{'fraction_non_alphanumeric': 0.017616580310880828, 'fraction_numerical': 0.0010362694300518134, 'mean_word_length': 5.0375, '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}}
A sensor-less speed control of induction motor based on robust rotor flux observer

The induction motor is the principal source of the workhorse [1] in the industry. However, due to its high non linearity, a high-performance control of induction motor remains a challenge for the automation. In this paper, we present a robust solution for the observer and control of the induction machine taking into account the iron losses. The proposed technique is based on Lyapunov theory and application of the bilinear matrix inequalities framework. Thus, an adaptive mechanism is introduced to cover not only uncertainty parameters but also the rotor speed which is derived from the satisfaction of the first condition of the Lyapunov theory. The observer gain is calculated by solving the bilinear matrix inequality (BMI) to satisfy the second condition of Lyapunov. Some simulation results are given to demonstrate the robustness and performance of the proposed solution.