naa a22 4500 510731643 CHVBK 20180411082955.0 cr unu---uuuuu 180411e20131201xx s 000 0 eng 10.1007/s11708-013-0264-8 doi (NATIONALLICENCE)springer-10.1007/s11708-013-0264-8 Comparative study of various artificial intelligence approaches applied to direct torque control of induction motor drives [Elektronische Daten] [Moulay Douiri, Mohamed Cherkaoui] In this paper, three intelligent approaches were proposed, applied to direct torque control (DTC) of induction motor drive to replace conventional hysteresis comparators and selection table, namely fuzzy logic, artificial neural network and adaptive neuro-fuzzy inference system (ANFIS). The simulated results obtained demonstrate the feasibility of the adaptive network-based fuzzy inference system based direct torque control (ANFIS-DTC). Compared with the classical direct torque control, fuzzy logic based direct torque control (FL-DTC), and neural networks based direct torque control (NNDTC), the proposed ANFIS-based scheme optimizes the electromagnetic torque and stator flux ripples, and incurs much shorter execution times and hence the errors caused by control time delays are minimized. The validity of the proposed methods is confirmed by simulation results. Higher Education Press and Springer-Verlag Berlin Heidelberg, 2013 adaptive neuro-fuzzy inference system (ANFIS) nationallicence artificial neural network nationallicence direct torque control (DTC) nationallicence fuzzy logic nationallicence induction motor nationallicence Douiri Moulay Department of Electrical Engineering, Mohammadia Engineering School, Avenue IbnSina 765, Agdal Rabat, Morocco aut Cherkaoui Mohamed Department of Electrical Engineering, Mohammadia Engineering School, Avenue IbnSina 765, Agdal Rabat, Morocco aut Frontiers in Energy Springer Berlin Heidelberg 7/4(2013-12-01), 456-467 2095-1701 7:4<456 2013 7 11708 https://doi.org/10.1007/s11708-013-0264-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11708-013-0264-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Douiri Moulay Department of Electrical Engineering, Mohammadia Engineering School, Avenue IbnSina 765, Agdal Rabat, Morocco aut NATIONALLICENCE 700 1- Cherkaoui Mohamed Department of Electrical Engineering, Mohammadia Engineering School, Avenue IbnSina 765, Agdal Rabat, Morocco aut NATIONALLICENCE 773 0- Frontiers in Energy Springer Berlin Heidelberg 7/4(2013-12-01), 456-467 2095-1701 7:4<456 2013 7 11708 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer