{'fraction_non_alphanumeric': 0.01551094890510949, 'fraction_numerical': 0.0, 'mean_word_length': 5.568862275449102, '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}}
Weighting Factors Tuning Method in Explicit Model Predictive Direct Speed Control of Permanent Magnet Synchronous Motor

To solve the problem that it's difficult to tune the weighting factors of the cost function in the explicit model predictive direct speed control strategy for permanent magnet synchronous motors (PMSMs), this paper proposes a unified method for tuning multiple weighting factors. First, the effective constraint matrices of the control system under typical working conditions are derived, and the optimal control laws and closed-loop transfer functions in the corresponding critical regions are calculated. Then trajectories of the closed-loop poles are drawn and the ideal segments are defined. Finally, combining the physical meaning of weighting factors and the characteristics of PMSMs, the weighting factors selection formulas that can configure the closed-loop poles on the ideal segments are proposed for the first time. This method greatly reduces the tuning time and optimizes the control performance. Its superiority is verified through simulations and experiments.