DOI QR코드

DOI QR Code

에어노드 기반 무선센서네트워크 구축을 위한 적응형 오르막경사법 기반의 자율무인비행로봇제어

Autonomous Unmanned Flying Robot Control for Reconfigurable Airborne Wireless Sensor Networks Using Adaptive Gradient Climbing Algorithm

  • Lee, Deok-Jin (Korean Air R&D Center & Electronics and Information Engineering Division, Chonbuk National University)
  • 투고 : 2010.07.21
  • 심사 : 2011.05.23
  • 발행 : 2011.05.31

초록

This paper describes efficient flight control algorithms for building a reconfigurable ad-hoc wireless sensor networks between nodes on the ground and airborne nodes mounted on autonomous vehicles to increase the operational range of an aerial robot or the communication connectivity. Two autonomous flight control algorithms based on adaptive gradient climbing approach are developed to steer the aerial vehicles to reach optimal locations for the maximum communication throughputs in the airborne sensor networks. The first autonomous vehicle control algorithm is presented for seeking the source of a scalar signal by directly using the extremum-seeking based forward surge control approach with no position information of the aerial vehicle. The second flight control algorithm is developed with the angular rate command by integrating an adaptive gradient climbing technique which uses an on-line gradient estimator to identify the derivative of a performance cost function. They incorporate the network performance into the feedback path to mitigate interference and noise. A communication propagation model is used to predict the link quality of the communication connectivity between distributed nodes. Simulation study is conducted to evaluate the effectiveness of the proposed reconfigurable airborne wireless networking control algorithms.

키워드

참고문헌

  1. D. A. Schoenwald, "AUVs: In Space, Air, Water, and on the Ground," IEEE Control Systems Magazine, Vol.20,No.6, pp.15-18, Dec. 2000. https://doi.org/10.1109/MCS.2000.887445
  2. C.-Y. Chong, and S. P. Kumar, "Sensor Networks: Evolution, Opportunities, and Challenges," Proceedings of the IEEE, Vol.91, No.8, pp.1247-1256, Aug. 2003. https://doi.org/10.1109/JPROC.2003.814918
  3. P. Ögren, E. Fiorelli, and N. Ehrich, "Cooperative Control of Mobile Sensor Networks: Adaptive Gradient Climbing in a Distributed Environment," IEEE Transactions on Automatic Control, Vol.49, No.8, pp.1292-1302, Aug. 2004. https://doi.org/10.1109/TAC.2004.832203
  4. P. Basu, J. Redi, and V. Shurbanov, "Coordinated Flocking of UAVs for Improved Connection of Mobile Ground Nodes," Proceedings of the IEEE Military Communications Conference, pp.1628-1634, 2004.
  5. D. P. Horner, and A. J. Healey, "Use of Artificial Potential Fields for UAV Guidance and Optimization of WLAN Communications," Proceedings of the 2004 IEEE/EOS Autonomous Underwater Vehicles Conference, Maine, pp.88-95, June 2004.
  6. E. W. Frew, and T. X. Brown, "Airborne Communication Networks for Small Unmanned Aircraft Systems," Proceedings of the IEEE, Vol.96, No.12, Dec. 2008.
  7. D.-J. Lee, and R. Mark, "Decentralized Control of Unmanned Aerial Robots for Wireless Airborne Communication Networks," International Journal of Advanced Robotic Systems, Vol.7, No.3, pp.191-200, 2010.
  8. K. B. Ariyur, and M. Krstic, Real-Time Optimization by Extremum Seeking Control, Hoboken, NJ, John Wiley & Sons, Inc., 2003.
  9. J. C. Spall, An Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control, Hoboken, NJ, John Wiley & Sons, Inc., 2003.
  10. A. Quarteroni, R. Sacco, and F. Saleri, Numerical Mathematics, New York, NY, Springer-Verlag, Inc., 2002.
  11. T. S. Rappaport, Wireless Communications: Principles and Practice, 2nd ed., Upper Saddle River, N.J., Prentice Hall PTR, 2002.
  12. B. L. Stevens, and F. L. Lewis, Aircraft Control and Simulation, 2nd ed., Hoboken, N.J., John Wiley & Sons, Inc., 2003.
  13. D.-J. Lee, I. Kaminer, K. D. Jones, and V. Dobrokhodov, "Autonomous Feature Following for Visual Surveillance Using a Small Unmanned Aerial Robot with a Gimbaled Camera," International Journal of Control, Automation, and Systems, Vol.8, No.5, pp.957-966, Oct. 2010. https://doi.org/10.1007/s12555-010-0504-1
  14. J. Cochran, and M. Krstic, "Nonholonomic Source Seeking with Tuning of Angular Velocity," IEEE Transactions on Automatic Control, Vol.54, No.4, pp. 717-731, April 2009. https://doi.org/10.1109/TAC.2009.2014927