It handles constraints (like current or voltage limits) natively. It is also exceptionally fast at responding to sudden changes in load or speed, often outperforming PID in dynamic precision.

It struggles with "multi-variable" systems (like controlling torque and flux simultaneously) and doesn't handle physical limits—like voltage saturation—very gracefully.

MPC is the "smart" alternative. Instead of reacting to errors, MPC uses a mathematical model of the electrical drive to predict its future behavior over a specific time horizon. It then chooses the optimal control action to minimize a "cost function."

It is simple, computationally "light," and incredibly well-understood. You don't need a complex mathematical model of your motor to make it work.