Intelligent Battery Interfaced Solar PV Powered BLDC Motor Using ANN in MPPT and Regenerative Braking Concept

Modern drive technology is advancing significantly influenced by brushless DC motors, also known as BLDC Motors. A growing number of industries, including consumer appliances, the automobile sector, advance industrial automation, chemical and medical, instrumentation and aerospace, have embraced them due to their quick rise in popularity. This paper proposes a detailed study on BLDC motor powered by solar photovoltaic (SPV) array with an intelligent hybrid system of battery as backup. An artificial neural network (ANN) associated with maximum power point tracking (MPPT) is a method which is implemented in the solar photovoltaic system in order to harness the maximum power from the SPV panel during variable irradiance which naturally occurs because of bad climate. Through a buck-boost DC-DC converter, an automated power transfer for the battery is made possible by a bidirectional charging control. Speed control of BLDC motor is carried on using a voltage source inverter (VSI) which is fired by gating pulses which are generated out of the electrical commutation process of hall signals of the motor. Additionally, the concept of regenerative braking of BLDC motor is executed for power recovery in the battery which can be further used in future. All the performance analysis of PV array, battery and BLDC motor are carried out in MATLAB/Simulink platform.