DocumentCode
2891197
Title
An exact solution for the infinite horizon LQ optimal output tracking problem
Author
Bauer, Peter ; Kulcsar, Balazs ; Bokor, Jozsef
Author_Institution
Dept. of Control & Transp. Autom., Budapest Univ. of Technol. & Econ. (BUTE), Budapest
fYear
2008
fDate
3-5 Sept. 2008
Firstpage
822
Lastpage
827
Abstract
The paper proposes a new, discrete time LQ optimal controller synthesis for output tracking over an infinite horizon. The resulted controller consists of a state feedback and a feedforward term. The solution requires a one step ahead prediction of the reference signal. For a smooth enough reference signal this can be replaced with extrapolation. Here, the properties for constant reference signals are examined, time varying references will be covered with another article. The method guarantees asymptotical stability and zero steady state tracking error. The elaborated techniques satisfy the separation principle for an arbitrary deterministic or stochastic state estimator. The reference tracking problem for a quadrotor helicopter is solved by the method. The trajectory tracking control is successfully applied both with reference signal preview and extrapolation (considering time varying references also).
Keywords
asymptotic stability; discrete time systems; extrapolation; feedforward; infinite horizon; linear quadratic control; state feedback; stochastic processes; tracking; asymptotical stability; constant reference signal; discrete time controller; extrapolation; feedforward; infinite horizon; linear quadratic control; optimal output tracking problem; state feedback; stochastic state estimator; zero steady state tracking error; Asymptotic stability; Extrapolation; Helicopters; Infinite horizon; Optimal control; Signal synthesis; State estimation; State feedback; Steady-state; Stochastic processes; constant reference signal; discrete time LQ; infinite horizon; output tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications, 2008. CCA 2008. IEEE International Conference on
Conference_Location
San Antonio, TX
Print_ISBN
978-1-4244-2222-7
Electronic_ISBN
978-1-4244-2223-4
Type
conf
DOI
10.1109/CCA.2008.4629643
Filename
4629643
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