You can create an MPC controller with a linear plant model using the MPC Designer app or at the command line. To design a controller, first select the controller sample time and horizons, and specify any required constraints. For more information, see Choose Sample Time and Horizons and Specify Constraints. You can then adjust the controller weights to achieve your desired performance, see Tune Weights for more information.
|Model predictive controller|
|Provide help on MPC controller properties|
|Generate MPC controller using generalized predictive controller (GPC) settings|
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|MPC Designer||Design and simulate model predictive controllers|
- Choose Sample Time and Horizons
Choose your MPC controller sample time, prediction horizon, and control horizon early in your design, and hold them constant as you tune other controller parameters.
- Specify Constraints
You can specify upper and lower bounds for the values of plant outputs and manipulated variables, and also for the rate of change of manipulated variables.
- Finite Control Set MPC
Solve linear MPC problems in which some or all manipulated variables belong to discrete sets.
- Specify Scale Factors
When designing an MPC controller, it is good practice to define scale factors for each plant input and output, especially when variables have large differences in magnitude.
- Tune Weights
To tune your MPC controller performance, adjust the cost function penalty weights for plant outputs and manipulated variables, and also for the rate of change of manipulated variables.
- Design Model Predictive Controller at Equilibrium Operating Point
To design an MPC controller at an equilibrium point with nonzero operating conditions, you can specify the corresponding nominal conditions in the controller object.
- Design Controller Using MPC Designer
Design a model predictive controller for a continuous stirred-tank reactor (CSTR) using MPC Designer.
- Design MPC Controller at the Command Line
Design and simulate a model predictive controller at the MATLAB® command line.
- Design MPC Controller in Simulink
Design and simulate a model predictive controller for a Simulink® model using MPC Designer.
Design for Specialized Plants
- Design MPC Controller for Plant with Delays
Design a model predictive controller for a plant with delays using MPC Designer.
- Design MPC Controller for Nonsquare Plants
Configure an MPC controller for a nonsquare plant with unequal numbers of manipulated variables and outputs.
- Design MPC Controller for Identified Plant Model
Design a model predictive controller using a linear System Identification Toolbox™ plant model.
- Generate MATLAB Code from MPC Designer
To programmatically reproduce controller designs that you obtained interactively using MPC Designer, you can automatically generate MATLAB scripts.
- Design MPC Controller for Position Servomechanism
Design a model predictive controller for a position servomechanism using MPC Designer.
- Design MPC Controller for Paper Machine Process
Design a model predictive controller for a nonlinear paper machine process using MPC Designer.
- Control of an Inverted Pendulum on a Cart
Control an inverted pendulum in an unstable equilibrium position using a model predictive controller.
- Thermo-Mechanical Pulping Process with Multiple Control Objectives
Design a model predictive controller for a MIMO system with multiple control objectives.
- MPC Control of an Aircraft with Unstable Poles
Design a model predictive controller to control an aircraft with saturating actuators.