Adaptive Neuro-Fuzzy Interface System-based SMO for Solar PV Array fed Encoder less PMSM Drive for Irrigation Applications

Authors

  • Rayapati Devi Prasad  Department of Electrical and Electronics Engineering, VEMU Institute of Technology, P. Kothakota , Andhra Pradesh, India
  • Dr. A. Hemasekhar  Department of Electrical and Electronics Engineering, VEMU Institute of Technology, P. Kothakota , Andhra Pradesh, India

Keywords:

ANFIS Controller, PI Controller, PMSM Drive, Solar PV, Sliding mode control, Inverter, Incremental conductance based MPPT.

Abstract

This research work proposes an adaptive neuro-fuzzy interface system based SMO for encoder-less solar PV array PMSM drive for irrigation applications. The PMSM motor is employed and operated for Solar Water Pump System. A new technique named Adaptive Hybrid generalized integrator is employed to overcome the problems like reduced accuracy, sensitive to electromagnetic noise and temperature. In this AHGI based Sliding mode observer PI controller is implemented to regulate the voltage. But using of PI controller will leads system's slow system response time and efficiency of the system will decreases. So, in order to overcome this issues PI controller is replaced with Adaptive neuro-Fuzzy Interface System (ANFIS). For this process, a solar PV is assumed with the incremental conductance based MPPT technique to supply power to the PMSM drive. The supply from the PV will be in the form of DC but the PMSM drive needs AC supply. In order to convert DC electricity to AC power, an inverter is used. The speed and reference speed is considered to generate the reference current. For this regulation AHGI based SMC is employed which is equipped with ANFIS controller is proposed. The ANFIS controller will have high speed response of the system and reduces the harmonic distortions to provide magnified power to the irrigation applications. Using the Matlab/Simulink 2018a software, the performance of the suggested system is assessed.

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International Journal of Scientific Research in Science and Technology

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Published

2022-12-30

Issue

Volume 9, Issue 6, November-December-2022

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Rayapati Devi Prasad, Dr. A. Hemasekhar, " Adaptive Neuro-Fuzzy Interface System-based SMO for Solar PV Array fed Encoder less PMSM Drive for Irrigation Applications, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 9, Issue 6, pp.243-254, November-December-2022.