Adaptive backstepping controller design for DC/DC buck converter optimised by grey wolf algorithm

A Lypunov-based Adaptive Backstepping Control (ABSC) approach is designed for a power Buck converter. This strategy an advanced version of the method utilising Lyapunov stability function to reach higher and better disturbance rejection behaviour in practical applications. In addition, reduce computational burden increase ease implantation, Black-box technique considered assuming no accurate mathematical model system. Nonetheless, real-time environments, disturbances with wider ranges including: supply voltage variation, parametric noise can negatively impact operation this method. To compensate problem, gains controller should be tuned again adaptability working condition. Therefore, satisfy need enhance controller's performance, metaheuristic algorithm applied control scheme called Grey Wolf Optimisation (GWO) algorithm. GWO well-behaved nature-inspired faster decision-making dynamics along more accuracy over different optimisation algorithms. elaborate merits approach, conventional BSM PSO-based PID schemes are also tested situations.