Adaptive Super-Twisting Sliding Mode Control of a BLDC Motor Speed Control

In this paper, an adaptive super-twisting algorithm is introduced for controlling a Brushless DC motor (BLDC) drive system. The main focus of this study is the assumption that the bounds of uncertainties and perturbations are unknown. The proposed control strategy employs dynamically adapted control gains to ensure the controller's finite-time stability. A key aspect of the adaptation algorithm is its ability to avoid the overestimation of the control gain values. The controller's effectiveness is demonstrated through simulation and experiments on a test setup.