Genetic algorithm-based terminal complex sliding manifold controller for UPS inverter applications

This paper presents a terminal complex sliding manifold controller for UPS inverters. Compared to classic sliding manifold control (SMC), terminal sliding manifold control (TSMC) not only has robustness to system uncertainties but also finite system state convergence time. However, in sliding action, the system dynamics is a reduced-order dimension, thus losing the partial system dynamics, and the system performance deteriorates. For recovering incomplete system response, a terminal complex sliding manifold control (TCSMC) is designed to compensate the closed-loop system dynamics. However, the chatter still exists in TCSMC. For UPS inverter applications, the chatter causes high voltage harmonics. To lessen the chatter, the genetic algorithm (GA) is adopted to tune TCSMC´s gains well. With the proposed controller, the output voltage of the UPS inverter yields the features of low distortion, and is insensitive to system uncertainties. Experimental results reveal that the proposed controller can achieve good system performance.