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Proceedings of 2013 Chinese Intelligent Automation Conference pp 377–384Cite as

TiltRotor Aircraft Flight Control Study Based on Fuzzy Logic Control via Genetic Algorithm

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 254))

Abstract

Tiltrotor aircraft combines the vertical takeoff and Landing (VTOL) capability of helicopters with the high speed performance of turboprop airplanes. A longitudinal rigid body tiltrotor model is developed in this paper. Because it is very difficult to obtain the accuracy model, this paper investigates the theory about the fuzzy logic control and genetic algorithm. Then this theory is used to design the tiltrotor aircraft flight controller. Numerical methods are investigated and numerical simulation is conducted to account for the good flight controller designed based on Fuzzy Logic control via GA of the tiltrotor aircraft.

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References

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Author information

Authors and Affiliations

  1. Department of Engineering, Xijing University, Xi’an ChangAn Qu, Xijing Road No.1, 710123, Xi’an, China

    Heng Chen, Xu Wang & Tengfei Lei

Authors
  1. Heng Chen
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  2. Xu Wang
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  3. Tengfei Lei
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Corresponding author

Correspondence to Heng Chen .

Editor information

Editors and Affiliations

  1. , Department of Computer Science, Tsinghua University, Qinghua, Beijing, 100084, China, People's Republic

    Zengqi Sun

  2. Tsinghua University, Qinghua, Beijing, 100084, China, People's Republic

    Zhidong Deng

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© 2013 Springer-Verlag Berlin Heidelberg

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Cite this paper

Chen, H., Wang, X., Lei, T. (2013). TiltRotor Aircraft Flight Control Study Based on Fuzzy Logic Control via Genetic Algorithm. In: Sun, Z., Deng, Z. (eds) Proceedings of 2013 Chinese Intelligent Automation Conference. Lecture Notes in Electrical Engineering, vol 254. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38524-7_41

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  • DOI: https://doi.org/10.1007/978-3-642-38524-7_41

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38523-0

  • Online ISBN: 978-3-642-38524-7

  • eBook Packages: EngineeringEngineering (R0)

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