Modeling of a commercial BLDC motor and control using GA-ANFIS tuned PID controller

Abstract

The applications of The Brush Less Direct Current (BLDC) are increasing day by day. In order to have proper utilization of these motors and to control them effectively it's important to have proper mathematical modeling of these motors. Similarly effective control these motors are also essential to have successful application of the devices across multiple domains. This work addresses both these important aspects. A mathematical model has been derived to represent a BLDC model and it has been subsequently used to represent a commercially available BLDC motor. Its utility can be gauged from the fact different motor can be analyzed easily using the proposed model. The mathematical model was subjected to open loop and closed loop analysis to study the stability and performance. This paper also presents an approach involving Genetic Algorithm (GA) for training the ANFIS. In order to validate the approach a Simulink model having a PID controller is constructed to control the modeled BLDC. It can be observed from the results that GA-ANFIS has delivered a much improved performance when compared to traditional ANFIS.