What is mpc algorithm?

Mpc algorithm is a model predictive control algorithm. An advanced process control method has been applied to chemical refining and other process industries since 1980, and has been applied in the economic field. MPC is a multivariable control strategy, which includes: the dynamic model of the inner loop of the process; Historical value of control quantity; The optimal value equation j in the prediction interval. The optimal control quantity can be obtained from the above quantities.

Application of Model Predictive Control Algorithm

Predictive model is the basis of model predictive control, which can predict the future state of the controlled platform through the current system state information and future control input variables provided by the controlled platform in the control system.

There is no clear formal requirement for the form of the prediction model, which can be state space equation, transfer function, step response model, impulse response model and so on. According to the controlled object and the state to be predicted, the appropriate prediction model is selected. For vehicle direction, state space model is more suitable for model predictive control.