Evaluation of multiple model adaptive estimation of aircraft airspeed in close to real conditions

Tamas Baar, Peter Bauer, Z. Szabó, Balint Vanek, Jozsef Bokor

Research output: Conference contribution

Abstract

The paper discusses the problem of aircraft airspeed estimation from ground speed measurement affected by the unmeasurable wind speed. The estimation has to be obtained along any flight trajectory where linearized dynamics and the associated trim conditions are available. Under these assumptions one feasible approach to this estimation task is to apply multiple model (MM) estimation based on a bank of robust Kalman filters (RKFs). The unmeasurable wind effect can be taken into consideration by using an unknown input observer running simultaneously with the RKF. The paper focuses on the implementation issues and investigates the effect of state and measurement noises on the resulting state and unknown input (wind speed) estimates. The bank of steady state RKFs are designed assuming LTI dynamics at the given trim points in the minimum variance unbiased estimation (MVUE) framework. In the undertaken simulation experiments the aircraft is represented first by its LTI, then by its LPV model.

Original languageEnglish
Title of host publication2017 25th Mediterranean Conference on Control and Automation, MED 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages271-276
Number of pages6
ISBN (Electronic)9781509045334
DOIs
Publication statusPublished - júl. 18 2017
Event25th Mediterranean Conference on Control and Automation, MED 2017 - Valletta, Malta
Duration: júl. 3 2017júl. 6 2017

Other

Other25th Mediterranean Conference on Control and Automation, MED 2017
CountryMalta
CityValletta
Period7/3/177/6/17

Fingerprint

Adaptive Estimation
Multiple Models
Aircraft
Kalman Filter
Unknown Inputs
Kalman filters
Wind Speed
Evaluation
Unbiased Estimation
Variance Estimation
Minimum Variance
Wind effects
Simulation Experiment
Observer
Trajectory
Trajectories
Estimate
Experiments
Banks

ASJC Scopus subject areas

  • Control and Optimization
  • Modelling and Simulation

Cite this

Baar, T., Bauer, P., Szabó, Z., Vanek, B., & Bokor, J. (2017). Evaluation of multiple model adaptive estimation of aircraft airspeed in close to real conditions. In 2017 25th Mediterranean Conference on Control and Automation, MED 2017 (pp. 271-276). [7984130] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MED.2017.7984130

Evaluation of multiple model adaptive estimation of aircraft airspeed in close to real conditions. / Baar, Tamas; Bauer, Peter; Szabó, Z.; Vanek, Balint; Bokor, Jozsef.

2017 25th Mediterranean Conference on Control and Automation, MED 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 271-276 7984130.

Research output: Conference contribution

Baar, T, Bauer, P, Szabó, Z, Vanek, B & Bokor, J 2017, Evaluation of multiple model adaptive estimation of aircraft airspeed in close to real conditions. in 2017 25th Mediterranean Conference on Control and Automation, MED 2017., 7984130, Institute of Electrical and Electronics Engineers Inc., pp. 271-276, 25th Mediterranean Conference on Control and Automation, MED 2017, Valletta, Malta, 7/3/17. https://doi.org/10.1109/MED.2017.7984130
Baar T, Bauer P, Szabó Z, Vanek B, Bokor J. Evaluation of multiple model adaptive estimation of aircraft airspeed in close to real conditions. In 2017 25th Mediterranean Conference on Control and Automation, MED 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 271-276. 7984130 https://doi.org/10.1109/MED.2017.7984130
Baar, Tamas ; Bauer, Peter ; Szabó, Z. ; Vanek, Balint ; Bokor, Jozsef. / Evaluation of multiple model adaptive estimation of aircraft airspeed in close to real conditions. 2017 25th Mediterranean Conference on Control and Automation, MED 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 271-276
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