How to design the MPC controller based on the plant model. I want to use it for the adaptive control for motor control. How it will react?

I aim to design an MPC controller for motor control. The model functions effectively with a tuned PID controller, but I also want it to incorporate adaptive control features. This MPC should be capable of adapting based on the desired outputs. I can provide the values for specific id and iq, but the controller should also deliver appropriate vd and vq values, along with speed, torque, and power, to ensure the model operates effectively in an MPC context.

Please give the proper code to design MPC controller which i can write in script file.

Answer 1

[Sam Chak]

Hi @Ancy Princia

There are numerous codes available in the documentation of the Model Predictive Control Toolbox. You should first refer to "Get Started with Model Predictive Control Toolbox".

However, it is not possible to fully understand how the built-in MPC works, and it can be challenging to determine the control amount at specific times. To ensure the effective application of adaptive control theory, you need to manually implement the adaptive law so that it can adjust the PID gains to compensate for the changes in the motor's dynamics (unlikely) or in the environment (very likely).

[Ancy Princia]

@Sam Chak Ok. Thank you

Answer 2

[KrishnaKumar]

This might be useful for your investigation - Run Field Oriented Control of PMSM Using Model Predictive Control - MATLAB & Simulink Example