Title :
A New Elman Neural Network and Its Application In Hydro-Turbine Governing System
Author :
Qi Weimin ; Cheng Yuanchu ; Ji Qiaoling ; Cai Weiyou
Author_Institution :
Phys. & Inf. Eng. Inst., Jianghan Univ., Wuhan
Abstract :
Elman neural network was one of the dynamic recurrent neural networks. In this paper, a modified Elman network was introduced first. Then we proposed a PID Elman neural network and its learning algorithms are discussed in detail. Simulation results based on ideal mathematical model and hydro-turbine governing system model show that the PID Elman network is prior to the modified Elman network in identifying nonlinear dynamic system.
Keywords :
hydraulic turbines; power engineering computing; power generation control; recurrent neural nets; three-term control; PID Elman neural network; hydro-turbines; nonlinear dynamic system; recurrent neural networks; Feedforward neural networks; Feedforward systems; Mathematical model; Mechanical engineering; Neural networks; Nonlinear dynamical systems; Physics; Power engineering and energy; Recurrent neural networks; System identification;
Conference_Titel :
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2486-3
Electronic_ISBN :
978-1-4244-2487-0
DOI :
10.1109/APPEEC.2009.4918068
