A review on artificial intelligence based control techniques on controlling BLDC motor measures

In the present scenario, a considerable assiduity is being provided for utilization of brushless DC motor as the electrical actuator in various fields such as aerospace, automotive, electronics and robotics applications. It is very essential to introduce suitable control algorithms to efficiently control such motor based on the requirements. In the present study, a detailed investigation has been made to analyze and various intelligent approaches on performance measures of BLDC motor. The investigation has been performed under different intelligent schemes such as supervisory control, sensor less control and various optimization algorithms for controlling BLDC motor. It has been found that the adaptability of control algorithms in BLDC motor can be chosen based on the requirements made by the system. It has also been inferred that lot of enhancement and modification of intelligent approaches are still needed to control BLDC motor as efficiently.