Konferensartikel

Use of LMS Amesim® Model to Predict Behavior Impacts of Typical Failures in an Aircraft Hydraulic Brake System

Mário Maia Neto
Department of Mechanical Engineering, Aeronautical Institute of Technology, São José dos Campos, SP, Brazil

Luiz Carlos Sandoval Góes
Department of Mechanical Engineering, Aeronautical Institute of Technology, São José dos Campos, SP, Brazil

Ladda ner artikelhttp://dx.doi.org/10.3384/ecp1714429

Ingår i: Proceedings of 15:th Scandinavian International Conference on Fluid Power, June 7-9, 2017, Linköping, Sweden

Linköping Electronic Conference Proceedings 144:3, s. 29-43

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Publicerad: 2017-12-20

ISBN: 978-91-7685-369-6

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

The brake system performs an important, safety-related function in aircraft operation throughout the world nowadays. However, the requirement of an acceptable performance and satisfactory reliability has become stricter as the aircraft landing weights and speeds increased substantially along the last decades and the regulatory authorities improved their certification basis requirements aiming a safer operation. Therefore, the brake system design, architecture and functionalities have evolved through the years and the development of the antiskid system, part of the brake system of several aircraft since 1940s, comprised an important milestone in aircraft brake system history. Besides the main function of preventing the locking of braked wheels, the antiskid system is normally also responsible for avoiding wheel braking at the instant of the first contact of the tires with ground during landing. The system also provides indication to the crew in case of system failure and helps minimize the inadvertent yaw suffered by the aircraft in case of passage of the tires on surfaces with different friction coefficients. As a result, the appropriateness of the brake system performance, which is mostly supplied by hydraulic power in recent commercial and military aircraft, shall be completely verified in normal and faulty conditions, as well as in all expected operational envelope. For that purpose, model simulations, rig tests and flight test campaigns are usually applied. Therefore, the present work aims to demonstrate the use of a computational model of a hydraulic brake system, parameterized in LMS Amesim® software, to assess the behavior of system relevant variables in normal operational conditions and the potential effects of typical failures in system performance. In addition to help support the verification process of system compliance with performance and safety requirements, such approach could also be applied for early identification of failures and operational problems still during the product development phase, highlighting the gains of applying the aforementioned tool in the context of aeronautical systems engineering.

Nyckelord

System, Modeling, Amesim, Hydraulic, Failure

Referenser

[1] N S Currey. Aircraft Landing Gear Design: Principles and Practices, AIAA Education Series, Washington, 1998. ISBN 0930403-41-X.

[2] I Moir, and A Seabridge. Aircraft Systems: Mechanical, electrical, and avionics subsystems integration. 2. ed. Bury St Edmunds: Professional Engineering Publishing, 2001. pp. 91-124. ISBN 1-86058-289-3.

[3] Federal Aviation Administration. Flight Test Guide for Certification of Transport Category Airplanes. AC 25- 7C. Washington: U.S Department of Transportation, 2012.

[4] Society of Automotive Engineers. SAE Aerospace. AIR1739B: Information on Antiskid Systems. Warrendale, 2012.

[5] P Khapane. Simulation of Landing Gear Dynamics and Brake-Gear Interaction. Thesis (Doctor of Engineering), Technischen Universität Carolo-Wilhelmina zu Braunschweig, Braunschweig. 2008.

[6] P M Frank. Fault Diagnosis in Dynamic Systems Using Analytical and Knowledge-based Redundancy – A Survey and Some New Results. Automatica, v. 26, n. 3, pp. 459–474, 1990.

[7] J W Sheppard, and S G W Butcher. A Formal Analysis of Fault Diagnosis with D-Matrices. Journal of Electronic Testing: Theory and Applications, United States, v. 23, n. 4, pp. 309-322, August. 2007.

[8] R Isermann. Model-based fault-detection and diagnosis – status and applications. Annual Reviews in Control, v.29, n.1, pp.71-85, 2005.

[9] K Medjaher. A bond graph model-based fault detection and isolation. In: J Andrews, C H Bérenguer, and L Jackson. Maintenance Modelling and Applications. Det Norske Veritas, pp. 503-512, 2011. <https://hal.archives-ouvertes.fr/hal-00635549>.

[10] J C da Silva, A Saxena, E Balaban, and K Goebel. A Knowledge-based system approach for sensor fault modeling, detection and mitigation. Expert System with Applications: An International Journal, v.39, n.12, pp.10977-10989, September 2012.

[11] P J Feenstra, P J Mosterman, G Biswas, P C Breedveld. Bond Graph Modeling Procedures for Fault Detection and Isolation of Complex Flow Processes. Proc. Of International Conference on Bond Graph Modelling (ICBM’01), SCS Publishing, v.33, pp.77-82, 2001.

[12] M K Wahi, S M Warren, and H H Straub. An Extended Prediction Model for Airplane Braking Distance and a Specification for a Total Braking Prediction System: Volume I. Ohio: 1977. (ASD-TR-77-6 Vol.I).

[13] M K Wahi, S M Warren, and H H Straub. An Extended Prediction Model for Airplane Braking Distance and a Specification for a Total Braking Prediction System: Volume II. Ohio: 1977. (ASD-TR-77-6 Vol.II).

[14] E O Doebelin, System Dynamics: Modeling, Analysis, Simulation, Design. Marcel Dekker, New York, 1998, pp. 54-75, 206-255. ISBN 0-8247-0126-7

[15] LMS. AMESim Help. AMEHelp, 2013. [16] H E Merritt. Hydraulic Control Systems. John Wileys and Sons, Cincinnati, Ohio, 1967. ISBN 0-471-59617-5.

[17] D A Bailey. Investigation of Improvements in Aircraft Braking Design. Thesis (Doctor of Philosophy) - Cranfield University, Cranfield. 2004.

[18] Society of Automotive Engineers. SAE Aerospace. ARP4761: Guidelines and Methods for Conducting the Safety Assessment Process on Civil Airborne Systems and Equipment. Warrendale, 1996.

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