摘要
针对稳定性较差的灯泡贯流式水轮发电机组,设计了单层神经网络和三层神经网络调速器;与通过仿真寻优得到的PID控制器相比,能明显提高系统的稳定性和鲁棒性,具有实际工程应用价值。
The speed regulators with one-layer neural network or 3-layer neural network are designed for hydraulic generators. Compared with simulated optimizing PID controller,its reliability and robustness is better and it has practical value.
出处
《电气自动化》
北大核心
1996年第5期8-9,2,共2页
Electrical Automation
