{'fraction_non_alphanumeric': 0.022377622377622378, 'fraction_numerical': 0.0, 'mean_word_length': 4.774193548387097, '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}}
Model Transfer and Fuzzy PID Control of Mach Number of Wind Tunnel Flow Field

In the process of wind tunnel experiments, it is often necessary to change the working condition of the wind tunnel. For the system which only uses the traditional PID controller, if the PID parameters are not adjusted in time, the control effect may become worse. Therefore, in this paper, first, for the working conditions with only a small number of data, transfer models are established and applied. Then, on the basis of PID control system, fuzzy controller is added to improve the control system. In addition, in the process of finding the optimal parameters of migration, genetic algorithm is used to achieve global optimization.