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 requires a high-performance processor and an accurate mathematical model of the drive. If your motor parameters change (like getting hot), the model might become inaccurate. PID and Predictive Control of Electrical Drives...
PID and Predictive Control of Electrical Drives: Finding the Right Balance MPC is the "smart" alternative
It struggles with "multi-variable" systems (like controlling torque and flux simultaneously) and doesn't handle physical limits—like voltage saturation—very gracefully. If your motor parameters change (like getting hot),
PID control has been the industry workhorse for decades. It works by calculating an "error" (the difference between where the motor is and where you want it to be) and applying a correction based on the past, present, and predicted future of that error.
It is simple, computationally "light," and incredibly well-understood. You don't need a complex mathematical model of your motor to make it work.
