Vehicle Angular Variation Control Based on State Space Model

doi:10.12068/j.issn.1005-3026.2017.10.011

Journal of Northeastern University Natural Science ›› 2017, Vol. 38 ›› Issue (10): 1421-1425.DOI: 10.12068/j.issn.1005-3026.2017.10.011

• Mechanical Engineering • Previous Articles Next Articles

Vehicle Angular Variation Control Based on State Space Model

NING Dan-feng^1,2， CHEN Wan-chun¹， YANG Ming-hui²， SUN Yan-jie²

1. School of Astronautics， Beijing University of Aeronautics and Astronautics， Beijing 100083， China; 2. Beijing Aerospace New Wind Machinery Co.， Ltd.， Beijing 100854， China.

Received:2016-03-28 Revised:2016-03-28 Online:2017-10-15 Published:2017-10-13
Contact: NING Dan-feng
About author:-
Supported by:
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Abstract

Abstract: Minimized angular variation stage-by-stage method (MAVSM) and minimized the final angle variation method (MFAVM) were proposed based on the state space model for vehicle assembly， and compared with the direct assembly method (DAM). The results showed that the angular variation of DAM follows the Rice distribution， and increases with the stage. The MAVSM and MFAVM follow generalized extreme value distribution. MAVSM is not affected by the stage， but the mean and standard deviation of angle variation decrease with the stage and converge at 0 for MFAVM.

Key words: state space model, vehicle, assembly, Monte Carlo simulation, variation control

CLC Number:

TP391

NING Dan-feng， CHEN Wan-chun， YANG Ming-hui， SUN Yan-jie. Vehicle Angular Variation Control Based on State Space Model[J]. Journal of Northeastern University Natural Science, 2017, 38(10): 1421-1425.

References

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Vehicle Angular Variation Control Based on State Space Model

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