摘要
将聚类算法和模糊控制相结合,提出了一种新型的聚类自适应模糊控制器,应用于非线性、多干扰和强耦合的锅炉给水系统中,并用改进的遗传算法将模糊控制器的隶属参数进行优化。仿真表明该方案的适应性、实时性、鲁棒性都很强,具有很强的工程实用价值。
Based on the combination of clustering algorithm and fuzzy control, a kind of new clustering adaptive fuzzy controller is designed and is applied to nonlinear strong coupling water supply system of drum boiler. Its subjection parameters are optimized by genetic algorithms improved. Simulation results show the project has good adaptability and strong robustness. The results show that efficiency prospects for its further applications.
出处
《汽轮机技术》
北大核心
2003年第2期82-84,共3页
Turbine Technology
