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Finite control set model predictive control evaluates a predefined cost function for each switching state of power converter. In addition to reference tracking term, cost function can include a term for switching frequency reduction. Small value for the weighting factor of switching reduction term cannot reduce switching frequency effectively and the great value results in reference tracking failure and increase current ripple. In this study a variable weighting factor based on current ripple is obtained and applied to the cost function. The value of weighting factor changes with the position and magnitude of reference voltage. Simulation and experimental results verify the effectiveness of proposed method.

This research tends to provide a novel exploration state for finite control set-model predictive control. The aim of this study is to reduce the line current ripple at a given average switching frequency. The proposed method with hybrid exploration state divides the space vector plane into two regions. Each conventional exploration state is applied to a region, which would result in a lower root mean square current ripple. The above-mentioned procedure is based on the calculation of the stator flux ripple in the stationary reference frame during the sampling time. Consequently, a simple expression based on the magnitude and the phase angle of the reference voltage vector will be obtained, which can be employed as a measure for the current ripple. The superior performance of the proposed method over the conventional exploration state methods is verified by the theoretical results and the experimental tests.

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To reduce the torque ripple of permanent magnet synchronous motor with non-sinusoidal flux distribution, a new method is presented in this study. This method is based on model predictive control (MPC). MPC is a modelbased control and requires an accurate model of the motor. A sliding mode observer, accompanied with a recursive least square estimator, is utilised to determine the magnitudes of the harmonics of the back electromotive force (EMF) waveforms. The appropriate current harmonics, considering the back EMF harmonics, are injected to shape the motor current. The interaction of non-sinusoidal back EMF and the shaped current leads to torque ripple reduction. The experimental results verify the effectiveness of the proposed method.

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