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Fuzzy and MRAC based direct torque control for FSTPI fed induction motor

Author

Listed:
  • Sudeshna Ghosh

    (Maulana Azad National Institute of Technology)

  • Harsh Goud

    (Indian Institute of Information Technology)

  • Chirag Salwan

    (Indian Institute of Information Technology)

  • Pankaj Swarnkar

    (Maulana Azad National Institute of Technology)

Abstract

Direct Torque Control (DTC) for Induction Motor Drives (IMD) has evolved as an industry standard due to numerous advantages like insensitive to variation, simplicity in implementation and quicker dynamic response compared to other vector control techniques. Six Switch Voltage Source Inverter (SSTPI), flux and torque hysteresis controllers characterize the conventional DTC. In this paper an attempt is made to replace the conventional SSTPI with a four switch voltage source inverter (FSTPI) for attaining same performance. Voltage vectors of FSTPI are balanced by proper vector selection using Space Vector Modulation thus imitating SSTPI operation. Selection of most optimum voltage vector ensures superior dynamic response during transient operation. This paper also presents superior speed control using a Fuzzy Logic Controller and Model Reference Adaptive Controller for Direct Torque Control (DTC) of Induction Motor Drive fed with FSTPI. The dynamic performance of FSTP inverter-fed IMD is investigated for different load conditions using proposed schemes along with traditional DTC scheme. Comparison shows that proposed DTC schemes with intelligent and adaptive control algorithm show excellent performance in terms of low torque ripples and speed regulation compared to conventional DTC technique.

Suggested Citation

  • Sudeshna Ghosh & Harsh Goud & Chirag Salwan & Pankaj Swarnkar, 2024. "Fuzzy and MRAC based direct torque control for FSTPI fed induction motor," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(7), pages 3225-3233, July.
    • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:7:d:10.1007_s13198-024-02328-5
    DOI: 10.1007/s13198-024-02328-5
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