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Research Articles

Image-based prescribed performance visual servoing control of a QUAV with hysteresis quantised input

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Pages 1774-1789 | Received 04 Nov 2022, Accepted 22 Apr 2023, Published online: 12 May 2023

References

  • Bechlioulis, C. P., & Rovithakis, G. A. (2008). Robust adaptive control of feedback linearizable MIMO nonlinear systems with prescribed performance. IEEE Transactions on Automatic Control, 53(9), 2090–2099. https://doi.org/10.1109/TAC.2008.929402
  • Bechlioulis, C. P., & Rovithakis, G. A. (2010). Prescribed performance adaptive control for multi-input multi-output affine in the control nonlinear systems. IEEE Transactions on Automatic Control, 55(5), 1220–1226. https://doi.org/10.1109/TAC.2010.2042508
  • Bouabdallah, S. (2007). Design and control of quadrotors with application to autonomous flying [Ph.D. thesis]. Dissertation, Dept. Mech. Eng. EcolePoly technique federale de Lausanne, Lausanne, Switzerland, 2007.
  • Bourquardez, O., Mahony, R., Guenard, N., Chaumette, F., Hamel, T., & Eck, L. (2009). Image-based visual servo control of the translation kinematics of a quadrotor aerial vehicle. IEEE Transactions on Robotics, 25(3), 743–749. https://doi.org/10.1109/TRO.2008.2011419
  • Bucki, N., Tang, J., & Mueller, M. W. (2022). Design and control of a midair-reconfigurable quadcopter using unactuated hinges. IEEE Transactions on Robotics. https://doi.org/10.1109/TRO.2022.3193792
  • Chaumette, F. (2004). Image moments: A general and useful set of features for visual servoing. IEEE Transactions on Robotics, 20(4), 713–723. https://doi.org/10.1109/TRO.2004.829463
  • Chaumette, F., & Hutchinson, S. (2006). Visual servo control. I. Basic approaches. IEEE Robotics & Automation Magazine, 13(4), 82–90. https://doi.org/10.1109/MRA.2006.250573
  • Chen, J., Hua, C., & Guan, X. (2019). Image based fixed time visual servoing control for the quadrotor UAV. IET Control Theory & Applications, 13(18), 3117–3123. https://doi.org/10.1049/cth2.v13.18
  • Fan, X., Bai, P., Li, H., Deng, X., & Lv, M. (2020). Adaptive fuzzy finite-time tracking control of uncertain non-affine multi-agent systems with input quantization. IEEE Access, 8, 187623–187633. https://doi.org/10.1109/Access.6287639
  • Gardner, M., & Jia, Y. -B. (2022). Pose and motion estimation of free-flying objects: aerodynamics, constrained filtering, and graph-based feature tracking. IEEE Transactions on Robotics, 38(5), 3187–3202. https://doi.org/10.1109/TRO.2022.3165367
  • Guenard, N., Hamel, T., & Mahony, R. (2008). A practical visual servo control for an unmanned aerial vehicle. IEEE Transactions on Robotics, 24(2), 331–340. https://doi.org/10.1109/TRO.2008.916666
  • Hamel, T., & Mahony, R. (2002). Visual servoing of an under-actuated dynamic rigid-body system: An image-based approach. IEEE Transactions on Robotics and Automation, 18(2), 187–198. https://doi.org/10.1109/TRA.2002.999647
  • He, S., Xu, Y., Li, D., & Xi, Y. (2022). Eye-in-hand visual servoing control of robot manipulators based on an input mapping method. IEEE Transactions on Control Systems Technology. https://doi.org/10.1109/TCST.2022.3172571
  • Heng, L., Honegger, D., Lee, G. H., Meier, L., & Tanskanen, P. (2014). Autonomous visual mapping and exploration with a micro aerial vehicle. Journal of Field Robotics, 31(4), 654–675. https://doi.org/10.1002/rob.21520
  • Huang, P., Wang, D., Meng, Z., Zhang, F., & Liu, Z. (2016). Impact dynamic modeling and adaptive target capturing control for tethered space robots with uncertainties. IEEE/ASME Transactions on Mechatronics, 21(5), 2260–2271. https://doi.org/10.1109/TMECH.2016.2569466
  • Islam, S., Mukhtar, H., & Dias, J. (2020). Image guided visual tracking control system for unmanned multirotor aerial vehicle with uncertainty. Robotics, 9(4), 103. https://doi.org/10.3390/robotics9040103
  • Jabbari, H., Oriolo, G., & Bolandi, H. (2012). Dynamic IBVS control of an underactuated UAV. In Proceedings IEEE International Conference on Robotics and Biomimetics (pp. 1158–1163). IEEE.
  • Jabbari, H., Oriolo, G., & Bolandi, H. (2014). An adaptive scheme for image based visual servoing of an underactuated UAV. International Journal of Robotics and Automation, 29(29), 92–104. https://doi.org/10.2316/Journal.206.2014.1.206-3942.
  • Janabi-Sharifi, F., Deng, L., & Wilson, W. J. (2011). Comparison of basic visual servoing methods. IEEE/ASME Transactions on Mechatronics, 16(5), 967–983. https://doi.org/10.1109/TMECH.2010.2063710
  • Kendoul, F., Fantoni, I., & Lozano, R. (2008). Asymptotic stability of hierarchical inner–outer loop-based flight controllers. In Proceedings of the 17th IFAC World Congress (pp. 1741–1746). IFAC.
  • Kendoul, F., Fantoni, I., & Nonami, K. (2009). Optic flow-based vision system for autonomous 3D localization and control of small aerial vehicles. Robotics and Autonomous Systems, 57(6-7), 591–602. https://doi.org/10.1016/j.robot.2009.02.001
  • Li, M., Cai, Z., Zhao, J., Wang, Y., Wang, Y., & Lu, K. (2021). MNNMs integrated control for UAV autonomous tracking randomly moving target based on learning method. Sensors, 21(21), 7307. https://doi.org/10.3390/s21217307
  • Li, P., Garratt, M., Lambert, A., & Lin, S. (2016). Metric sensing and control of a quadrotor using a homography-based visual inertial fusion method. Robotics and Autonomous Systems, 76, 1–14. https://doi.org/10.1016/j.robot.2015.11.011
  • Li, Y. X., & Yang, G. H. (2016). Adaptive asymptotic tracking control of uncertain nonlinear systems with input quantization and actuator faults. Automatica, 72, 177–185. https://doi.org/10.1016/j.automatica.2016.06.008
  • Lim, H., Park, J., Lee, D., & Kim, H. J. (2012). Build your own quadrotor: Open-source projects on unmanned aerial vehicles. IEEE Robotics & Automation Magazine, 19(3), 33–45. https://doi.org/10.1109/MRA.2012.2205629
  • Ma, H., Zhou, Q., Li, H., & Lu, R. (2021). Adaptive prescribed performance control of a flexible-joint robotic manipulator with dynamic uncertainties. IEEE Transactions on Cybernetics. https://doi.org/10.1109/TCYB.2021.3091531
  • Mebarki, R., Lippiello, V., & Siciliano, B. (2016). Nonlinear visual control of unmanned aerial vehicles in GPS-denied environments. IEEE Transactions on Robotics, 31(4), 1004–1017. https://doi.org/10.1109/TRO.2015.2451371
  • Rao, J., Li, B., Zhang, Z., Chen, D., & Giernacki, W. (2022). Position control of quadrotor UAV based on cascade fuzzy neural network. Energies, 15(5), 1763. https://doi.org/10.3390/en15051763
  • Rehan, M., Tufail, M., Ahn, C. K., & Chadli, M. (2017). Stabilisation of locally Lipschitz non-linear systems under input saturation and quantisation. IET Control Theory & Applications, 11(9), 1459–1466. https://doi.org/10.1049/cth2.v11.9
  • Roberts, A., & Tayebi, A. (2011). Adaptive position tracking of VTOL UAVs. IEEE Transactions on Robotics, 27(1), 129–142. https://doi.org/10.1109/TRO.2010.2092870
  • Roelofsen, S., Gillet, D., & Martinoli, A. (2015). Reciprocal collision avoidance for quadrotors using on-board visual detection. In Proceedings of IEEE International Conference on Intelligent Robots and Systems (pp. 4810–4817). IEEE.
  • Rosa, L., Hamel, T., Mahony, R., & Samson, C. (2014). Optical-flow based strategies for landing VTOL UAVs in cluttered environments. World Congress, 19(1), 3176–3183. https://doi.org/10.3182/20140824-6-ZA-1003.01616.
  • Roza, A., & Maggiore, M. (2014). A class of position controllers for underactuated VTOL vehicles. IEEE Transactions on Automatic Control, 59(9), 2580–2585. https://doi.org/10.1109/TAC.2014.2308609
  • Saha, A., Dhara, B. C., Umer, S., Yurii, K., Alanazi, J. M., & AlZubi, A. A. (2022). Efficient obstacle detection and tracking using RGB-D sensor data in dynamic environments for robotic applications. Sensors, 22(17), 6537. https://doi.org/10.3390/s22176537
  • Tahri, O., & Chaumette, F. (2006). Point-based and region-based image moments for visual servoing of planar objects. IEEE Transactions on Robotics, 21(6), 1116–1127. https://doi.org/10.1109/TRO.2005.853500
  • Tauro, F., Pagano, C., Phamduy, P., Grimaldi, S., & Porfiri, M. (2015). Large-scale particle image velocimetry from an unmanned aerial vehicle. IEEE/ASME Transactions on Mechatronics, 20(6), 3269–3275. https://doi.org/10.1109/TMECH.2015.2408112
  • Tian, B., Liu, L., Lu, H., Zuo, Z., Zong, Q., & Zhang, Y. (2018). Multivariable finite time attitude control for quadrotor UAV: Theory and experimentation. IEEE Transactions on Industrial Electronics, 65(3), 2567–2577. https://doi.org/10.1109/TIE.2017.2739700
  • Wang, F., Gao, H., Wang, K., Zhou, C., Zong, Q., & Hua, C. (2021). Disturbance observer-based finite-time control design for a quadrotor UAV with external disturbance. IEEE Transactions on Aerospace and Electronic Systems, 57(2), 834–847. https://doi.org/10.1109/TAES.2020.3046087
  • Wang, H., Guo, D., Liang, X., Chen, W., Hu, G., & Leang, K. K. (2017). Adaptive vision-based leader–follower formation control of mobile robots. IEEE Transactions on Industrial Electronics, 64(4), 2893–2902. https://doi.org/10.1109/TIE.2016.2631514
  • Wang, H., Yang, B., Liu, Y., Chen, W., Liang, X., & Pfeifer, R. (2017). Visual servoing of soft robot manipulator in constrained environments with an adaptive controller. IEEE/ASME Transactions on Mechatronics, 22(1), 41–50. https://doi.org/10.1109/TMECH.2016.2613410
  • Wang, L., & Jia, H. (2014). The trajectory tracking problem of quadrotor UAV: Global stability analysis and control design based on the cascade theory. Asian Journal of Control, 16(2), 574–588. https://doi.org/10.1002/asjc.2014.16.issue-2
  • Zheng, D., Wang, H., Wang, J., Chen, S., Chen, W., & Liang, X. (2017). Image-based visual servoing of a quadrotor using virtual camera approach. IEEE/ASME Transactions on Mechatronics, 22(2), 972–982. https://doi.org/10.1109/TMECH.2016.2639531
  • Zhu, B., Chen, M., & Li, T. (2022). Prescribed performance-based tracking control for quadrotor UAV under input delays and input saturations. Transactions of the Institute of Measurement and Control, 44(10), 2049–2062. https://doi.org/10.1177/01423312211067291
  • Zhu, G., Li, H., Zhang, X., Wang, C., Su, C.-Y., & Hu, J. (2022). Adaptive consensus quantized control for a class of high-order nonlinear multi-agent systems with input hysteresis and full state constraints. IEEE/CAA Journal of Automatica Sinica, 9(9), 1574–1589. https://doi.org/10.1109/JAS.2022.105800

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