Parameter estimation techniques for helicopter dynamic modelling

Ping Li; Ian Postlethwaite; Matthew Turner

doi:10.1109/ACC.2007.4282197

Parameter estimation techniques for helicopter dynamic modelling

Ping Li, Ian Postlethwaite, Matthew Turner

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

5 Citations (Scopus)

Abstract

This paper investigates the problem of estimating parameters in a state-space helicopter dynamical model for helicopter controller design and evaluation. Two methods, PEM (the prediction error method) and RBPF (the Rao- Blackwellized particle filter-based method), are presented in the paper. Computer simulations are carried out to assess and compare the performance of the two methods with different assumptions on the initial conditions of the parameters to be estimated. Based on this assessment, an estimation scheme that combines the two methods is proposed. The proposed scheme is then applied to real data from EH101 helicopter flight tests and a vertical model including rotor coning dynamics is identified.

Original language	English
Title of host publication	Proceedings of the 2007 American Control Conference
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	2938-2943
ISBN (Print)	978-1424409884
DOIs	https://doi.org/10.1109/ACC.2007.4282197
Publication status	Published - 2007
Event	ACC '07: American Control Conference, 2007 - New York Duration: 1 Jan 2007 → …

Conference

Conference	ACC '07: American Control Conference, 2007
Period	1/01/07 → …

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10.1109/ACC.2007.4282197

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title = "Parameter estimation techniques for helicopter dynamic modelling",

abstract = "This paper investigates the problem of estimating parameters in a state-space helicopter dynamical model for helicopter controller design and evaluation. Two methods, PEM (the prediction error method) and RBPF (the Rao- Blackwellized particle filter-based method), are presented in the paper. Computer simulations are carried out to assess and compare the performance of the two methods with different assumptions on the initial conditions of the parameters to be estimated. Based on this assessment, an estimation scheme that combines the two methods is proposed. The proposed scheme is then applied to real data from EH101 helicopter flight tests and a vertical model including rotor coning dynamics is identified.",

author = "Ping Li and Ian Postlethwaite and Matthew Turner",

note = "Proceedings of the 2007 ACC '07: American Control Conference, held in New York, USA from 9-13 July 2007.; ACC '07: American Control Conference, 2007 ; Conference date: 01-01-2007",

year = "2007",

doi = "10.1109/ACC.2007.4282197",

language = "English",

isbn = "978-1424409884",

pages = "2938--2943",

booktitle = "Proceedings of the 2007 American Control Conference",

publisher = "IEEE",

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T1 - Parameter estimation techniques for helicopter dynamic modelling

AU - Li, Ping

AU - Postlethwaite, Ian

AU - Turner, Matthew

N1 - Proceedings of the 2007 ACC '07: American Control Conference, held in New York, USA from 9-13 July 2007.

PY - 2007

Y1 - 2007

N2 - This paper investigates the problem of estimating parameters in a state-space helicopter dynamical model for helicopter controller design and evaluation. Two methods, PEM (the prediction error method) and RBPF (the Rao- Blackwellized particle filter-based method), are presented in the paper. Computer simulations are carried out to assess and compare the performance of the two methods with different assumptions on the initial conditions of the parameters to be estimated. Based on this assessment, an estimation scheme that combines the two methods is proposed. The proposed scheme is then applied to real data from EH101 helicopter flight tests and a vertical model including rotor coning dynamics is identified.

AB - This paper investigates the problem of estimating parameters in a state-space helicopter dynamical model for helicopter controller design and evaluation. Two methods, PEM (the prediction error method) and RBPF (the Rao- Blackwellized particle filter-based method), are presented in the paper. Computer simulations are carried out to assess and compare the performance of the two methods with different assumptions on the initial conditions of the parameters to be estimated. Based on this assessment, an estimation scheme that combines the two methods is proposed. The proposed scheme is then applied to real data from EH101 helicopter flight tests and a vertical model including rotor coning dynamics is identified.

U2 - 10.1109/ACC.2007.4282197

DO - 10.1109/ACC.2007.4282197

M3 - Chapter

SN - 978-1424409884

SP - 2938

EP - 2943

BT - Proceedings of the 2007 American Control Conference

PB - IEEE

CY - Piscataway, NJ

T2 - ACC '07: American Control Conference, 2007

Y2 - 1 January 2007

ER -

Parameter estimation techniques for helicopter dynamic modelling

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