Emergence of an Improved Version of the PSO Technique for Optimization of Damped Input Filter for Direct Matrix Converter

The recent advances in the technology of semiconductor devices, electronic boards, and micro-computing have contributed to the emergence of new generations of power converters. In this context, the direct matrix converter (DMC) has been proposed as a promising solution to improve the performance of drive and power generation systems since this latter allows a direct conversion, adjustable power factor, and compact dimensions. However, harmonic filtering is a severe problem for this type of converter concerning choosing the appropriate filter topology and identifying its optimal parameters. The present work proposes a new approach for the optimal design of the passive input filter associated with the DMC through the emergence of an improved version of the particle swarm optimization (PSO) algorithm. In this context, a simulation study was carried out to evaluate the effectiveness of the proposed optimization method by considering two topologies of the damped passive input filter for the DMC controlled by the Venturini and SVM techniques. The obtained results confirm the effectiveness of the proposed optimization method compared to traditional methods, especially regarding the short execution time and optimal filter design (compliant with IEEE standards THD < 5%), avoiding calculation errors caused by humans.