Power Extraction from PV Module Using Hybrid ANFIS Controller

  • Tata Venkat Dixit
  • Anamika Yadav
  • S. Gupta
  • Almoataz Y. AbdelazizEmail author
Part of the Power Systems book series (POWSYS)


The characteristic of PV module is nonlinear, complex in nature and its performance depends on different environmental factors. In order to enhance the efficiency of photovoltaic power system, selection of a suitable power converters and control strategies are essential. In this chapter, the performance of soft-computing techniques of MPPT such as ANN and Hybrid-ANFIS are compared with well established Modified Incremental Conductance method under load and solar irradiance change. The ANFIS is able to exploit both data and knowledge to formulate more efficient hybrid intelligent system. It learns the information from experimental data and automatically determines the best membership parameters and rule bases associated to Fuzzy Inference System (FIS) to map given input output data. In this chapter, the parameters of FIS are tuned by Back-Propagation (BP) or hybrid (combination of Least Square Estimation and BP) method. Also, the effect of load impedance and converter topologies on ANFIS controller design has been investigated. Further, the detailed description of hardware implementation of ANFIS controller on DSP/FPGA platform has been presented.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Tata Venkat Dixit
    • 1
  • Anamika Yadav
    • 2
  • S. Gupta
    • 2
  • Almoataz Y. Abdelaziz
    • 3
    Email author
  1. 1.Department of Electrical EngineeringGoverment Polytechnic Kondagaon (C.G.)JagdalpurIndia
  2. 2.Department of Electrical EngineeringNational Institute of TechnologyRaipurIndia
  3. 3.Faculty of Engineering, Electrical Power and Machines DepartmentAin Shams UniversityCairoEgypt

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