Aircraft navigation based on differentiation–integration observer
نویسندگان
چکیده
منابع مشابه
Aircraft navigation based on differentiation-integration observer
In this paper, a slimple linear high-gain integral-derivative observer is presented based on singular perturbation technique. The proposed integral-derivative observer can estimate synchronously the multiple integrals and derivatives of a signal. The merits of the presented integralderivative observer include its synchronous estimation of integrals and derivatives, simple implementation, suffic...
متن کاملObserver-based Control of a Pvtol Aircraft
In this paper, we propose an observed-based control for the PVTOL aircraft considering that the angular position is not measurable. The control strategy presented here, is robust with respect to observer errors and takes into account constraints imposed by the nonlinear observer. The observer design is based on the assumption that the horizontal position is the only available measure. We presen...
متن کاملModelling Issues in Vision Based Aircraft Navigation
This paper investigates the the feasibility of using visual and infrared imaging sensors to aid in the location of the aircraft position during operations such as landing in bad weather. The choice of the airport model used is crucial to algorithms which are used for position estimation based on pattern recognition. In this paper we describe the eeects the choice of a model has on the behaviour...
متن کاملReal-Time Vision-Based Relative Aircraft Navigation
This paper describes two vision-based techniques for the navigation of an aircraft relative to an airborne target using only information from a single camera fixed to the aircraft. These techniques are motivated by problems such as “see and avoid”, pursuit, formation flying, and in-air refueling. By applying an Extended Kalman Filter for relative state estimation, both the velocity and position...
متن کاملGas-Path Health Estimation for an Aircraft Engine Based on a Sliding Mode Observer
Abstract: Aircraft engine gas-path health monitoring (GPHM) plays a critical role in engine health management (EHM). Among model-based approaches, the Kalman filter (KF) has been widely employed in GPHM. The main shortcoming of KF-based scheme lies in the lack of robustness against uncertainties. To enhance robustness, this paper describes a new GPHM architecture using a sliding mode observer (...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Aerospace Science and Technology
سال: 2017
ISSN: 1270-9638
DOI: 10.1016/j.ast.2017.05.007