TY - JOUR
T1 - Simulation Analysis and Experimental Evaluation of Improved Field-Oriented Controlled Induction Motors Incorporating Intelligent Controllers
AU - Mehedi, Ibrahim Mustafa
AU - Saad, Nordin
AU - Magzoub, Muawia Abdelkafi
AU - Al-Saggaf, Ubaid M.
AU - Milyani, Ahmad H.
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Digital signal processing
KW - genetic algorithm
KW - hybrid fuzzy-fuzzy control
KW - induction motor
KW - reliable auxiliary circuits
UR - http://www.scopus.com/inward/record.url?scp=85124729326&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2022.3150360
DO - 10.1109/ACCESS.2022.3150360
M3 - Article
AN - SCOPUS:85124729326
SN - 2169-3536
VL - 10
SP - 18380
EP - 18394
JO - IEEE Access
JF - IEEE Access
ER -