摘要
在实际控制应用中常常有大时滞存在,用传统控制方法较难获得满意的控制效果。为解决这个问题,该文提出了基于模糊神经网络控制器,模拟手动控制过程,根据过程状态的动态变化实施控制器的在线调整,仿真和实践结果均表明了该控制方案的优越性。
There is always a long time delay in process control, and there foregood control effects may not be obtained by using traditional control methods. In this paper, a Fuzzy Neural Networks (FNN) controller based on fuzzy prediction algorithm is presented to solve this problem. The controller can be tuned automatically on line according to the changing of the process states. Simulation results and practical implement demonstrate the advantages of the proposed control scheme.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2003年第9期186-188,共3页
Proceedings of the CSEE
基金
东南大学优秀青年教师教学科研资金资助。
