Skip to main content
SpringerLink
Log in

Adaptive Neural Network Control of Helicopters

  • Conference paper
Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3973))

Included in the following conference series:

Abstract

In this paper, we propose robust adaptive neural network (NN) control for helicopter systems by using the Implicit Function Theorem and the Mean Value Theorem, which are useful tools for handling nonlinear nonaffine systems. We focus on single-input single-output (SISO) helicopter systems, which are exemplified by certain single-channel modes of operation, such as vertical flight and pitch regulation, and also by special conditions under which the multiple channels become decoupled. It is shown that under the proposed NN control, the output tracking error converges to a small neighbourhood of the origin, while all closed loop signals are Semi-Globally Uniformly Ultimately Bounded (SGUUB).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Sira-Ramirez, H., Zribi, M., Ahmad, S.: Dynamical Sliding Mode Control Approach for Vertical Flight Regulation in Helicopters. IEE Proc. - Control Theory Appl. 141, 19–24 (1994)

    Article  MATH  Google Scholar 

  2. Vilchis, J.A., Brogliato, B., Dzul, A., Lozano, R.: Nonlinear Modelling and Control of Helicopters. Automatica 39, 1583–1596 (2003)

    Article  MATH  Google Scholar 

  3. Koo, T.J., Sastry, S.: Output Tracking Control Design of a Helicopter Model Based on Approximate Linearization. In: Proc. 37th IEEE Conf. Decision & Control, Tampa, Florida, USA, pp. 3635–3640 (1998)

    Google Scholar 

  4. Isidori, A., Marconi, L., Serrani, A.: Robust Nonlinear Motion Control of a Helicopter. IEEE Trans. Automatic Control 48, 413–426 (2003)

    Article  MathSciNet  Google Scholar 

  5. Kim, N., Calise, A., Corban, J., Prasad, J.: Adaptive Output Feedback for Altitude Control of an Unmanned Helicopter Using Rotor RPM. In: Proc. AIAA Guidance, Navigation and Control Conference, pp. 3635–3640 (2004)

    Google Scholar 

  6. Hovakimyan, N., Nardi, F., Calise, A., Kim, N.: Adaptive Output Feedback Control of Uncertain Nonlinear Systems Using Single-Hidden-Layer Neural Networks. IEEE Trans. Neural Networks 13, 1420–1431 (2002)

    Article  Google Scholar 

  7. Enns, R., Si, J.: Helicopter Trimming and Tracking Control Using Direct Neural Dynamic Programming. IEEE Trans. Neural Networks 14, 929–939 (2003)

    Article  Google Scholar 

  8. Ge, S.S., Wang, C.: Adaptive NN Control of Uncertain Nonlinear Pure-Feedback System. Automatica 38, 671–682 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  9. Ge, S.S., Zhang, J.: Neural Network Control of Nonaffine Nonlinear System with Zero Dynamics by State and Output Feedback. IEEE Trans. Neural Networks 14, 900–918 (2003)

    Article  Google Scholar 

  10. Ge, S.S., Wang, C.: Adaptive Neural Control of Uncertain MIMO Nonlinear Systems. IEEE Trans. Neural Networks 15, 674–692 (2004)

    Article  Google Scholar 

  11. Apostol, T.M.: Mathematical Analysis, 2nd edn. Addison-Wesley, Reading (1974)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electrical & Computer Engineering, National University of Singapore, 117576, Singapore

    Shuzhi Sam Ge & Keng-Peng Tee

Authors
  1. Shuzhi Sam Ge
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Keng-Peng Tee
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd, 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ge, S.S., Tee, KP. (2006). Adaptive Neural Network Control of Helicopters. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760191_12

Download citation

  • DOI: https://doi.org/10.1007/11760191_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34482-7

  • Online ISBN: 978-3-540-34483-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation