摘要
文章针对水轮机调节系统的参数非线性、时变性和模型不确定性,为了改善水轮发电机组的动态调节品质,设计了一种基于神经网络的智能PID控制器,对神经网络控制在水轮机调节中的应用进行理论分析,将基于神经网络的模糊PID控制器应用于水轮机调速系统。仿真和实验结果表明,该控制器具有优良的调节品质。
：According to the nonlinearity and time variability of the parameters and the uncertainty of the model in hydraulic turbine governing system, an intelligent PID controller based on neural net- work is designed to improve the dynamic governing performance of the hydraulic turbine generator u- nit. The application of the neural network control in hydraulic turbine governing is analyzed theoreti- cally, and the fuzzy PID controller based on neural network is applied to the system of the turbine governor. The simulation and experimental results show that the controller has a better governing quality.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2012年第9期1187-1191,共5页
Journal of Hefei University of Technology：Natural Science
基金
合肥工业大学产学研校企合作资助项目(09-634
10-795)
关键词
神经网络
BP算法
PID控制
水轮机调节
neural network
BP algorithm
PID control
hydraulic turbine governing
