Abstract
In order to obtain an efficient gait, this paper studies the swimming efficiency of underwater eel robot in different gaits. The optimal gait parameters combination of three gaits is studied by using Non-dominated Sorting in Genetic algorithm (NSGA-II). The relationship between input power and velocity in different gait patterns is analyzed, and the optimal gait parameters combination in each gait patterns is obtained. The simulation results show that the new gait only need less input power than the serpentine gait in the same velocity, and the new gait has faster velocity compared to the eel gait using the same joint input power. Finally, the above founds have further verified by experiments. The experiments have proved that the new gait has higher swimming efficiency. Besides, It is found that both the optimal gait amplitude and optimal phase shift exist in both the new gait and the serpentine gait.
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References
Wiens, A.J., Nahon, M.: Optimally efficient swimming in hyper-redundant mechanisms: control, design, and energy recovery. Bioinspir. Biomim. 7(4), 046016 (2012)
Ostrowski, J.P., Desai, J.P., Kumar, V.: Optimal gait selection for nonholonomic locomotion systems. Int. J. Robot. Res. 19(3), 225–237 (1999)
Tesch, M., Schneider, J., Choset, H.: Expensive multiobjective optimization for robotics. In: IEEE International Conference on Robotics and Automation, pp. 973–980. IEEE (2013)
Guo, X., Ma, S., Li, B., Wang, M., Wang, Y.: Optimal turning gait for a three-link underwater robot. In: 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, IEEE-CYBER 2015, pp. 1321–1326 (2015)
Kohannim, S., Iwasaki, T.: Optimal turning gait for mechanical rectifier systems with three dimensional motion. In: 53rd IEEE Conference on Decision and Control, pp. 5862–5867 (2014)
Reviewed, P., Oscillations, O.: Optimal Oscillations and Chaos Generation in Biologically-Inspired Systems. University of California Los Angeles (2016)
Kanso, E., Marsden, J.E.: Optimal motion of an articulated body in a perfect fluid. In: Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC 2005 (2005)
van Rees, W.M., Gazzola, M., Koumoutsakos, P.: Optimal morphokinematics for undulatory swimmers at intermediate Reynolds numbers. J. Fluid Mech. 775, 178–188 (2015)
Crespi, A., Ijspeert, A.J.: Online optimization of swimming and crawling in an amphibious snake robot. IEEE Trans. Robot. 24(1), 75–87 (2008)
Corts, J.: Optimal gaits for dynamic robotic locomotion. Int. J. Robot. Res. 20(9), 707–728 (2001)
Parodi, O., Lapierre, L., Jouvencel, B.: Optimized gait generation for Anguilliform motion. In: OCEANS 2006 - Asia Pacific, pp. 1–8 (2006)
Wei, W., Deng, G.Y.: Optimization and control of NSGA-II in snake like robot. Comput. Eng. 38(8), 137–140 (2012)
Mehta, V.: Optimal gait analysis of snake robot dynamics. Coe. Psu. Edu. (2007)
Kelasidi, E., Pettersen, K.Y., Gravdahl, J.T.: Energy efficiency of underwater snake robot locomotion. In: Control and Automation, pp. 1124–1131. IEEE (2015)
Zhang, A., Ma, S., Li, B., Wang, M.: Tracking control of tangential velocity of eel robots based on iterative learning control. Robot 40(06), 3–12 (2018)
Lapierre, L., Jouvencel, B.: Path following control for an eel-like robot. In: Europe Oceans 2005, Brest, France, vol. 1, no. 1, pp. 460–465 (2005)
Zhang, A., Ma, S., Li, B., Wang, M., Wang, Y.: Modeling and simulation of an underwater planar eel robot in non-inertial frame. In: The 7th Annual IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (2016)
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Zhang, A., Ma, S., Li, B., Wang, M., Chang, J. (2019). Parameter Optimization of Eel Robot Based on NSGA-II Algorithm. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2019. Lecture Notes in Computer Science(), vol 11742. Springer, Cham. https://doi.org/10.1007/978-3-030-27535-8_1
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DOI: https://doi.org/10.1007/978-3-030-27535-8_1
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