Abstract:
Due to the fast depletion of fossil resources, pollution, and issues with the global environment
caused by internal combustion vehicles, it must change to a renewable energy source. Hybrid
electric vehicles (HEV) are alternative solutions. A permanent magnet synchronous motor is
widely used for HEV applications due to its many advantages, including high efficiency,
compactness, high power density, fast dynamics, and a high torque to inertia ratio. In field oriented control (FOC), the current in a dq rotating reference frame is controlled by
proportional-integral (PI) controllers. This enables separate control of the machine's torque
and magnetic field. To ensure high performance from the FOC, the proportional and integral
gains Kp and Ki must be carefully tuned. Direct Torque Control (DTC), which directly
controls the torque and flux with no need for the complex coordinate transformation,
therefore has the merits of low reliability for parameters, fast dynamic torque response, and
a simple structure. However, it suffers from certain disadvantages, such as high current and
torque ripples and the difficulty of controlling torque at low speeds. Due to its notable
benefits like fast dynamic response, the capacity for multi-variable control, and the versatility
to include multiple constraints, FCS-MPC, a robust and promising control strategy for
PMSM drives, has grown in popularity. Compared to direct torque control and field-oriented
control, it has significantly fewer current ripples and torque ripples. In this regard, a finite
control set model Predictive current control and a proportional integral speed controller for
a PMSM motor are proposed, where the proportional integral parameters are tuned using a
genetic algorithm. In order to achieve this, the vehicle dynamics and PMSM are modeled
mathematically. Also, the system is simulated using the MATLAB software tool. The speed
response of FCS-MPC shows that the result has better dynamic performance than the PI
controller. FCS-MPC is better in overshoot, which is 0.3514%, and in rise time, which is
0.0101%, and in settling time, which is 0.0177 seconds, compared to PI's 0.0869 seconds.
