Artificial intelligence based vector control of induction generator without speed sensor for use in wind energy conversion system

Abstract

Indirect field oriented control (IFOC) of squirrel-cage induction generator (SCIG) with full capacity power converter used in wind energy conversion system (WECS) is presented in this paper. In order to improve WECS reliability robust IFOC algorithm using artificial intelligence (AI) for speed estimation was developed. Estimated speed is used for realization of maximum power tracking algorithm (MPPT). Practical testing and validation of considered estimation techniques is performed using advance laboratory prototype of WECS. Extensive experimentation is conducted in order to verify efficiency and reliability of proposed speed-sensorless control technique under realistic WECS operating conditions. The experimental results show the high level of performance obtained with the proposed speed-sensorless vector control method. Introduction of AI improved dynamics characteristics of WECS making proposed control method suitable for commercial application.