Title page for etd-0623109-204007

URN	etd-0623109-204007	Statistics	This thesis had been viewed 957 times. Download 2 times.
Author	Gow-long Tzeng
Author's Email Address	gowlongtzeng@yahoo.com.tw
Department	Institute of Mechatronic Engineering
Year	2008	Semester	2
Degree	Master	Type of Document	Master's Thesis
Language	zh-TW.Big5 Chinese	Page Count	132
Title	The research of the direct neural controller applied to DC servo motor speed and position control
Keyword	Neural networks Keywords: DC servo motor Speed regulator Speed regulator Keywords: DC servo motor Neural networks
Abstract	Abstract The DC servo motors are widely used in industry application. This research applies neural control to improve the stability, adaptability and self-learning ability of control system. The simulations and experiments are executed to investigate the dynamic responses for the control system requirement of high performance and accurate. This research studies the biological neuron structure and human neural network, then study the artificial neural network (ANN), which is applied to execute OR and XOR logical gates mapping problem. The convergent properties are analyzed and simulated with high convergent speed. This study applied ANN controller to DC servo motor speed regulator with load disturbance. The proposed neural controller does not need plant dynamical model, reference model and neural emulator. The simulation and experiment results show that the proposed speed regulator is available to keep motor in constant speed with high convergent speed. This study also applied ANN and ANN＋PD hybrid control to DC servo motor position control. The simulation results show that both of the ANN and hybrid controllers make control system have stable responses. The simulation results also reveals that the dynamic responses will be improved by previous training by a square command signal, which makes the neural network with appropriate initial values. Keywords: DC servo motor, Speed regulator, Neural networks, Position control.
Advisor Committee	Ming-huei Chu - advisor Chien-hsin Hsieh - co-chair Ming-huei Chu - co-chair Ya-dong Pan - co-chair Ya-dong Pan - chair
Files	etd-0623109-204007.pdf indicate not accessible
Date of Defense	2009-05-12	Date of Submission	2009-06-23

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