Performance and Analysis of an Asynchronous Motor Drive with a New Modified Type-2 Neuro Fuzzy Based MPPT Controller Under Variable Irradiance and Variable Temperature

In the present research, we have developed a new modified Type 2 neuro fuzzy (T2NF) based MPPT controller, which combines the advantages of fractional open circuit voltage (FCV), variable step and optimized P&O algorithm. It leads to a faster and better tracking and lower oscillations around the MPP to contribute higher efficiency. The simulation result shows an efficiency of 96.41 %, an improvement of 2 ms is observed in the starting characteristics. The above concept has been extended to single phase AC photovoltaic system with improvement of 15 % in its performance. It has benefits of high efficiency and low harmonic distortion at output voltage waveform. Here DC-DC boost converter and space vector modulation based inverter are used to provide the required supply to the load. The proposed T2NF 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 T2NF based MPPT for an asynchronous motor drive. Also the better performance of an asynchronous motor drive is analyzed with the comparison of conventional and proposed MPPT controller using Matlab-simulation results. Practical validations are also carried out and tabulated.