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Adaptive Trajectory Tracking for a Planar Two-Wheeled Vehicle with Positive Trail

机译:适应性轨迹跟踪阳性径的平面两轮车辆

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This paper proposes an adaptive trajectory tracking control for an autonomous planar two-wheeled vehicle subject to nonholonomic constraints. Furthermore, the vehicle model considers a so-called positive trail that provides self-alignment of the steering in many vehicle types, including bicycles. The dynamics of the system is described in a port-Hamiltonian form that is suitable for systematic synthesis of passivity-based controllers. This also enables an explicit description of the system dynamics including the nonholonomic constraints by an ODE. By a generalized canonical transformation, an error system is determined preserving the port-Hamiltonian structure. This reduces the tracking problem to a stabilization problem that is solved by a further transformation. The controller is designed for a structure preserving simplified model and applied to the original model handling the omitted effects due to the simplification as disturbance. Finally, an adaptive controller is applied that, in the port-Hamiltonian framework, guarantees the asymptotic tracking of a given trajectory despite large parameter uncertainties.
机译:本文提出了一种自动轨迹跟踪控制,其对非完整约束的自主平面两轮车辆进行自动轨迹跟踪控制。此外,车辆模型考虑了所谓的正面轨迹,可在许多车辆类型中提供转向的自对准,包括自行车。系统的动态在汉密尔顿的形式中描述,适用于系统合成基于控制的控制器。这也使得可以明确描述包括ODE的非完整约束的系统动态。通过广义的规范转换,确定保留端口-hamiltonian结构的错误系统。这将跟踪问题降低到通过进一步转换解决的稳定问题。控制器设计用于保留简化模型的结构,并应用于由于简化为干扰而施加到处理省略效果的原始模型。最后,应用了自适应控制器,即在端口-Hamiltonian框架中,尽管存在大的参数不确定因素,但是确保给定轨迹的渐近跟踪。

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