一种基于PFLC的可演化模糊逻辑控制器设计与实现

常规的模糊控制器主要通过计算机软件或单片机实现，但模糊控制器是一个高度并行的系统，实时性、自适应性要求较高，这种实现方式不能满足现代模糊控制器的设计要求。要解决这个问题必须从算法和器件结构入手。本文提出以可编程模糊逻辑控制器芯片（PFLC）作为可演化的部件，利用遗传算法优化生成模糊规则的演化硬件结构。模糊规则的自适应性是通过引入可调整因子，根据环境的变化自寻优获得。以典型二阶系统模糊控制为例进行仿真实验，其结果表明了这个可演化的模糊逻辑控制器结构的可行性。

Design and Implementation of an Evolutionary Fuzzy Logic Controller Based on PFLC

The most common implementation of Fuzzy Logic Controller(FLC)rely on software or microprocessors;however,since FLC admit a high degree of parallelism system and high real-time,high self-adaptability,This way is not suitable to performance of design.There are two ways to solve this problem.One is to design EHW-oriented algorithms such as variable Genetic algorithm(GA);another way is to design new devices structure which meets the requirements of Evolvable Hardware(EHW).In this paper,an EHW platform is proposed.This platform,which can be used for the implementation of the designed fuzzy system,is based on a programmable fuzzy logic controller(PFLC),and use GA to optimize fuzzy rule.The performance of a fuzzy system in the control of a two-order system is evaluated.The results obtained show the applicability of this platform in the design of fuzzy control systems.