模糊离散事件系统的自适应监督控制

Adaptive supervisory control of fuzzy discrete event systems

针对基于模糊自动机的模糊离散事件系统模型在实际工程应用中的不足,从产生式规则出发,建立了该类系统的模糊规则化模型。通过定义结构化的模糊因子并以其构成模糊规则,实现了对模糊状态转移函数的描述。提出了一种包含模糊监控器和模糊控制器的系统闭环监控结构,并针对模糊推理环节给出了具体的实现方法。通过定义一种可动态调整的模糊规则允许发生度,实现了系统的自适应监控机制。借助电动汽车电池均衡管理系统对方法进行了验证。结果表明,系统的运行过程符合预定的目标。

Aiming at the deficiency of fuzzy discrete event system model based on fuzzy automata in the actual engi- neering application, starting from the production rules, this paper constructs the fuzzy rule-based model for this kind of system. By defining a structured fuzzy factor and using it to form the fuzzy rule, the fuzzy state transition function is established. This paper proposes a closed-loop system supervisory control structure,which includes a fuzzy supervisor and a fuzzy controller;and presents the realization method for the fuzzy inference process. By defining an occurrence degree of fuzzy rules that can be adjusted dynamically, the adaptive supervisory control mechanism is realized. An ex- ample of the battery equalization management system for electric vehicle was used to verify this method. The results show that the operation of the system is in accordance with the predetermined objectives.