{'fraction_non_alphanumeric': 0.013869625520110958, 'fraction_numerical': 0.0, 'mean_word_length': 4.918032786885246, '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}}
Design and testing of self-tuned fuzzy PI controller for improved speed control and accelerating torque characteristics of a DC motor

A comparative study has been made incorporating PI and Fuzzy Logic Controllers in the design of a speed controller for a DC motor. Considering the merits and demerits of each of these, a self-tuned Fuzzy-PI hybrid controller has been proposed, to eliminate the setbacks of the former Controllers. The rationale for the above is provided by modeling a DC Motor in MATLAB Simulink and noting that better results are effectuated in terms of settling time, peak overshoot in speed and accelerating torque characteristics by subsuming the hybrid self-tuned Fuzzy PI Controller in the scheme.