摘要
根据混沌非线性、大时滞系统的时间序列及所得的Lyapunov指数规律,计算出系统的可预报尺度,对系统做了高精度预测;在此基础上,将聚类算法和模糊控制相结合,设计了一种新型的聚类自适应模糊预测控制器。将该控制器应用于锅炉的单元机组负荷控制系统中,实现了对非线性和大时滞系统的自适应控制。结果表明,该方案的适应性、实时性都很强,具有很强的工程实用价值。
Predictable measure of system is calculated and prediction of the system is made by time series of nonlinear big-lagged system and regularities of Lyapunov exponent. On the basis of this, combining fuzzy control with clustering algorithm, a new clustering adaptive fuzzy prediction controller is designed. While the controller is applied to controlling system about unit load of boiler, adaptive control of nonlinear big-lagged system is realized. The simulation shows that the project has good adaptability, reality and practicability in engineering.
出处
《电机与控制学报》
EI
CSCD
北大核心
2003年第3期260-263,共4页
Electric Machines and Control
关键词
聚类
自适应模糊控制器
设计
混沌预测模型
chaotic prediction
fuzzy control
Lyapunov exponent
adaptive control
