Adaptive Neural Controller Design for Synchronous Generator Based on Heuristic Dynamic Programming
Synchronous generator is a system which has a series of dynamic characteristics as non-linear, fast response and so on. It ensures the stability and security of the power grid and plays an important role. As a result, the effective control of the synchronous generator, it is particularly important. This paper provides a new type of adaptive neural controller, which is based on heuristic dynamic programming (HDP) method. It can be updated on-line, and constantly optimize the controller. Illustrated by the case of the single machine infinite bus system, the simulation of neural controller and the traditional automatic voltage regulator about phase short-circuit is carried out using Matlab/Simulink. The result shows that the new type of controller is more effective.
Approzimate Dynamic Programming(ADP) Heuristic Dynamic Programming Artificial Neural Network Adaptive Control
Song Shao-jian Li Xiao-qiang Lin Xiao-feng Liao Bi-lin
College of Electrical Engineering, Guangxi University, naning 530004
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
2161-2166
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）