Control System Toolbox Function Reference

reg

Form regulator given state-feedback and estimator gains

Syntax

rsys = reg(sys,K,L)
rsys = reg(sys,K,L,sensors,known,controls)

Description

rsys = reg(sys,K,L) forms a dynamic regulator or compensator rsys given a state-space model sys of the plant, a state-feedback gain matrix K, and an estimator gain matrix L. The gains K and L are typically designed using pole placement or LQG techniques. The function reg handles both continuous- and discrete-time cases.

This syntax assumes that all inputs of sys are controls, and all outputs are measured. The regulator rsys is obtained by connecting the state-feedback law and the state estimator with gain matrix L (see estim). For a plant with equations

this yields the regulator

This regulator should be connected to the plant using positive feedback.

rsys = reg(sys,K,L,sensors,known,controls) handles more general regulation problems where:

• The plant inputs consist of controls , known inputs , and stochastic inputs .
• Only a subset of the plant outputs is measured.

The index vectors sensors, known, and controls specify , , and as subsets of the outputs and inputs of sys. The resulting regulator uses as inputs to generate the commands (see figure below).

Example

Given a continuous-time state-space model

sys = ss(A,B,C,D) 

with seven outputs and four inputs, suppose you have designed:

• A state-feedback controller gain K using inputs 1, 2, and 4 of the plant as control inputs
• A state estimator with gain L using outputs 4, 7, and 1 of the plant as sensors, and input 3 of the plant as an additional known input

You can then connect the controller and estimator and form the complete regulation system by

controls = [1,2,4];
sensors = [4,7,1];
known = [3];
regulator = reg(sys,K,L,sensors,known,controls)

See Also
estim       Form state estimator given estimator gain

kalman      Kalman estimator design

lqgreg      Form LQG regulator

lqr, dlqr   State-feedback LQ regulator

place       Pole placement

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