ANFIS-Controlled Voltage Source for Vigorous Speed Control of BLDC Motor Drive for Utilization in Smart Electric Vehicles

Abstract

Technology is advancing at a very fast pace newer and better types of machines are being evolved. Initially, we had the DC motor but now we have a new generation of DC motor called brushless DC motor (BLDC). This has all the advantages of a dc motor with none of the disadvantages like commutation loss or sparking due to the commutation process. In this paper, we have devised a way for speed control of BLDC motor. The research is not limited to only tracking a single reference point but a fast-changing set of references. This is done to simulate real-life conditions where an electric vehicle that uses BLDC motor for mobility as on roads, we are certain to face sudden speed changes so the speed control system should be robust to be able to undergo such changes. Here we have used two types of controllers for controlling the voltage input to the motor. This includes a PID controller and a new improved which has a combination of both neural and fuzzy i.e., ANFIS controller. Transient response characteristics of both the controlling system are compared. A quasi-iterative process is used for tuning PID parameters. In conclusion, we can see that the ANFIS controller is better because it is easier to implement and has robust convergence characteristics. For simulation purposes, we have used a permanent magnet synchronous motor with a change in the back-emf waveform from the sinusoidal to the trapezoidal waveform.