Single-Stage PV-Grid Interactive Induction Motor Drive with Improved Flux Estimation Technique for Water Pumping with Reduced Sensors

  • Unique Paper ID: 184487
  • Volume: 12
  • Issue: 4
  • PageNo: 1782-1787
  • Abstract:
  • This paper deals with a PV-grid integrated system operating an induction motor (IM) coupled to a water pump. A simple DC link voltage regulation approach is adopted for the power transfer. This system is utilized to primarily feed the induction motor-driven water pump and when water pumping is not desired, the power is delivered to the utility. This system requires two current sensors and two voltage sensors in total for sensing and estimation purpose. Induction motor phase currents are estimated from DC link current by modified SVM technique. The speed estimation in this system is achieved by artificial neural network (ANN) based model reference adaptive system (MRAS) with a third order integrator for flux estimation and is capable of controlling the power flow as per demand. The field-oriented control (FOC) is used for speed control of an induction motor (IM)-pump. A third-order integrator-based unit voltage generation algorithm is used to control the power transfer in both the direction between utility and the IMD with water pump by regulating DC link voltage. The appropriateness of the system is justified by simulated results on MATLAB/Simulink platform and test results procured with the help of a developed prototype during varying solar irradiances.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{184487,
        author = {APPAMBETI MOUNICA and SK SEEMA},
        title = {Single-Stage PV-Grid Interactive Induction Motor Drive with Improved Flux Estimation Technique for Water Pumping with Reduced Sensors},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {1782-1787},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184487},
        abstract = {This paper deals with a PV-grid integrated system operating an induction motor (IM) coupled to a water pump. A simple DC link voltage regulation approach is adopted for the power transfer. This system is utilized to primarily feed the induction motor-driven water pump and when water pumping is not desired, the power is delivered to the utility. This system requires two current sensors and two voltage sensors in total for sensing and estimation purpose. Induction motor phase currents are estimated from DC link current by modified SVM technique. The speed estimation in this system is achieved by artificial neural network (ANN) based model reference adaptive system (MRAS) with a third order integrator for flux estimation and is capable of controlling the power flow as per demand. The field-oriented control (FOC) is used for speed control of an induction motor (IM)-pump. A third-order integrator-based unit voltage generation algorithm is used to control the power transfer in both the direction between utility and the IMD with water pump by regulating DC link voltage. The appropriateness of the system is justified by simulated results on MATLAB/Simulink platform and test results procured with the help of a developed prototype during varying solar irradiances.},
        keywords = {Photovoltaic system, grid integration, induction motor drive, water pumping, DC link voltage regulation, space vector modulation, current estimation, speed estimation, artificial neural network, model reference adaptive system, field-oriented control, flux estimation, bidirectional power flow, MATLAB/Simulink, prototype validation},
        month = {September},
        }

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