Integral Sliding Mode Control for DFIG Based Wind Energy Conversion System Using Ant Colony Optimization Algorithm

This paper presents a robust control method for controlling the powers of a wind turbine based on a doubly fed induction generator (DFIG) using an integral sliding mode control (ISMC). The sliding gain of the proposed controller is optimized through an artificial intelligence algorithm called ant colony optimization (ACO). The proposed controller is compared to the conventional PI controller in which the ACO is also used to tune the kp and ki gains (ACO_PI). The simulation results indicate that the proposed ACO_ISMC controller has high accuracy, fast response time, and minimal integral time absolute error (ITAE) compared to the ACO_PI controller. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.