A comparative study on direct torque control algorithms applied to a doubly fed induction generator

Abstract

This paper provides a comparison between two direct torque control techniques which can be applied to the doubly fed induction generator; direct torque control using the switching table and model predictive direct torque control. Direct torque control using the switching table is a favorable control algorithm, due to its simplicity. However, it is known to produce unfavorable results. Finite Control Set Model Predictive Control is an emerging tool in the electrical drives industry. It is a simple control method; it is void of complex parameter tuning. The aim of the research is to investigate the effectiveness of model predictive direct torque control as an alternative to direct torque control using the switching table. The relevant theory, research methodology and results of implementation are provided. The control strategies are analyzed in terms of steady state and dynamic response, as well as the quality of stator currents. An in-depth comparison between the two control algorithms is provided.