DocumentCode
2440565
Title
Fuzzy Self-Adaptive PID Control Based on BP Neural Network for TCSC
Author
Wenjin, Dai ; Xiangjie, Chen ; Qingsheng, Lin
Author_Institution
Dept. of Electr. & Autom. Eng., Nanchang Univ., Nanchang, China
Volume
1
fYear
2009
fDate
26-27 Aug. 2009
Firstpage
178
Lastpage
181
Abstract
The flexible AC transmission system performance will be impacted directly by the controllers, therefore, the investigate in FACTS technology has been focus on the control system. With the characteristics and principles of the TCSC operation, this paper deals with the control of TCSC and a kind of fuzzy adaptive PID controller based on BP neural network is presented, which solved the problem in the linear of PID controller. The parameters of the controller are dynamically adjusted with the output of the BP neural network. So the control performance can be satisfied momentarily. The simulation results illustrate that the control strategy can be performed easily and have relatively high control precision.
Keywords
backpropagation; flexible AC transmission systems; fuzzy control; neurocontrollers; power transmission control; self-adjusting systems; three-term control; BP neural network; FACTS technology; TCSC operation; flexible AC transmission system; fuzzy self-adaptive PID control; Adaptive control; Control systems; Flexible AC transmission systems; Fuzzy control; Fuzzy neural networks; Neural networks; Power capacitors; Programmable control; Three-term control; Thyristors; BP neural network; Fuzzy self-adaptive PID control; TCSC; simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on
Conference_Location
Hangzhou, Zhejiang
Print_ISBN
978-0-7695-3752-8
Type
conf
DOI
10.1109/IHMSC.2009.53
Filename
5336073
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