摘要
延迟时间的变化可能会引起控制品质的恶化 ,甚至使系统不稳定。利用灰色预测控制不需要掌握被控对象模型结构的先验信息 ,具有很强的自适应性的优点 ,同时利用神经网络辨识延迟系统的延迟时间来在线调整灰色预测控制器的参数 ,将二者结合用于有不确定性延迟时间的大延迟系统的控制。仿真结果表明这种控制策略具有很好的控制效果 。
The variations in the delayed time in time delay systems will result in worsen control quality.The delayed time can be identified by neural network.Combining the neural network identification method of delayed time and the gray predicative control which doesn't need a priori knowledge about the plant and its parameter is adjusted by the identification result online,it is applied to the control of system with unknown delayed time.The simulation results show that this control strategy is of better performance.
出处
《测控技术》
CSCD
2002年第3期39-41,共3页
Measurement & Control Technology
基金
国家教育部留学回国人员基金
跨世纪优秀人才培养计划基金资助
关键词
灰色预测
神经网络
时滞系统
延迟时间
辨识
预测控制
gray predicative
neural network
time delay system
identification of delayed time
