DocumentCode :
2540647
Title :
Discrete time minimax tracking control with state and disturbance estimation II: Time-varying reference and disturbance signals
Author :
Bauer, P. ; Kulcsar, B. ; Bokor, J.
Author_Institution :
Syst. & Control Lab., Hungarian Acad. of Sci., Budapest, Hungary
fYear :
2009
fDate :
24-26 June 2009
Firstpage :
486
Lastpage :
491
Abstract :
The paper characterizes the properties of discrete time minimax tracking control problem in the case of time varying references and disturbances. Hereunder, a multi step tracking control synthesis is suggested for linear time invariant (LTI) plants when the reference signal could be time dependent. Moreover, instead of directly rejecting the effect of the (time varying) disturbance signal, an intermediate estimation and centering step is proposed. This step eliminates the main part of the disturbance by its unbiased estimate. The solution combines the state and disturbance estimation with linear quadratic and optimal minimax tracking design. The resulted unified control solution is LQ optimal on infinite horizon with constant references and disturbances and sub-optimal on large horizons with time-varying references and disturbances. The paper clarify the effect of the time varying signals on the stability and performance criteria. The multi step procedure is illustrated via an ascending spiral trajectory tracking simulation of a quadrotor helicopter.
Keywords :
control system synthesis; discrete time systems; infinite horizon; linear quadratic control; linear systems; minimax techniques; stability criteria; state estimation; time-varying systems; tracking; LQ optimal; constant reference; discrete time minimax tracking control; disturbance estimation; infinite horizon; linear quadratic design; linear time invariant plant; multi step tracking control synthesis; optimal minimax tracking design; stability criteria; state estimation; time-varying disturbance signal; time-varying reference; Automatic control; Control systems; Fuzzy logic; Helicopters; Minimax techniques; Noise measurement; Optimal control; State estimation; Stochastic systems; Trajectory; LQ optimal minimax tracking; state and disturbance estimation; time-varying signals;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation, 2009. MED '09. 17th Mediterranean Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
978-1-4244-4684-1
Electronic_ISBN :
978-1-4244-4685-8
Type :
conf
DOI :
10.1109/MED.2009.5164589
Filename :
5164589
Link To Document :
بازگشت