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
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