Title :
Robust estimation algorithm for a class of hybrid systems with unknown continuous fault inputs
Author :
Weiyi Liu ; Inseok Hwang
Author_Institution :
Sch. of Aeronaut. & Astronaut., Purdue Univ., West Lafayette, IN, USA
fDate :
June 30 2010-July 2 2010
Abstract :
In this paper, we develop a robust hybrid estimation algorithm for the Stochastic Linear Hybrid System (SLHS) with unknown continuous fault inputs. Most existing estimation algorithms for hybrid systems with fault inputs are designed such that every faulty mode is modeled as a discrete state, which incurs a large number of the discrete states in the estimation model. The proposed algorithm overcomes this problem by decoupling the unknown fault inputs from the estimation error dynamics and has the same number of the discrete states as the original hybrid system. The proposed algorithm is validated with a vertical take-off and landing (VTOL) aircraft application.
Keywords :
estimation theory; fault diagnosis; linear systems; state estimation; stochastic systems; VTOL aircraft application; discrete state; estimation error dynamics; faulty mode; robust hybrid estimation algorithm; stochastic linear hybrid system; unknown continuous fault input; vertical take-off and landing aircraft; Aerodynamics; Aircraft; Algorithm design and analysis; Control systems; Estimation error; Filters; Robust control; Robustness; State estimation; Stochastic systems;
Conference_Titel :
American Control Conference (ACC), 2010
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-7426-4
DOI :
10.1109/ACC.2010.5530631