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This paper presents a model predictive torque control method for electrical drive systems. A two-step prediction horizon is achieved by considering the reduction of the torque ripples. The electromagnetic torque and the stator flux error between predicted values and the references, and an over-current protection are considered in the cost function design. The best voltage vector is selected by minimising the value of the cost function, which aims to achieve a low torque ripple in two intervals. The study is carried out experimentally. The results show that the proposed method achieves good performance in both steady and transient states.

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This paper presents a gain tuning method of the load torque compensator for direct speed control based on finite control set model predictive control (FCS‐MPC). In this method, the transfer function between the error in predicted speed and the load torque is constructed and used for gain parameter tuning of a load torque observer‐based prediction error correction. By using the proposed method, the stability and the responsiveness of FCS‐MPC with a load torque compensation can be improved without a fully simulating the electric drive systems and experiments. The simulation and experimental results obtained with a permanent magnet synchronous motor, fed by a two‐level three‐phase voltage source inverter, show that the tracking performance of the direct speed control tuned by the proposed method was excellent under load torque conditions. © 2020 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.