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Dynamic IBVS of a rotary wing UAV using line features

  • Hui Xie (a1), Alan F. Lynch (a1) and Martin Jagersand (a2)

Summary

In this paper we propose a dynamic image-based visual servoing (IBVS) control for a rotary wing unmanned aerial vehicle (UAV) which directly accounts for the vehicle's underactuated dynamic model. The motion control objective is to follow parallel lines and is motivated by power line inspection tasks where the UAV's relative position and orientation to the lines are controlled. The design is based on a virtual camera whose motion follows the onboard physical camera but which is constrained to point downwards independent of the vehicle's roll and pitch angles. A set of image features is proposed for the lines projected into the virtual camera frame. These features are chosen to simplify the interaction matrix which in turn leads to a simpler IBVS control design which is globally asymptotically stable. The proposed scheme is adaptive and therefore does not require depth estimation. Simulation results are presented to illustrate the performance of the proposed control and its robustness to calibration parameter error.

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Corresponding author

*Corresponding author. Email: alan.lynch@ualberta.ca

References

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1. Kendoul, F., “Survey of advances in guidance, navigation, and control of unmanned rotorcraft systems,” J. Field Robot. 29 (2), 315378 (2012).
2. R&D Program Office, System Planning and Asset Management Div., BCTC, Transmission Technology Roadmap: Pathways to BC's Future Grid (2008).
3. Whitworth, C., Duller, A., Jones, D. and Earp, G., “Aerial video inspection of overhead power lines,” Power Eng. J. 15, 2532 (Feb. 2001).
4. Azinheira, J. R. and Rives, P., “Image-based visual servoing for vanishing features and ground lines tracking: Application to a UAV automatic landing,” Int. J. Optomechatronics 2 (3), 275295 (2008).
5. Chaumette, F. and Hutchinson, S., “Visual servo control part I: Basic approaches,” IEEE Robot. Autom. Mag. 13 (4), 8290 (2006).
6. Chaumette, F. and Hutchinson, S., “Visual servo control part II: Advanced approaches,” IEEE Robot. Autom. Mag. 14 (1), 109118 (2007).
7. Rondon, E., Garcia-Carrillo, L.-R. and Fantoni, I., “Vision-Based Altitude, Position and Speed Regulation of a Quadrotor Rotorcraft,” Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, (Taipei, Taiwan) (Oct. 2010) pp. 628–633.
8. Carrillo, L., Flores Colunga, G., Sanahuja, G. and Lozano, R., “Quad rotorcraft switching control: An application for the task of path following,” IEEE Trans. Control Syst. Technol. 22 (4), 12551267 (2014).
9. Espiau, B., “Effect of camera calibration errors on visual servoing in robotics,” In: Experimental Robotics III (Yoshikawa, T. and Miyazaki, F., eds.) Lecture Notes in Control and Information Sciences, vol. 200 (Springer, Berlin, 1994) pp. 182192.
10. Corke, P. and Good, M., “Dynamic Effects in High-Performance Visual Servoing,” Proceedings of the 1992 IEEE International Conference on Robotics and Automation, Nice, France (May 1992) pp. 1838–1843.
11. Komuro, T., Iwashita, A. and Ishikawa, M., “A QVGA-size pixel-parallel image processor for 1,000-FPS vision,” IEEE Micro 29 (6), 5867 (2009).
12. Hamel, T. and Mahony, R., “Visual servoing of an under-actuated dynamic rigid-body system: an image-based approach,” IEEE Trans. Robot. Autom. 18 (2), 187198 (2002).
13. Bourquardez, O., Mahony, R., Guenard, N., Chaumette, F., Hamel, T. and Eck, L., “Image-based visual servo control of the translation kinematics of a quadrotor aerial vehicle,” IEEE Trans. Robot. 25 (3), 743749 (2009).
14. Mahony, R. and Hamel, T., “Image-based visual servo control of aerial robotic systems using linear image features,” IEEE Trans. Robot. 21 (2), 227239 (2005).
15. Metni, N., Hamel, T. and Derkx, F., “Visual Tracking Control of Aerial Robotic Systems with Adaptive Depth Estimation,” Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, Seville, Spain (Dec. 2005) pp. 6078–6084.
16. de Plinval, H., Morin, P., Mouyon, P. and Hamel, T., “Visual Servoing for Underactuated VTOL UAVs: A Linear, Homography-Based Approach,” Proceedings of the 2011 IEEE International Conference on Robotics and Automation, Shanghai, China (May 2011) pp. 3004–3010.
17. de Plinval, H., Morin, P., Mouyon, P. and Hamel, T., “Visual servoing for underactuated VTOL UAVs: A linear, homography-based framework,” Int. J. Robust Nonlinear 24 (16), 22852308 (2014).
18. Ozawa, R. and Chaumette, F., “Dynamic Visual Servoing with Image Moments for a Quadrotor using a Virtual Spring Approach,” Proceedings of the 2011 IEEE International Conference on Robotics and Automation, Shanghai, China (May 2011) pp. 5670–5676.
19. Ozawa, R. and Chaumette, F., “Dynamic visual servoing with image moments for an unmanned aerial vehicle using a virtual spring approach,” Adv. Robotics 27 (9), 683696 (2013).
20. Jabbari, H., Oriolo, G. and Bolandi, H., “An adaptive scheme for image-based visual servoing of an underactuated UAV,” Int. J. Robot. Autom. 29 (1), 92104 (2014).
21. Espiau, B., Chaumette, F. and Rives, P., “A new approach to visual servoing in robotics,” IEEE Trans. Robot. Autom. 8 (3), 313326 (1992).
22. Godbolt, B., Experimental Nonlinear Control of a Helicopter Unmanned Aerial Vehicle (UAV) Ph.D. Thesis (Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, 2013).
23. De Luca, A., Oriolo, G. and Robuffo Giordano, P., “Feature depth observation for image-based visual servoing: Theory and experiments,” Int. J. Robot. Res. 27 (10), 10931116 (2008).
24. Tahri, O. and Chaumette, F., “Point-based and region-based image moments for visual servoing of planar objects,” IEEE Trans. Robot. 21 (6), 11161127 (2005).
25. Guenard, N., Hamel, T. and Mahony, R., “A practical visual servo control for an unmanned aerial vehicle,” IEEE Trans. Robot. 24 (2), 331340 (2008).
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Robotica
  • ISSN: 0263-5747
  • EISSN: 1469-8668
  • URL: /core/journals/robotica
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