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Abstract

Power Electronics converters are finding growing applications in industries and house hold devices. The growing automation in industrial applications needs highly complex power electronics systems to process the electric power. The controls of power electronic converters are still posing challenges due to their required precision. Several control strategies are developed and reported in the literature including Pulse Width Modulation (PWM), model predictive control, sliding mode control etc. The development of computational intelligence techniques are artificial intelligence, fuzzy logic, adaptive neuro-fuzzy inference system, genetic algorithms etc. The basic idea is to incorporate the human intelligence in the control system so it makes intelligent decisions. The paper presents an over-view of the application of computational intelligence techniques for control of power electronic converters. Computational Intelligence (CI) has been in focus for quite long time, and it is well known that CI techniques can help in solving complex multidimensional problems which are difficult to solve by conventional methods. Computational Intelligence technology is growing rapidly and its applications in various fields is being tested. Power electronics converters is one of the major application areas where this technology can play a vital and decisive role. Recent development of powerful digital signal processors and field programmable gate arrays is making implementation of Computational Intelligence technology economical with improvement of performance, compact and more competitive. Evidently, the future impact of this CI technology on power electronics converter control is very significant and utilizable.

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/content/papers/10.5339/qfarf.2012.CSP41
2012-10-01
2019-10-18
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