Genetic algorithms based design technique of sine wave filters for AC motor drives

This paper proposes a suitable design methodology of output inverter filter for AC motor drives, normally presented on the market as sine wave filter (SWF), that allows to achieve the best tradeoff among different design constraints. Such an approach is able to simultaneously consider many technical issues such as filter voltage drop, total harmonic distortion of currents and voltages, filter losses, as well as economic aspects which are difficult to include in standard design methods. The proposed procedure selects the optimal filter configuration by exploiting genetic algorithms and accurate model of the electrical drive through simulations. Hence, no rough approximations or complex analytical calculation are performed to design the SWF. The method has been validated by means of various tests performed on two different induction motor drive power systems, considering some significant design constraints scenario.