Abstract
The motion of wall climbing robot can be regarded as the motion of gecko like crawling. Its motion can be decomposed into the motion of limbs driving the body. Previous studies were based on the method of Newton mechanics. In this paper, Lagrange mechanics method and Lie group analysis method are used to solve the problems of wall climbing robot system. Firstly, the kinetic energy, potential energy, Lagrange function and nonholonomic constraints of the nonholonomic wall climbing robot system are given, and the Lagrange equations of the nonholonomic wall climbing robot system are established. Secondly, basding on the invariance of differential equations under infinitesimal transformation on time and generalized coordinates, the Lie symmetry determination equations, restriction equations and additional restriction equations of the wall climbing robot system are obtained, and the Lie symmetry theorems and the conserved quantities are also given for the system. Thirdly, the Lie symmetry properties and a series of the conserved quantities of the wall climbing robot on the conical surface are obtained. Furthermore, we considering initial conditions and utilizing the conserved quantities, the exact solutions of the whole body motion and the numerical solution of the limb motion of the wall climbing robot on the conical surface are given. This work has established Lie symmetry theory of nonholonomic wall climbing robot system, and obtained the motion law of the wall climbing robot system on the conical surface with the technique of Lie group analysis. This is a complex and pioneering work, and 101 important equations have been derived; and this technique can be applied to other complex robot and flexible robot systems.
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This Project was partially supported by the National Natural Science Foundation of China (Grant No. 11872335) and State Key Laboratory of Scientific and Engineering Computing, Chinese Academy of Sciences.
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Fu, JL., Lu, XD., Xiang, C. et al. Lie group analysis method for wall climbing robot systems. Indian J Phys 96, 4231–4243 (2022). https://doi.org/10.1007/s12648-022-02306-2
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DOI: https://doi.org/10.1007/s12648-022-02306-2