@ARTICLE{Kiani_Babak_A_2022,
 author={Kiani, Babak},
 volume={70},
 number={4},
 journal={Bulletin of the Polish Academy of Sciences Technical Sciences},
 pages={e142050},
 howpublished={online},
 year={2022},
 abstract={This paper presents a novel method to overcome problems of finite set-model-based predictive torque control (MPTC) which has received a lot of attention in the last two decades. Tuning the weighting factor, evaluating a large number of switching states in the loop of the predictive control, and determining the duty cycle are three major challenges of the regular techniques. Torque and flux responses of deadbeat control have been developed to overcome these problems. In our method, firstly, the prediction stage is performed just once. Then, both the weighted cost function and its evaluation are replaced with only simple relationships. The relationships reduce torque ripple and THD of stator current compromisingly. In the next step, the length of the virtual vector is used to determine the duty cycle of the optimum voltage vector without any additional computations. The duty ratio does not focus on any relation or criteria minimizing torque or flux ripple. As a result, torque and flux ripples are reduced equally. The proposed duty cycle is calculated by using a predicted virtual voltage vector. Hence, no new computation is needed to determine the proposed duty cycle. Simulation and experimental results confirm both the steady and dynamic performance of the proposed method in all speed ranges.},
 type={Article},
 title={A computationally low burden MPTC of induction machine without prediction loop and weighting factor},
 URL={http://journals.pan.pl/Content/124022/PDF-MASTER/3092_BPASTS_2022_70_4.pdf},
 doi={10.24425/bpasts.2022.142050},
 keywords={MPTC, induction motor, duty ratio, voltage vector, look-up table, weighting factor},
}