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Keywords:
parallel navigation; track; obstacle avoidance; uncertainties
parallel navigation; track; obstacle avoidance; uncertainties
Summary:
In this paper, parallel navigation is proposed to track the target in three-dimensional space. Firstly, the polar kinematics models for the vehicle and the target are established. Secondly, parallel navigation is derived by using polar kinematics models. Thirdly, cell decomposition method is applied to implement obstacle avoidance. Fourthly, a brief study is given on the influence of uncertainties. Finally, simulations are conducted by MATLAB. Simulation results demonstrate the effectiveness of the parallel navigation.
References:
[1] Belkhouche, F., Belkhouche, B.: Ball interception by a mobile robot goalkeeper using the parallel navigation. In: Proc. 35th Int. Symp. on Robotics, Paris, WE14-145, 2004.
[2] Belkhouche, F., Belkhouche, B.: Modified parallel navigation for ball interception by a wheeled mobile robot goalkeeper. Advanced Robotics 20 (2006), 429-452. DOI
[3] Belkhouche, F., Belkhouche, B., Rastgoufard, P.: Parallel navigation for reaching a moving goal by a mobile robot. Robotica 25 (2007), 63-74. DOI
[4] Debnath, S. K., Omar, R., Bagchi, S.: Different Cell Decomposition Path Planning Methods for Unmanned Air Vehicles - A Review. John Wiley, New York 2021.
[5] Jung, J. W., So, B. C., Kang, J. G.: Expanded Douglas-Peucker polygonal approximation and opposite angle-based exact cell decomposition for path planning with curvilinear obstacles. Appl. Sci. 9 (2019), 638-654. DOI
[6] Knotek, S., Hengster-Movric, K., Sebek, M.: Distributed estimation on sensor networks with measurement uncertainties. IEEE Trans. Control Systems Technol. 29 (2020), 1997-2011. DOI
[7] Ma, B. Q.: Research on synchronous control algorithm for multi ship parallel navigation. Ship Science Technol. 39 (2017), 28-30.
[8] Harandi, M. Reza J., Khalilpour, S. A., Taghirad, H. D., Romero, J. G.: Adaptive control of parallel robots with uncertain kinematics and dynamics. Mechanical Systems Signal Process. 157 (2021), 1-12. DOI
[9] Myint, H., Tun, H. M.: Analysis on guidance laws implementation based on parallel navigation time domain scheme. Int. J. Scientific Res. Publ. 8 (2018), 65-77. DOI
[10] Picard, E., Tahoumi, E., Plestan, F.: A new control scheme of cable-driven parallel robot balancing between sliding mode and linear feedback. IFAC-PapersOnLine 53 (2019), 9936-9943. DOI
[11] Rafie-Rad, M.: Time-optimal solutions of parallel navigation and finsler geodesics. Nonlinear Analysis: Real World Appl. 11 (2010), 3809-3814. DOI | MR 2683833
[12] Ferravant, V., Riva, E., Taghavi, M., Bock, T.: Dynamic analysis of high precision construction cable-driven parallel robots. Mechanism Machine Theory 2019 (2019), 54-64. DOI
[13] Schultz, N.: Bats track diving mantises with parallel navigation. J. Experiment. Biology 212 (2009), 893-903. DOI
[14] Shneydor, N. A.: Parallel navigation. Missile Guidance and Pursuit 9 (1998), 77-100. DOI 10.1533/9781782420590.77
[15] Souza, C. d., Castillo, P., Vidolov, B.: Reactive drone pursuit and obstacle avoidance based in parallel navigation. In: IEEE 23rd International Conference on Intelligent Transportation Systems (2020), pp. 1-6.
[16] Su, J.: Research on the precision control algorithm for multi-ship parallel navigation track. Ship Science Technol. 41 (2019), 43-45.
[17] Sun, J., Zhang, H., Wang, Y.: Dissipativity-based fault-tolerant control for stochastic switched systems with time-varying delay and uncertainties. IEEE Trans. Cybernet. 52, (2021), 10683-10694. DOI | MR 4633518
[18] Sun, H., Madonski, R., Li, S.: Composite control design for systems with uncertainties and noise using combined extended state observer and Kalman filter. IEEE Trans. Industrial Electronics 69 (2021), 4119-4128. DOI
[19] Wang, B. F., Iwasaki, M., Yu, J. P.: Command filtered adaptive backstepping control for dual-motor servo systems with torque disturbance and uncertainties. IEEE Trans. Industrial Electronics 29 (2021), 80-87. DOI
[20] Xu, Z., Zhou, X., Wu, H.: Motion planning of manipulators for simultaneous obstacle avoidance and target tracking: an RNN approach with guaranteed performance. IEEE Trans. Industr. Electronics 9 (2021), 71-79. DOI
[21] Yanushevsky, R.: New guidance laws to implement parallel navigation. Aiaa Guidance, Navigation, Control Conference and Exhibit, 2013.
[22] Zhao, D. Y., Si, B. L., Li, X. L.: Learning allocentric representations of space for navigation. Neurocomputing 453 (2021), 579-589. DOI
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