Skip to main content

Design of a Quadrotor Attitude Controller and Throttle Acceleration Autopilot Based on Forward Modeling

  • Conference paper
  • First Online:
Proceedings of the 5th China Aeronautical Science and Technology Conference

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 821))

Abstract

Quadrotors are currently of widespread use in many commercial and military applications, thus, any development aiming at increasing their flight performance is of considerable relevance. Both the model structure and main dynamical parameters of a quadrotor during forward flight are different from those present when hovering. This results in a poor performance of any controller designed for hovering equilibrium, when applied to forward flight scenarios. Aiming at this problem, we propose a design methodology for a quadrotor attitude controller and throttle acceleration autopilot, based on forward modeling. Firstly, the forward dynamics is modeled via system identification and designed experiment. Then, utilizing the linearization results, a frequency domain analysis method is investigated for tuning the parameters of attitude cascade PID controller of quadrotor. The three-layer structure requires it to be designed separately, where the inner loop solves the stability problem and the outer one improves the response performance. And this work regards crossover frequency and phase margin as indicators. Next, a novel closed-loop throttle autopilot with acceleration feedback is constructed to control the vertical movement fast and accurately. The control command in throttle channel is given from the relationship between equilibrium throttle and vertical acceleration, which will be processed by a PI correction and a first-order low-pass filter. Finally, the numerical simulations and comparisons are carried out to demonstrate the strong stability and transient behavior of the proposed scheme in different working regimes.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 349.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 449.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 449.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. John, M., Robert, L., Randal, B., Timothy, M.: Analysis of an improved IMU-based observer for multirotor helicopters. J. Intell. Robot. Syst. 74, 1049–1061 (2014)

    Article  Google Scholar 

  2. Cai, G., Chen, B.M., Lee, T.H.: Unmanned Rotorcraft Systems, Springer, London (2011). https://doi.org/10.1007/978-0-85729-635-1

  3. Zubowicz, T., Arminski, K., Kusalewicz, A.: Quadrotor flight controller design using classical tools. Int. J. Control Autom. Syst. 18(3), 730–738 (2020). https://doi.org/10.1007/s12555-018-0710-9

    Article  Google Scholar 

  4. Barcelos, D., Kolaei, A., Bramesfeld, G.: Aerodynamic interactions of quadrotor configurations. J. Aircr. 57, 1–17 (2020)

    Article  Google Scholar 

  5. Tischler, M.B., Remple, R.K.: Aircraft and Rotorcraft System Identification (2006)

    Google Scholar 

  6. Li, J., Li, Y.: Dynamic analysis and PID control for a quadrotor. In: Proceedings of the 2011 IEEE International Conference on Mechatronics and Automation, Beijing, China, 7–10 August 2011, pp. 573–578 (2011)

    Google Scholar 

  7. Bouabdallah, S., North, A., Siegwart, R.: PID vs LQ control techniques applied to an indoor micro quadrotor. In: Proceedings of the IEEE International Conference of Intelligent Robots Systems, Sendai, Japan, 28 September–2 October 2004, pp. 2451–2456 (2004)

    Google Scholar 

  8. Bolandi, H., Rezaei, M., Mohsenipour, R., Nemati, H., Smailzadeh, S.M.: Attitude control of a quadrotor with optimized PID controller. Intell. Control Autom. 4, 335–342 (2013)

    Article  Google Scholar 

  9. Ha, C., Zuo, Z., Choi, F.B., Lee, D.: Passivity-based adaptive backstepping control of quadrotor-type UAVs. Robot. Auton. Syst. 62(9), 1305–1315 (2014)

    Article  Google Scholar 

  10. Lu, H., Liu, C.J., Guo, L., et al.: Flight control design for small-scale helicopters using with disturbance-observer-based backstepping. J. Guid. Control Dyn. 38(11), 2235–2240 (2015)

    Google Scholar 

  11. Abdolhosseini, M., Zhang, Y.M., Rabbath, C.A.: An efficient model predictive control scheme for an unmanned quadrotor helicopter. J. Intell. Rob. Syst. 70(1), 27–38 (2013)

    Article  Google Scholar 

  12. Chikasha, P.N., Dube, C.: Adoptive model predictive control of a quadrotor. In: Proceedings of World Congress of International Federation of Automatic Control, Toulouse, France, 9–14 July 2017, vol. 50, no. 2, pp. 157–162 (2017)

    Google Scholar 

  13. Erginer, B., Altug, E.: Design and implementation of a hybrid fuzzy logic controller for a quadrotor VTOL vehicle. Int. J. Control Autom. Syst. 10(1), 61–70 (2012)

    Article  Google Scholar 

  14. Tang, P., Lin, D., Zheng, D., et al.: Observer based finite-time fault tolerant quadrotor attitude control with actuator faults. Aerosp. Sci. Technol. 104, 105968 (2020)

    Article  Google Scholar 

  15. Yu, Y.: Research on full flight envelope modeling and identification of quadrotor vehicle. Beijing Institute of Technology, Beijing, China (2020)

    Google Scholar 

  16. Wei, W., Tischler, M.B., Cohen, K.: System identification and controller optimization of a quadrotor unmanned aerial vehicle in hover. J. Am. Helicopter Soc. 62(4), 042007.1–042007.9 (2017)

    Article  Google Scholar 

  17. Yu, Y., Liang, Y., Song, T., Lin, D.: Full flight envelope modeling of quadrotor vehicle based on model stitching technique. Acta Aeronautica et Astronautica Sinica 41(S2), 724321 (2020). (in Chinese)

    Google Scholar 

  18. Yu, Y., Tang, P., Song, T., Lin, D.: A two-step method for system identification of low-cost quadrotor. Aerosp. Sci. Technol. 96, 105551 (2019)

    Article  Google Scholar 

  19. Sun, S., de Visser, C.C., Chu, Q.: Quadrotor gray-box model identification from high-speed flight data. J. Aircr. 56(2), 645–661 (2018)

    Article  Google Scholar 

Download references

Acknowledgement

The authors are grateful to Prof. Lin, Prof. Song and Dr. Li for discussions. They also thank the anonymous reviewers for their critical and constructive review of the manuscript. This study was co-supported by the Key Laboratory of UAV Autonomous Control Research of Beijing and the National Natural Science Foundation of China (No. U1613225).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tao Song .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Guo, K., Lin, D., Li, B., Song, T., Zang, L., Yuan, Y. (2022). Design of a Quadrotor Attitude Controller and Throttle Acceleration Autopilot Based on Forward Modeling. In: Proceedings of the 5th China Aeronautical Science and Technology Conference. Lecture Notes in Electrical Engineering, vol 821. Springer, Singapore. https://doi.org/10.1007/978-981-16-7423-5_36

Download citation

  • DOI: https://doi.org/10.1007/978-981-16-7423-5_36

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-7422-8

  • Online ISBN: 978-981-16-7423-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics