Intelligent control for high performance drives

A new generation of control based on intuition and judgments has emerged. Researchers have given a collective name for this type of control"intelligent control." The main advantages of this control are its simplicity, adaptability and performance. Complex nonlinear mapping of system\´s dynamics through terminal characteristics can be obtained without the need for structured models. These controllers can implement design objectives that are difficult to express mathematically in linguistic or descriptive rules. The superior noise rejection capability and the tolerance to the system fluctuations are some of the key advantages over the classical control. They tend to be fast simple and straightforward designs. This paper summarizes two of the most common intelligent controls: fuzzy control and neural network control, with the emphasis on their application to high performance electric drives