DocumentCode :
637403
Title :
Neurocontroller based on ADHDP for rectifier in HVDC system
Author :
Xiaohua Zhou ; Chunning Song
Author_Institution :
Dept. of Electr. Inf. & Control Eng., Guangxi Univ. of Technol., Liuzhou, China
fYear :
2012
fDate :
18-20 Sept. 2012
Firstpage :
1
Lastpage :
4
Abstract :
A novel neurocontroller based on ADHDP for rectifier in HVDC transmission system is presented in this paper. The action dependent heuristic dynamic programming (ADHDP), a member of the adaptive critic designs family is used for the design of the rectifier neurocontroller in HVDC. The action network and critic network of the neurocontroller are designed using BP artificial neural networks. Using a proportional-integrator approach, the proposed neurocontroller is capable of dealing with actual rather than deviation signals. Simulation results are provided to show that the proposed controller performs better than the conventional PID controller.
Keywords :
HVDC power transmission; PI control; backpropagation; control system synthesis; dynamic programming; neurocontrollers; power transmission control; rectifiers; ADHDP; BP artificial neural networks; HVDC transmission system; PID controller; action dependent heuristic dynamic programming; action network; adaptive critic designs family; critic network; neurocontroller; proportional-integrator approach; rectifier; Biological neural networks; HVDC transmission; Inverters; Mathematical model; Neurocontrollers; Rectifiers; Adaptive critic designs (ACDs); HVDC transmission system; action dependent heuristic dynamic programming; rectifier control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering and Automation Conference (PEAM), 2012 IEEE
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-1599-0
Type :
conf
DOI :
10.1109/PEAM.2012.6612492
Filename :
6612492
Link To Document :
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