{'fraction_non_alphanumeric': 0.018743109151047408, 'fraction_numerical': 0.0, 'mean_word_length': 4.858064516129033, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Simplified Finite Set Model Predictive Control with DC Link Voltage Prediction for the Approach of Electric Vehicle Applications

The variation of the DC-link voltage is one reason for the torque ripple in the induction motor drives. This issue is more important in electric vehicle applications. Flux weakening during the acceleration is a solution for this problem. On the other, the application of the finite set model predictive control (FS-MPC) is suggested to improve the side effects of the flux weakening. However, implementing the predictive control without accessing to the next step DC voltage will reduce the merit of this method. In this method, a recursive DC-link voltage prediction is applied to the simplified FS-MPC which is enforced by the voltage drop compensation in order to improve the steady-state response of the method. The validity of the method is verified by simulation results.