Researching Attitude-control Algorithm of Ejection Seats based on Time-sharing Strategy

Minghuan Zhang, Ming Wu, Yu Su, Cheng Zhang

2016

Abstract

An attitude-control algorithm for ejection seats on “H” shaped motor is presented in this paper. The control algorithm is based on time-sharing strategy, and the parameters in algorithm are optimized by using PSO method. Through simulating under Matlab/Simulink in different ejection conditions, the infection of time-sharing strategy in attitude-control is analyzed, and the minimum safe altitude is compared with K36D-3.5A, ACES II and 120 ejection conditions in GJB 1800A-2007. The simulation results and analysis show that this control algorithm on “H” shaped motor can improve escape performance at low-altitude and adverse-attitude, thus proving the algorithm in this paper to be reliable and effective.

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Paper Citation


in Harvard Style

Zhang M., Wu M., Su Y. and Zhang C. (2016). Researching Attitude-control Algorithm of Ejection Seats based on Time-sharing Strategy . In Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-198-4, pages 262-267. DOI: 10.5220/0005975702620267

in Bibtex Style

@conference{icinco16,
author={Minghuan Zhang and Ming Wu and Yu Su and Cheng Zhang},
title={Researching Attitude-control Algorithm of Ejection Seats based on Time-sharing Strategy},
booktitle={Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2016},
pages={262-267},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005975702620267},
isbn={978-989-758-198-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Researching Attitude-control Algorithm of Ejection Seats based on Time-sharing Strategy
SN - 978-989-758-198-4
AU - Zhang M.
AU - Wu M.
AU - Su Y.
AU - Zhang C.
PY - 2016
SP - 262
EP - 267
DO - 10.5220/0005975702620267