第 2 章 Fuzzy Control:The Basics 教学内容 本章是模糊控制理论的基本内容,通过本章的学习,应该掌握模糊控制系统设计和分析的基本方法 和步骤。 教学重点 模糊控制器的组成、语言变量和语言值的定义、模糊运算、模糊推理方法、模糊隐含、控制算法表 格的建立直至解模糊。 教学难点 对“函数模糊系统”定义的准确把握和理解,以及函数模糊系统的通用近似特性的理解。 教学要求 主要掌握语言描述、模糊运算、模糊推理方法、模糊隐含、控制算法表格的建立直至解模糊。掌握 模糊控制器的一般设计步骤和过程。 Overview Questions: Why do we select fuzzy controllers in many real-world systems? How much of the ess can be attributed to the use of the mathematical model and conventional control design approach? How much should be attributed to the clever heuristic tuning that the control engineer uses upon implementation? If we exploit the use of heuristic information throughout the entire design process, can we obtain higher performance control systems? What is a fuzzy posed of ? How do we design a fuzzy controller? Whether do we need a model in fuzzy control? What are the performance evaluation of fuzzy control? What should we pay attention in fuzzy controller design? What areas does fuzzy controller apply to ? What, then, is the motivation for turning to fuzzy control? Basically, the difficult task of modeling and simulating complex real world systems for control systems development, especially when implementation issues are considered, is well documented. Even if a relatively accurate model of a dynamic system can be developed, it is often plex to use in controller development, especially for many conventional control design procedures that require restrictive assumptions for the plant (., linearity). Why do we select fuzzy controllers in many real-world systems?It is for this reason that in practice conventional controllers are often developed via simple models of the plant behavior that satisfy the necessary assumptions, and via the ad hoc(special) tuning of relatively simple linear or nonlinear controllers. Regardless, it is well understood (although sometimes forgotten) that heuristics enter the conventional control
