Kalman Filter in Real Time for Indirect Measurement of Space Vehicle Position using a Reconfigurable Architecture

Mouzinho, Lucilene Ferreira; FonsecaNeto, J.V.; Luciano, Benedito Antonio; Freire, R.C.S.; Barros, José de Sousa; Fontgalland, Glauco

doi:10.1109/imtc.2005.1604255

Cited by 4 publications

(1 citation statement)

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“…The application of Kalman filter for trajectories estimation and indirect measurement of the velocity of a rocket is mentioned in [7]. In consideration the importance of the impact point estimation with the earth surface, for safety flight, some filter tuning fittings it has been being proposed in [3] that s concerns with the tuning of standard Kalman filter, this tuning is performed by the adjustment of the covariance matrices (sensor and plant).…”

Section: Introductionmentioning

confidence: 99%

QR-Duality Tuning of Standard Kalman Filters Oriented to Rocket Velocity Indirect Measurement

Neto

Farid

Abreu³

2010

2010 12th International Conference on Computer Modelling and Simulation

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The development of a tuning procedure for standard Kalman filter algorithm based on Q and R matrices duality principle is the main issue of this article. The tuning procedure is based on heuristics that are guided by the influence of Q and R matrices on the Kalman gain selections, as these matrices variations are driven by the QR-duality principle. An analysis of the filter performance is carried out by decreasing or increasing the filter bandwidth, the tuning objective aims to build optimal gains sets that map an aerospace vehicle behavior. Taking into account the rocket stages, some discussions about practical aspects of dynamic systems models simulation are presented in the sense of displacement, velocity and acceleration state space variables.

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Section: Introductionmentioning

confidence: 99%