Multiobjective genetic algorithm for three-phase PWM inverter in microturbines

Abstract:

In this article, authors present a new design method for PWM inverters in microturbines by using a multiobjective genetic algorithm. More precisely, the design problem is converted to an equivalent optimization problem, and then a multiobjective genetic algorithm is adopted to find a solution. The genetic algorithm is proposed to design a fuzzy controller. In this genetic algorithm approach, an individual is constructed to represent the fuzzy controller. A short coded string is proposed such that it is associated with an individual can map, a fuzzy controller structure, including the membership functions, and the scaling factors. Multiobjective genetic algorithm confers a number of advantages over conventional multiobjective optimization methods by evolving a family of Pareto-optimal solutions rather than a single solution estimate. This optimal fuzzy controller is suitable for the specific harmonic elimination pulse width modulation technology, as demonstrated by the examples given in this article. Copyright © Taylor & Francis Inc.

Año de publicación:

2005

Keywords:

• Multiobjective genetic algorithms
• Gas turbines
• Pulse width modulated inverters

Fuente:

scopus