An Improved Adaptive Finite-Time Super-Twisting Sliding Mode Algorithm for Dc-Dc Buck Converters

Abstract

In order to improve the immunity and stability of dc-dc converters in industrial production, a discrete adaptive super-twisting sliding mode algorithm is proposed in this paper. Firstly, a linear gain term is introduced into the conventional algorithm to improve discrimination accuracy of the system. Secondly, for the complexity and constraints of the gain parameters in the sliding mode algorithm, this paper designs a voltage-based time-varying function instead of multiple gains in the model, and demonstrate the stability of the proposed finite-time observer algorithm through Liapunov stability theorem. Finally, simulations and experiments were conducted on the proposed algorithm, demonstrating that the finite time super twist sliding mode control algorithm proposed in this paper can effectively reduce the impact of load changes on the output voltage.