摘要
针对贯流式水力机组带孤立负荷时难以稳定的特点 ,在以串级的三维模糊控制器为基础 ,引入 2个反馈环节作为并联校正 ,形成综合控制器的同时 ,以神经网络完成水轮机调节系统调节对象的辨识和控制器参数的在线学习 ,从而较为圆满地解决了贯流式水力机组带孤立负荷时的稳定控制问题。且控制器设计分块、分步、分层进行 ,结构清晰 ,参数设置简单 。
It is difficult to keep the stability of the bulb turbine governing sy stem under isolated network condition. Toimprove the dynamic behavior of the governing system. a comprehensive fuzzy neur al network intelligent control system ofbulb turbine is presented. Based on a three--dimensional fuzzy neUlal network co ntroller. this govelnor is formed with twoadjustment loops (wicket gate feedback. runner blade feedback). that can utilize more real information of the controlledsystem. At the same time. neural network technology is used for the identificati on of the turbine and the adjustment of thecontroller parameters. This control system combines the advantages of fuzzy logi c. neural network. PID control and statefeedback control. The modules of the controller can be designed. tested and adju sted separately step by step. The simulationresults show that it gives quite good performance of governing for different sta tes of bulb turbine working under isolatedpower network.
出处
《电力系统自动化》
EI
CSCD
北大核心
2000年第15期19-22,共4页
Automation of Electric Power Systems
