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A Comparative Analysis and Performance Evaluation of an Improved Novel Hybrid PI Based Fuzzy Logic Controller for Induction Motor Speed Regulation

Year: 2025
Type: conference-paper
Abstract: A 45-year review of the literature on power electronics and electrical machines reveals a recurring pattern of circuit construction, loss, and reinvention. The concerns need to be addressed because they have resulted in substantial time and effort waste, continuous legal conflicts, the long-term loss of good ideas, and ongoing losses of time. With the aid of comparison analysis and performance evaluation utilizing a hybrid proportional plus integral (PI) based fuzzy logic controller (FLC), this research paper provides speed regulation of induction motor (IM) drives Multi converter designs are widely employed in highpower applications, according to an analysis of the power electronics and industrial controls literature published over the preceding three decades. The development of induction machine drive technology for future applications involves a number of difficulties, both present and emerging. Industrial best practices for induction motor torque management are emerging, including FLC, field-oriented control (FOC) and direct torque control (DTC). The speed regulation method is frequently required in the energy-saving control system in order to start and stop the equipment. These techniques are regulating speed for both electrical and mechanical. This research seeks to contribute to a comprehensive comparison and performance evaluation of increased speed regulation of induction motor utilizing PI based FLC in MATLAB/Simulink. MATLAB/Simulink software was utilized in the design of the suggested controller, which underwent testing under a range of operating situations, such as rapid changes in reference speed and load disturbance. The transient response to step adjustments in the torque and flux command, as well as torque and current ripple, are assessed for PI-based fuzzy logic speed control methods for induction motors. The suggested controller performed better than the traditional PI controller, according to the results.
Language: English
Open Access status: gold
OpenAlex ID: W4412188167
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