The single neuron adaptive PID controller is suitable for the switched reluctance generator system because of its simple structure, adaptive ability and strong robust performance. The simulation model of the system adopting the proposed control strategy based on MATLAB/SIMULINK has been established firstly and the simulation results has been given. The experimental results have been given too on the switched reluctance generator system experimental platform. Both the simulation and the experimental results show that the system has the advantages of quick voltage establishing, small voltage vibration and rapid dynamic response. The single neuron adaptive PID controller has good applied prospect in the switched reluctance generator system.
Keywords :
adaptive control; machine control; neurocontrollers; reluctance generators; three-term control; MATLAB-SIMULINK; rapid dynamic response; robust performance; single neuron adaptive PID controller; switched reluctance generator system; traditional linear control theory; voltage establishing; voltage vibration; Equations; Generators; Load modeling; Mathematical model; Neurons; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Mechatronic Systems (ICAMechS), 2011 International Conference on
Conference_Location :
Zhengzhou
Print_ISBN :
978-1-4577-1698-0
Type :
conf
Filename :
6024999
Link To Document :
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