mpcsimopt

MPC simulation options

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Description

When simulating an implicit or explicit MPC controller using the sim function, you can specify additional simulation options using an mpcsimopt object.

Creation

Syntax

options = mpcsimopt(mpcobj)

Description

example

options = mpcsimopt(mpcobj) creates a default set of options for specifying additional parameters for simulating the MPC controller mpcobj with the sim function. To specify nondefault values for the properties, use dot notation.

Input Arguments

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MPC controller object, specified as either an mpc or explicitMPC object.

Properties

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Simulation plant model initial state, specified as a vector with length equal to the number states in the plant model used for the simulation. To use the default nominal state of the simulation plant model, set PlantInitialState to [].

If you do not specify the Model option, then the plant model used for the simulation is the internal plant model from the controller. In this case, the default initial controller state is equal to mpcobj.Model.Nominal.X.

If you specify the Model option, then the plant model used for simulation is Model.Plant. In this case, the default initial controller state is equal to Model.Nominal.X.

MPC controller initial condition, specified as an mpcstate object. Setting ControllerInitialState = [] is equivalent to setting ControllerInitialState = mpcstate(mpcobj).

Unmeasured disturbance signal for simulating disturbances occurring at the unmeasured disturbance inputs of the simulation plant model, specified as an array with Nud columns and up to Ntrows, where Nud is the number of unmeasured disturbances, and Nt is the number of simulation steps. If you specify fewer than Nt rows, then the values in the final row of the array are extended to the end of the simulation.

Manipulated variable noise signal for simulating load disturbances occurring at the manipulated variable inputs to the simulation plant model, specified as an array with Nmv columns and up to Ntrows, where Nmv is the number of manipulated variables, and Nt is the number of simulation steps. If you specify fewer than Nt rows, then the values in the final row of the array are extended to the end of the simulation.

Measured output noise signal for simulating disturbances occurring at the measured output of the simulation plant model, specified as an array with Ny columns and up to Ntrows, where Ny is the number of measured outputs, and Nt is the number of simulation steps. If you specify fewer than Nt rows, then the values in the final row of the array are extended to the end of the simulation.

Flag indicating whether to use reference previewing during simulation, specified as one of the following:

  • 'off' — Do not use reference previewing.

  • 'on' — Use reference previewing.

When simulating an explicit MPC controller, you must set RefLookAhead to 'off'.

Flag indicating whether to use measured disturbance previewing during simulation, specified as one of the following:

  • 'off' — Do not use measured disturbance previewing.

  • 'on' — Use measured disturbance previewing.

When simulating an explicit MPC controller, you must set MDLookAhead to 'off'.

Flag indicating whether to enable constraints during simulation, specified as one of the following:

  • 'on' — Use the constraints defined in the controller during simulation.

  • 'off' — Simulate the controller without any constraints.

Plant model to use for simulation, specified as one of the following:

  • [] — Simulate the controller against its internal plant model (mpcobj.Model). In this case, there is no plant-model mismatch.

  • LTI system object — Simulate the controller against the specified LTI plant. The specified plant must have the same input and output group configuration as mpcobj.Model.Plant. To set this configuration, use setmpcsignals.

  • Structure with fields Plant and Nominal — Simulate the controller using the specified plant (Plant) and nominal conditions (Nominal).

Model sets the actual plant that the controller is simulated against (not the internal prediction model of the controller). Use this option to specify a plant that differs from the controller internal plant model (model mismatch).

If you do not specify nominal conditions, Model.Nominal.U and Model.Nominal.Y are inherited from mpcobj.Model.Nominal. Model.Nominal.X and Model.Nominal.DX are only inherited if both plants are state-space objects with the same state dimension.

To specify the initial state of this simulation plant model, use the PlantInitialState option.

Flag indicating whether to display the simulation status bar, specified as one of the following:

  • 'off' — Do not display the status bar.

  • 'on' — Display the status bar.

Sequence of manipulated variables to use during open-loop simulation, specified as an array with Nmv columns and up to Ntrows, where Nmv is the number of manipulated variables, and Nt is the number of simulation steps. If you specify fewer than Nt rows, then the values in the final row of the array are extended to the end of the simulation. The specified manipulated variable signals must include any manipulated variable offsets.

If you specify MVSignal, then the controller does not compute control actions and the simulation reference signal is ignored.

Flag indicating whether to run an open-loop simulation, specified as one of the following:

  • 'off' — Do not display the status bar.

  • 'on' — Display the status bar.

Object Functions

simSimulate closed-loop/open-loop response to arbitrary reference and disturbance signals for implicit or explicit MPC

Examples

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Open Live Script

Simulate the MPC control of a multi-input, multi-output (MIMO) system with a mismatch between the predicted and actual plant models. The system has two manipulated variables, two unmeasured disturbances, and two measured outputs.

Define the predicted plant model.

p1 = tf(1,[1 2 1])*[1 1;0 1];
plantPredict = ss([p1 p1]);
plantPredict.InputName = {'mv1','mv2','umd3','umd4'};

Specify the MPC signal types.

plantPredict = setmpcsignals(plantPredict,'MV',[1 2],'UD',[3 4]);

Create the MPC controller.

mpcobj = mpc(plantPredict,1,40,2);
-->The "Weights.ManipulatedVariables" property of "mpc" object is empty. Assuming default 0.00000.
-->The "Weights.ManipulatedVariablesRate" property of "mpc" object is empty. Assuming default 0.10000.
-->The "Weights.OutputVariables" property of "mpc" object is empty. Assuming default 1.00000.

Define the unmeasured input disturbance model used by the controller.

distModel = eye(2,2)*ss(-0.5,1,1,0);
mpcobj.Model.Disturbance = distModel;

Define an actual plant model which differs from the predicted model and has unforeseen unmeasured disturbance inputs.

p2 = tf(1.5,[0.1 1 2 1])*[1 1;0 1];
plantActual = ss([p2 p2 tf(1,[1 1])*[0;1]]);
plantActual = setmpcsignals(plantActual,'MV',[1 2],'UD',[3 4 5]);

Configure the unmeasured disturbance and output reference trajectories.

dist = ones(1,3);
refs = [1 2];

Create and configure a simulation option set.

options = mpcsimopt(mpcobj);
options.UnmeasuredDisturbance = dist;
options.Model = plantActual;

Simulate the system.

sim(mpcobj,20,refs,options)
-->Converting model to discrete time.
-->Assuming output disturbance added to measured output channel #1 is integrated white noise.
-->Assuming output disturbance added to measured output channel #2 is integrated white noise.
-->The "Model.Noise" property of the "mpc" object is empty. Assuming white noise on each measured output channel.
-->Converting model to discrete time.
-->The "PredictionHorizon" property of "mpc" object is empty. Trying PredictionHorizon = 10.
-->The "ControlHorizon" property of the "mpc" object is empty. Assuming 2.
-->The "Weights.ManipulatedVariables" property of "mpc" object is empty. Assuming default 0.00000.
-->The "Weights.ManipulatedVariablesRate" property of "mpc" object is empty. Assuming default 0.10000.
-->The "Weights.OutputVariables" property of "mpc" object is empty. Assuming default 1.00000.

See Also

Topics

Introduced before R2006a

Model Predictive Control Toolbox Documentation

Support