Title :
Hybrid neural-fuzzy control of the single-phase induction machine
Author :
Bouhoune, Kenza ; Yazid, Krim ; Boucherit, M.S.
Author_Institution :
Power & Ind. Syst. Lab., Univ. of the Sci. & Technol. Houari, Algiers, Algeria
Abstract :
The single-phase induction machine has the advantage of being powered by a single-phase voltage source. The availability of this power allows it to be widely used: electric household appliances, portable machine tools... However, this type of machine has not yet taken its whole share from various works present until now, in comparison with the three-phase asynchronous machine.
Keywords :
PWM invertors; asynchronous machines; fuzzy control; fuzzy neural nets; machine vector control; neurocontrollers; PWM inverter; artificial intelligence; electric household appliances; electromagnetic torque; fuzzy logic; hybrid neural-fuzzy control; load torque; neural network; portable machine tools; rotor flux; single-phase induction machine; single-phase voltage source; speed rung; three-phase asynchronous machine; vector control; Induction motors; Robustness; Rotors; Simulation; Stators; Torque; fuzzy logic; hybrid control; neural networks; neural-fuzzy approach; single-phase induction machine; two-phase inverter;
Conference_Titel :
Communications, Computing and Control Applications (CCCA), 2011 International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4244-9795-9
DOI :
10.1109/CCCA.2011.6031398
