{'fraction_non_alphanumeric': 0.025799793601651185, 'fraction_numerical': 0.0, 'mean_word_length': 5.339869281045751, '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}}
Predictive Control of a Two-Input Two-Output Current System for Permanent Magnet Synchronous Machines

This paper presents a generalized predictive control (GPC) algorithm for the two-input two-output (TITO) current system of a permanent magnet synchronous machine (PMSM). This formulation, suitable for TITO coupled systems, assumes the decoupling of the permanent magnet synchronous machine in the d-q frame by using a multivariable GPC algorithm. Thus, the performances of the current control system of PMSM are improved compared to the classic current control solution with SISO-PI controllers. Finally, the simulations were carried out to control the d-q currents of a PMSM using the proposed TITO-GPC algorithm and the results were compared with those obtained with the classical current control structure based on SISO-PI controllers, with and without zero cancelation. The corresponding data show the usefulness of the multivariable predictive control approach.