{'fraction_non_alphanumeric': 0.009408602150537635, 'fraction_numerical': 0.0, 'mean_word_length': 5.592920353982301, '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}}
INTERNAL MODEL BASED FRAMEWORK FOR TRACKING AND FAULT TOLERANT CONTROL OF A PERMANENT MAGNET SYNCHRONOUS MOTOR

Abstract In this paper an adaptive internal model based control scheme is designed to deal with tracking and input disturbance suppression problems for a permanent magnet synchronous motor. More in detail we show how to design a controller able to guarantee the perfect asymptotic tracking of unknown exogenous trajectories belonging to a certain family, embedding in the regulator the internal model of this family; the theoretical machinery exploited in order to prove the global asymptotical stability of the solution exposed is the nonlinear output regulation theory, specialized for the energy-based port-Hamiltonian formalism.