ABSTRACT
This chapter discusses some basics of fuzzy logic and neural networks, with a few successful applications in the area of energy systems, power electronics, power systems, and power quality. Every design starts with the process of thinking, i.e., a mental creation, where people will use their linguistic formulation, with their analysis and logical statements about their ideas. Artificial neural networks (ANNs) have a wide range of applications that span across science, art, engineering, data analysis, and many diverse fields. Energy conversion systems have two features that define requirements for advanced control systems: unconstrained energy systems and constrained energy systems. Classic and digital controls have several methods for designing controllers used in dynamic systems. Optimization is always an important activity for real-world applications. One important application of online optimization is for flux programming of induction generator-based energy systems. Neural networks are very powerful algorithms for real-world approximation problems, which can be algebraic solutions or state-space ones.
