Economic MPC

Economic model predictive controllers optimize control actions to satisfy generic economic or performance cost functions. The nameEconomic MPCderives from applications in which the cost function to minimize is the operating cost of the system under control.

Traditional implicit MPC controllers minimize a quadratic performance criterion (cost function) using a linear prediction model.

A quadratic cost function is adequate for tracking specified output and manipulated variable references. However, some applications can require optimizing for performance criteria, such as fuel consumption or production rates. Such performance criteria can be a combination of linear or nonlinear functions of the system states, inputs, or outputs.

An economic MPC controller:

Can use a linear or nonlinear prediction model
Uses your generic performance cost function instead of (or in addition to) the built-in quadratic cost function
Computes optimal control moves by solving a nonlinear optimization problem using the SQP algorithm infmincon(Optimization Toolbox)

To implement an economic MPC controller, create a nonlinear MPC controller object, and specify:

State and output functions that define your prediction model. For more information, see为非线性MPC指定预测模型.
A generic performance-based cost function. For more information, seeSpecify Cost Function for Nonlinear MPC.

For more information on nonlinear MPC controller objects, seenlmpc.

You can simulate economic MPC controllers:

In Simulink^®using theNonlinear MPC Controllerblock
At the command line usingnlmpcmove

Note

Designing an economic MPC controller using theMPC Designerapp is not supported.

An economic MPC controller requires Optimization Toolbox™ software.

Economic MPC

See Also

Functions

Blocks

Related Topics

Model Predictive Control Toolbox Documentation

金宝app

Implementing an Adaptive Cruise Controller with Simulink