A new modified adaptive neuro fuzzy inference system-based MPPT controller for the enhanced performance of an asynchronous motor drive

Solar energy is one of the most important renewable energy sources. On an average, the sun shines in India for about 6 h per day and for about 9 months in a year. To generate electricity from the sun, the Solar Photovoltaic (SPV) modules are used. SPV comes in various power outputs to meet the load requirements. The power from a solar photovoltaic module is maximized in special instances to increase the efficiency of the PV system. The Adaptive Neuro Fuzzy Inference System (ANFIS) based Maximum Power Point Tracking (MPPT) controller is used to track the maximum power. DC-DC boost converter and space vector modulation based inverters are used to provide the required supply to the load. The proposed ANFIS-based MPPT improves the system efficiency even at abnormal weather conditions. Here, a lot of reduction in torque and current ripple contents is obtained with the help of ANFIS-based MPPT for an asynchronous motor drive. Also, better performance of an asynchronous motor drive is analyzed with the comparison of a conventional and proposed MPPT controller using Matlab-simulation results. Practical validations are also carried out and tabulated.