OPTIMAL PREDICTIVE CURRENT CONTROL OF A QUANTUM SERIES RESONANT INVERTER AND APPLICATION AS A DC MOTOR DRIVE

Abstract

A quantum series resonant inverter (QSRI) is utilized as a DC motor drive. A sampled-data dynamic model including both a QSRI and a DC motor is proposed to obtain an effective analytical tool. Based on this model, an optimal predictive resonant current (OPRC) control technique that minimizes the current error is developed and compared with other types of current control techniques. In respect of the current ripple and offset current, near optimum operational mode patterns can be obtained using the proposed OPRC control technique. The usefulness of an OPRC-controlled QSRI for a DC motor drive with four-quadrant operation is verified by employing motor current and speed controllers in simulation and experiment.