@article{scholars17758,
           title = {Simulation Analysis and Experimental Evaluation of Improved Field-Oriented Controlled Induction Motors Incorporating Intelligent Controllers},
          volume = {10},
            note = {cited By 9},
             doi = {10.1109/ACCESS.2022.3150360},
       publisher = {Institute of Electrical and Electronics Engineers Inc.},
         journal = {IEEE Access},
           pages = {18380--18394},
            year = {2022},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124729326&doi=10.1109\%2fACCESS.2022.3150360&partnerID=40&md5=248b5eaecb88bdcca0c505a0b28204eb},
        keywords = {Controllers; Digital signal processing; Fuzzy control; Genetic algorithms; Pulse width modulation; Timing circuits; Variable speed drives; Vector control (Electric machinery); Vector spaces; Voltage control, Analysis evaluation; Auxiliary circuits; Experimental evaluation; Field oriented controlled; Field-oriented control; Fuzzy controllers; Hybrid fuzzy-fuzzy control; Inductions motors; Reliable auxiliary circuit; Simulation analysis, Induction motors},
        abstract = {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. {\^A}{\copyright} 2013 IEEE.},
          author = {Mehedi, I. M. and Saad, N. and Magzoub, M. A. and Al-Saggaf, U. M. and Milyani, A. H.},
            issn = {21693536}
}