模糊控制理论的研究进展及其在铁路货物列车自动化控制系统中的应用

综述模糊控制理论研究的进展。分析模糊控制器的解析结构,分析模糊控制系统的函数逼近能力的稳定性,分析模糊控制技术与其它软计算方法如神经网络、遗传算法的结合。研究模糊控制技术与遗传算法相结合在铁路货物列车自动化控制系统中的应用,货物运输的自动控制属于多目标系统控制,通过对模糊PI控制器最敏感的参数,如比例因子和隶属度函数等进行寻优,使系统性能得到了显著改善。

Development of Fuzzy Control Theory and its Applications to Freight Train Automatic Control System

The development of fuzzy control theory is summarized, including its analytic structure analysis, (stability) of function, approximate ability, hybridization of control technology with other soft compute (technologies) such as Neural Networks and Genetic Algorithm, and the applications of the combination of control technology with GA to automatic train control system of freight traffic. The automatic control of freight traffic is in the category of multiple-object system control. The most sensitive parameters of fuzzy PI controller (scaling factor and affiliation level function) are optimized so that the system performance is improved dramatically.