Variable Speed Drive Applications Performing Effectively with ANN Technique

Abstract

The Preservation of Variable Speed Drives at ripple and harmonic less output functions at different applications application are vital. The Variable Speed Drive applications involve the use of different converter topologies, which makes the system to reduced efficiency and leads to reduced performance. The advancement of power electronics helps to develop control schemes that are proficient at achieving Variable Speed Drives with low harmonics and ripples. Various control topologies are proposed elsewhere in the world to achieve effective variable speed drive performance. The merits and demerits of each control strategy may differ from those of others. Artificial Neural Network (ANN) based technique is made a significant importance in recent years and showing enhanced performance variation compared to other existing control strategies. This paper presents the design of 15 level inverter circuits and functioned using Artificial Neural Network (ANN) control technique to obtain the effective performance for various speed drive applications. Also, this paper presents the Space Vector Pulse Width Modulation (SVPWM) control technique and Fuzzy Logic Control Techniques to same 15 level multilevel inverter circuit. The results of ANN, SVPWM and Fuzzy Logic techniques are compared and made suggestions on suitable effective control technique for variable speed drive applications. Artificial Neural Networks are significantly better understood in terms of their effectiveness in optimizing variable speed drive systems, improving efficiency and performance.