ABSTRACT
Fuzzy logic happened to find a prominent place in control systems for a variety of reasons, both rigorous as well as matter-of-fact. Products with fuzzy logic monitor user-defined settings, for instance autofocus in DSLR cameras, and then automatically set the equipment to function at the user’s preferred level for a given task. The literature abounds in papers and books pertaining to fuzzy control systems. The chapter presents a case that demonstrates the flexibility and reasonable accuracy of a typical application in fuzzy control. It explains the classical fuzzy control and incorporated the second generation fuzzy logic, the type II fuzzy logic, capable of also handling uncertainties, thus allowing us to design real robust control systems. While conducting the simulation, characteristics such as uncertainties, noise, and transport delay were not modelled to optimize the fuzzy controller parameters. One can readily talk about newer generations of fuzzy logic controllers being based on the integration of conventional and fuzzy controllers.
