AI-based MPPT-Controllers Derived by GA Optimization for PV System - Wongsathan, Rati
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Beyond the conventional design, the AI-based MPPT-controllers, i.e., neural network, fuzzy logic, and neuro-fuzzy, derived by the MOGA optimization for the standalone and grid-connected PV powered system have been described in step-by-step in this book. This may be a new idea to optimize the performances of the controllers and simultaneously to maximize the overall system efficiency of the PV system applications.

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Produktbeschreibung
Beyond the conventional design, the AI-based MPPT-controllers, i.e., neural network, fuzzy logic, and neuro-fuzzy, derived by the MOGA optimization for the standalone and grid-connected PV powered system have been described in step-by-step in this book. This may be a new idea to optimize the performances of the controllers and simultaneously to maximize the overall system efficiency of the PV system applications.
Autorenporträt
Rati Wongsathan was born in Lamphun. He successfully completed three degrees: B. Eng. (Hons.) and M. Eng. (Electrical Engineering), and M. Sc. (Applied Mathematics) at Chiangmai University, Thailand. As a scholar, he continued for pursuing a Ph. D. at KMITL, Bangkok Thailand. His research includes AI controllers and Channels model and equalization.