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MCS,PHD
Argosy University/ Phoniex University/
Nov-2005 - Oct-2011
Professor
Phoniex University
Oct-2001 - Nov-2016
Consider a system with state matrices
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(a) Use feedback of the form
is a nonzero scalar, to move the poles to – 3 ± 3j. (b) Choose
 so that if r is a constant, the system has zero steady-state error; that is y(∞) = r.
(c) Show that if F changes to F + δF, where δF is an arbitrary 2 × 2 matrix, then your choice of in part (b) will no longer make y(∞) = r. Therefore, the system is not robust under changes to the system parameters in F.
(d) The system steady-state error performance can be made robust by augmenting the system with an integrator and using unity feedback—that is, by setting I = r – y, where xI is the state of the integrator. To see this, first use state feedback of the form u = –Kx – K1x1 so that the poles of the augmented system are at ![]()
(e) Show that the resulting system will yield y(∞) = r no matter how the matrices F and G are changed, as long as the closed-loop system remains stable.
(f) For part (d), use MATLAB (SIMULINK) software to plot the time response of the system to a constant input. Draw Bode plots of the controller, as well as the sensitivity function (S) and the complementary sensitivity function (T).
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