Improvement and Simulation of PID Model Predictive Control Algorithm Based on Time Domain

In the model predictive control scheme, the PID cascade control structure is introduced. By using conventional PID control at the bottom, the interference into the system is suppressed, and MPC at the top, excellent tracking and robustness are obtained. PID controller is a feedback control system, which uses proportional integral derivative (PID) model to estimate the process variables and their derivatives at each time. Then, the output of the PID controller is used as an input of another control loop that controls the process variable in response to the change of the error signal. In this way, it can be said that there are two cycles: one is used to estimate process variables, and the other is used to control process variables. This type of control scheme has been widely used in industrial applications, such as power plants and chemical plants. It has also been successfully applied in many other engineering fields.