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On control of spacecraft relative motion in the case of an elliptic keplerian chief
, Article Advances in the Astronautical Sciences ; Vol. 150, issue , August , 2014 , p. 1413-1432 ; 2195268X ; Butcher, E. A ; Mesbahi, A ; Sharif University of Technology
Abstract
In this study, control strategies based on time-varying LQR, Lyapunov-Floquet transformation (LFT), backstepping, feedback linearization, and constant gain feedback control are implemented for the linearized time periodic equations of spacecraft relative motion when the reference orbit is elliptic. Also, natural and nonnatural leader-follower two-spacecraft formations are studied. The stability of the closed-loop response, the control effort required, and the settling time are investigated and compared for all control strategies. Furthermore, using constant gain feedback, the estimated region of attraction of the closed-loop system is obtained analytically
Non-fragile tuning of fractional-order PD controllers for IPD-modelled processes
, Article IFAC Proceedings Volumes (IFAC-PapersOnline) ; 2013 , Pages 361-366 ; 14746670 (ISSN) ; 9783902823274 (ISBN) ; Tavazoei, M. S ; Mesbahi, A ; Sharif University of Technology
2013
Abstract
This paper deals with introducing non-fragile algebraic tuning rules for fractional-order PD controllers where they are used in controlling processes modeled in Integral Plus Delay (IPD) forms. These tuning rules are obtained based on a recently introduced approach, named as the centroid approach, which results in non-fragile tuning methods. Based on this approach, the centroids of two-dimensional admissible regions or the center of gravity of three-dimensional admissible regions in controller parameter space give non-fragile options for choosing controller parameters. © 2013 IFAC
Parameter and order estimation from noisy step response data
, Article IFAC Proceedings Volumes (IFAC-PapersOnline) ; 2013 , Pages 492-497 ; 14746670 (ISSN) ; 9783902823274 (ISBN) ; Tavazoei, M. S ; Mesbahi, A ; Sharif University of Technology
2013
Abstract
In this paper, two integral based methods are proposed to estimate the order and the parameters of simple fractional order models from the noisy step response data. Numerical simulation results show the efficiency of the proposed methods in the presence of the measurement noise