Skip to main content
SpringerLink
Log in

A Dynamic Power Consumption Estimation Method of Electro-mechanical Actuator for UAV Modeling and Simulation

  • Original Paper
  • Published:
International Journal of Aeronautical and Space Sciences Aims and scope Submit manuscript

Abstract

The number of EMA (Electro-mechanical actuator)-based UAVs (unmanned air vehicle) are on the rise. The EMAs are generally applied to UAV as primary and secondary flight control surfaces actuator, speed or air brake actuator, door actuator, landing gears and so on. Since all EMAs are expressed as 2nd- or 3rd-order simplified mathematical models in M&S (modeling and simulation) phase, dynamic estimation of the EMAs power consumption is almost impossible and it causes battery/generator sizing problems in the design phase. Especially for UAVs that have all EMAs for the primary and secondary flight control actuators, electric power consumption is increased in flight because of hinge moments of the control surfaces caused by air pressure during flight. In this thesis, we provide a method for dynamic power consumption estimation of the primary and secondary control surface EMAs for M&S through the electro-mechanical dynamics and aerodynamics. Not only simulation results but also successful flight test results are presented in this work.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  1. ER Mueller (2007) Hardware-in-the-loop simulation design for evaluation of unmanned aerial vehicle control systems. AIAA modeling and simulation technologies conference and exhibit 20–23 August 2007, Hilton Head, South Carolina

  2. MA Cooper (2014) Simulating actuator energy demands of an aircraft in flight. Ph.D. Thesis in Cranfield University

  3. Chakraborty I, Mavris DN (2014) A System and Mission Level Analysis of Electrically Actuated Flight Control Surfaces using Pacelab SysArc. AIAA Science and Technology Forum and Exposition (SciTech), At National Harbor, Maryland, USA

  4. Mezher LS (2021) Speed control for servo DC motor with different tuning PID controller with labview. J Mech Eng Res Develop 44(1):294–303

    Google Scholar 

  5. Salloum R, Moaveni B, Arvan MR (2014) Robust PID controller design for a real electromechanical actuator. Acta Polytechnica Hungarica 11(5):125–144

    Google Scholar 

  6. Alarçin F, Demirel H, Ertugrul MS, Yurtseven A (2010) Control of electro-mechanical actuator for aerospace applications. Strojarstvo 52(3):303–313

    Google Scholar 

  7. Cui YB, Zheng J, Ju YT, Xu J (2013) Precise angle control of electromechanical actuator with fuzzy PID and genetic algorithm. Appl Mech Mater 300–301:1479–1485

    Article  Google Scholar 

  8. Xiaofeng Z, Jun Y, Xiaoping Z (2010) Design of fuzzy adaptive controller for high precise electromechanical actuator. J Projectiles Rockets Missiles Guidance 30:30–32

    Google Scholar 

  9. Choudhary K, Qureshi MS, Singh B (2018) Position control of DC servo motor using improved sliding mode control techniques. Int J Appl Eng Res 13(8):15–19

    Google Scholar 

  10. Liu X, Yunjie Wu, Deng Y, Xiao S (2014) A global sliding mode controller for missile electromechanical actuator servo system. Proc Institut Mech Eng Part G 228(7):1095–1104

    Article  Google Scholar 

  11. YC Lee (2007) Design of electrical actuation system for guided missiles using time delay algorithm. Ph.D. Thesis in Chungnam National University

  12. Zhou M, Mao D, Zhang M, Guo L, Gong M (2018) A hybrid control with PID–improved sliding mode for flat-top of missile electromechanical actuator systems. Sensors 18:4449

    Article  Google Scholar 

  13. Han J, Wang H, Jiao G, Cui L, Wang Y (2018) Research on active disturbance rejection control technology of electromechanical actuators. Electronics 7:174

    Article  Google Scholar 

  14. Ristanovic MR, Lazic DV, Indin I (2008) Nonlinear PID controller modification of the electromechanical actuator system for aerofin control with a PWM controller DC motor. Automat Control Robot 7(1):131–139

    Google Scholar 

  15. Mahfouz AA, Mohammed MK, Salem FA (2013) Modeling, simulation and dynamics analysis issues of electric motor, for mechatronics applications, using different approaches and verification by MATLAB/simulink. Int J Intell Syst Appl 5:39

    Google Scholar 

  16. Ortiz X, Hemmatti A, Rival D, Wood D (2012) Instantaneous forces and moments on inclined flat plates. The Seventh International Colloquium on Bluff Body Aerodynamics and Applications, Shanghai

    Google Scholar 

  17. Open-Source Flight Simulator. Retrieved from https://www.flightgear.org. Accessed 1 Oct 2015

  18. Open Source Flight Dynamics Model. Retrieved from http://jsbsim.sourceforge.net. Accessed 11 Sep 2015

  19. Cross-Platform Application Development Framework. Retrieved from https://www.qt.io. Accessed 25 Sep 2015

Download references

Author information

Authors and Affiliations

  1. Koreanair R&D Center, Daejeon, South Korea

    Jae Gu Kang

  2. Agency for Defense Development, Daejeon, South Korea

    Jun Yong Kwon & Myoung Sup Lee

Authors
  1. Jae Gu Kang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jun Yong Kwon
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Myoung Sup Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jae Gu Kang.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kang, J.G., Kwon, J.Y. & Lee, M.S. A Dynamic Power Consumption Estimation Method of Electro-mechanical Actuator for UAV Modeling and Simulation. Int. J. Aeronaut. Space Sci. 23, 233–239 (2022). https://doi.org/10.1007/s42405-021-00417-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s42405-021-00417-4

Keywords

Search

Navigation