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In this study, a new approach based on adaptive dynamic programming (ADP) is proposed to control single-phase uninterruptible power supply inverters. The control scheme uses a single function approximator, called critic, to evaluate the optimal cost and determine the optimal switching. After offline training of the critic, which is a function of system states and elapsed time, the resulting optimal weights are used in online control, to get a smooth output AC voltage in a feedback form. Simulations show the desirable performance of this controller with linear and non-linear loads and its relative robustness to parameter uncertainty and disturbances. Furthermore, the proposed controller is upgraded so that the inverter is suitable for single-phase variable frequency drives. Finally, as one of the few studies in the field of ADP, the proposed controllers are implemented on a physical prototype to show the performance in practise.

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In this study, approximate dynamic programming is utilized to devise an optimal procedure in order to convert DC voltage to single-phase AC voltage. In order to determine the optimal policy, a function approximator, called critic, is used. The critic, which is defined to be a function of system states and elapsed time, is tuned once offline and then used in feedback control to achieve the desired AC voltage. Simulations show that the proposed controller not only performs successfully with linear and highly nonlinear load, but also has some relative robustness to parameter uncertainty and disturbances.

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