文档介绍：Chapter 2 Fuzzy Control
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Fuzzy Control: The Basics
Overview
Fuzzy Control: A Tutorial Introduction
General Fuzzy System
Simple Design Example: The Inverted Pendulum
Simulation of Fuzzy Control System
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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?
How do we design a fuzzy controller?
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Questions
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?
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Overview
What is the motivation for turning to fuzzy control? Basically, the difficult task of modeling and plex 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).
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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 design process as long as you are concerned with the actual implementation of the control system. It must be acknowledged, moreover, that conventional control engineering approaches that use appropriate heuristics to tune the design have been relatively essful.
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