Nowadays, each modern car is equipped with 30 electric motors on average. The main drivers for this increasing number are the high efficiency and performance of electric motors. Although brushed DC motors are still the majority in the automotive area, the trend clearly goes towards brushless DC (BLDC) motors because of their high reliability and high efficiency. There are two main control methods for BLDC: 1. 6-step commutation and Field-oriented Control (FOC). However, both methods don't have good dynamics performance. With the Tapas boards, we will implement Direct Torque Control (DTC) and Model Predictive Control (MPC) to improve the dynamic behavior of BLDC motor. The very fast switching frequency of Tapas board will further improve the dynamics of BLDC motor.
The set-up is shown in the photo. In the middle of the photo, a small drive system with two BLDC motor will be built. Two Tapas boards are needed. One is used for the load motor (used to simulate the load) and another is used to control tested motor. The DC source is on the left and on the right is the oscilloscope.
At first, the traditional FOC method is used to control the tested BLDC motor. Then the DTC and MPC are programmed on the Tapas to run the motor. At last, the performance of FOC, DTC, and MPC will be compared.
We are working in a team. Team member: Wei Tian, Qifan Yang, Zhao Song.
We need two Tapas boards: one is used for the load motor (torque control) and another is used to control tested motor (speed control).
This idea will get two TAPAS dev kits.