Controlling the speed and flux of a dual stator winding induction motor using an emotional intelligent controller and integration algorithm

Controlling the speed and flux of a dual stator winding induction motor using an emotional intelligent controller and integration algorithm

The appropriate efficiency of a dual stator winding squirrel-cage induction motor (DSWIM) is obtained whenthe ratio of two frequencies feeding the machine is equal to the ratio of the number of poles. In the vector controlmethod, the estimation of flux at low speed is difficult. To solve this problem, researchers have benefited from thefree capacity of the two windings of the stator. This makes the motor deviate from its standard operating mode atlow speed. The main purpose of the present study is to reduce the power losses of the inverter units in the sensorlessDSWIM drive using the proposed control scheme at low speed. In this control scheme, the speed is estimated basedon the modified intelligent model reference adaptive system (MIMRAS) without estimating the stator resistance at lowspeed. The proposed methods were simulated in MATLAB/Simulink software, and the results of simulation confirmedthe assumptions.

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  • Muñoz AR, Lipo TA. Dual stator winding induction machine drive. IEEE T Ind Appl 2000; 36: 1369-1379. Guerrero JM, Ojo O. Total air gap flux minimization in dual stator winding induction machines. IEEE T Power Electr 2009; 24:787-795.
  • Basak S, Chakraborty C. Dual stator winding induction machine: problems, progress and future scope. IEEE T Ind Electron 2015; 62: 4641-4652.
  • Moayedirad H, Farshad M, Shamsi-Nejad MA. Making robustness and performance improvement of induction motor drive against common variations of motor parameters using intelligent controller based on emotional learning. Journal of Iranian Association of Electrical and Electronics Engineers 2017; 14: 103-118.
  • Moayedirad H, Shamsi-Nejad MA, Farshad M. Improvement of induction motor drive operation in low and high speeds using rotor flux compensation. Journal of Iranian Association of Electrical and Electronics Engineers 2012; 9: 59-64.
  • Arunachalam K, Srinivasan H, Muthuramalingam N. A novel NN based rotor flux MRAS to overcome low speed problems for rotor resistance estimation in vector controlled IM drives. Front Energy 2016; 10: 382-392.
  • Özsoy ES, Gökaşan M, Bogosyan S. Simultaneous rotor and stator resistance estimation of squirrel cage induction machine with a single extended Kalman filter. Turk J Electr Eng Co 2010; 18: 853-863.
  • İnan R, Barut M. Bi input-extended Kalman filter-based speed-sensorless control of an induction machine capable of working in the field-weakening region. Turk J Electr Eng Co 2014; 22: 588-604.
  • Aktaş M, Okumuş Hİ. Stator resistance estimation using ANN in DTC IM drives. Turk J Electr Eng Co 2010; 18: 197-210.
  • Alsofyani IM, Idris NRN. Simple flux regulation for improving state estimation at very low and zero speed of a speed sensorless direct torque control of an induction motor. IEEE T Power Electr 2016; 31: 3027-3035.
  • Alsofyani IM, Idris NRN. Lookup-table-based DTC of induction machines with improved flux regulation and extended Kalman filter state estimator at low-speed operation. IEEE T Ind Inform 2016; 12: 1412-1425.
  • Stojic D, Milinkovic M, Veinovic S, Klasnic I. Improved stator flux estimator for speed sensorless induction motor drives. IEEE T Power Electr 2015; 30: 2363-2371.
  • Samat AAA, Ishak D, Omar AM, Iqbal S, Raza MA. A new speed sensorless field oriented controller for PMSM based on MRAS and PSO. Journal of Electrical Systems 2016; 12: 565-573.
  • Moutchou M, Abbou A, Mahmoudi H. MRAS-based sensorless speed backstepping control for induction machine, using a flux sliding mode observer. Turk J Electr Eng Co 2015; 23: 187- 200.
  • Wu Z, Ojo O, Sastry J. High-performance control of a dual stator winding DC power induction generator. IEEE T Ind Appl 2007; 43: 582-592.
  • Ojo O, Wu Z. Speed control of a dual stator winding induction machine. In: IEEE 2007 20th Applied Power Electronics Conference; 25 Feb.–1 March 2007; Anaheim, CA, USA. New York, NY, USA: IEEE. pp. 229-235.
  • Novotny DW, Lipo TA. Vector Control and Dynamics of AC Drives. 2nd ed. New York, USA: Oxford University Press Inc., 1997
  • Ojo O, Wu Z. Modeling of a dual-stator-winding induction machine including the effect of main flux linkage magnetic saturation. IEEE T Ind Appl 2008; 44: 1099-1107.
  • Bose BK. Modern Power Electronics and AC Drives. 1st ed. New Jersey, NJ, USA: 2002.
  • Hu J, Wu B. New integration algorithms for estimating motor flux over a wide speed range. IEEE T Power Electr 1998; 13: 787-795.
  • Farshad M, Lucas C. Modeling, design and intelligent control of switched reluctance motor (SRM) for washing machine application. PhD, University of Tehran, Tehran, Iran, 2006.
  • Kowalska TO, Dybkowski M. Stator-current-based MRAS estimator for a wide range speed-sensorless inductionmotor drive. IEEE T Ind Electron 2010; 57: 1296-1308.