Non-smooth dynamic modeling and simulation of an unmanned bicycle on a curved pavement
无人驾驶自行车在弯曲路面上的非光滑动力学建模与仿真
湾曲した舗装上の無人自転車の滑らかでない動的モデリングとシミュレーション
곡선 도로 위의 무인 자전거의 부드러움 동적 모델링 및 시뮬레이션
Modelado dinámico no uniforme y simulación de una bicicleta no tripulada en un pavimento curvo
Modélisation et simulation dynamiques non fluides d'un vélo sans pilote sur une chaussée courbe
Негладкое динамическое моделирование и симуляция беспилотного велосипеда на криволинейном асфальте
Kaiming ZHANG 张凯明 ¹, Xudong ZHENG 郑旭东 ², Zhang CHEN 陈章 ³, Bin LIANG 梁斌 ³, Tianshu WANG 王天舒 ⁴, Qi WANG 王琪 ¹
¹ School of Aeronautic Science and Engineering, Beihang University, Beijing 100083, China
中国 北京 北京航空航天大学 航空科学与工程学院
² Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, Guangdong Province, China
中国 广东 深圳 清华大学深圳国际研究生院
³ Department of Automation, Tsinghua University, Beijing 100084, China
中国 北京 清华大学自动化系
⁴ School of Aerospace Engineering, Tsinghua University, Beijing 100084, China
中国 北京 清华大学航天航空学院
Applied Mathematics and Mechanics (English Edition), 24 December 2021
Abstract
The non-smooth dynamic model of an unmanned bicycle is established to study the contact-separate and stick-slip non-smooth phenomena between wheels and the ground. According to the Carvallo-Whipple configuration, the unmanned bicycle is reduced to four rigid bodies, namely, rear wheel, rear frame, front fork, and front wheel, which are connected by perfect revolute joints.
The interaction between each wheel and the ground is simplified as the normal contact force and the friction force at the contact point, and these forces are described by the Hunt-Crossley contact force model and the LuGre friction force model, respectively. According to the characteristics of flat and curved pavements, calculation methods for contact forces and their generalized forces are presented.
The dynamics of the system is modeled by the Lagrange equations of the first kind, a numerical solution algorithm of the dynamic equations is presented, and the Baumgarte stabilization method is used to restrict the drift of the constraints. The correctness of the dynamic model and the numerical algorithm is verified in comparison with the previous studies. The feasibility of the proposed model is demonstrated by simulations under different motion states.
