R. Kumar, R. A. Gupta, S. V. Bhangale and H. Gothwal, “Artficial Neural Network Based Direct Torque Controle of Induction Motor Drives,” International Conference on Information and Communication Technology in Electrical Sciences (ICTES 2007), Chennai, 20-22 December 2007, pp. 361-367.

has been cited by the following article:

• TITLE: Reduce Torque Ripple of IM by Approach Method DTC

  AUTHORS: Lotfi El M’Barki, Moez Ayadi, Rafik Neji

  KEYWORDS: AMDTC, Minimum RMS, THD, Evolution of Temperature

  JOURNAL NAME: Intelligent Control and Automation, Vol.2 No.4, October 31, 2011

  ABSTRACT: This paper presents a new methodology for direct torque control (DTC) with improvement method control for induction motor (IM) systems. The application of approached method DTC (AMDTC), allows by using two hysteresis controllers to regulate torque and flux with the information of the angular location to address the switching table. The principal advantage of this AMDTC (optimization method of DTC) enables the minimization of the electromagnetic torque ripple and the reduction of the output current total harmonic distortion (THDI). Furthermore, it improved consumption quality of IM and it improved the lifespan of the motor. The switching characteristics of an inverter feeding an IM controlled with the AMDTC system are assessed in steady state.The proposed method of AMDTC is illustrated by computer simulations