期刊
IEEE ACCESS
卷 10, 期 -, 页码 18380-18394出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2022.3150360
关键词
Genetic algorithms; Induction motors; Frequency control; Optimization; Torque; Steady-state; Control systems; Digital signal processing; genetic algorithm; hybrid fuzzy-fuzzy control; induction motor; reliable auxiliary circuits
资金
- Deputyship for Research & Innovation, Ministry of Education and King Abdulaziz University, Jeddah, Saudi Arabia
This work discusses the simulation and experimental demonstration of a genetic algorithm hybrid fuzzy-fuzzy controller (GA-HFFC) system to achieve speed control of a variable-speed induction motor (IM) drive based on a space vector pulse width modulation (SVPWM) technique. The proposed control approach, utilizing field-oriented control (FOC) principles and fuzzy controllers, shows practicality and effectiveness in diverse operating conditions.
This work discusses the simulation and experimental demonstration of a genetic algorithm hybrid fuzzy-fuzzy controller (GA-HFFC) system to achieve speed control of a variable-speed induction motor (IM) drive based on a space vector pulse width modulation (SVPWM) technique by means of an eZdspF28335 digital signal processing (DSP) experiment board. Two features of field-oriented control (FOC) were used to design the GA-HFFC, namely, the current and frequency. To overcome the limitations of the FOC technique, the principles of the GA-HFFC were introduced through the acceleration-deceleration stages to regulate the speed of the rotor with the help of a fuzzy frequency controller, while a fuzzy stator current amplitude controller was involved during the steady-state stage. The results revealed that the proposed control approach could deliver a practical control solution in the presence of diverse operating conditions.
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