6533b859fe1ef96bd12b6f6b

RESEARCH PRODUCT

Hybrid nonlinear observer for Inertial Navigation

Francesco AlongeA. GarganoFilippo D'ippolitoAntonino Sferlazza

subject

Hybrid observer0209 industrial biotechnologyEngineeringObserver (quantum physics)010505 oceanographybusiness.industry02 engineering and technologyKalman filterInertial navigationSeparation principle01 natural sciences020901 industrial engineering & automationSample-data systemsSettore ING-INF/04 - AutomaticaControl theoryHybrid systemGlobal Positioning SystemState observerbusinessAlpha beta filterInertial navigation system0105 earth and related environmental sciences

description

This paper considers the problem of designing an observer for navigation and localization of inertial systems. Since the measurement systems used in this field have a low update rate with respect to the control algorithm, the design of a suitable observer with sampled measurements is required. Here a hybrid non-linear observer is proposed, combining two different observers with different characteristics. A theoretical treatment is given in order to prove the convergence of the observer and it will be contextualized in the framework of the hybrid systems, providing an elegant setting for the proposed solution. Finally experimental results show the feasibility of the proposed observer and the good behaviors in terms of estimation error that can be achieved.

https://doi.org/10.1109/isie.2016.7744920