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Modeling and hierarchical tracking control of tri-wheeled mobile robots

机译:三轮移动机器人的建模和分层跟踪控制

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摘要

After exploring the structure of the dynamics derived by using the Appell equation, we propose a hierarchical tracking controller for a tri-wheeled mobile robot in this paper. With appropriately chosen privileged variables, the reduced equations are decoupled from the kinematic equations associated with the underlying nonholonomic constraints. This special character of the system makes it possible to separate the design into three levels: motion planning, kinematic, and dynamic. In the proposed scheme, a fuzzy inference engine in the kinematic level is used to update the desired trajectory computed in the motion-planning level. An adaptive sliding-mode controller is then adopted to track the new reference values of privileged variables in the dynamic level, which subsequently drives the nonprivileged variables. Simulation results show the effectiveness of such a tracking-control scheme, which concurrently takes kinematics and dynamics into consideration. All system variables can be tracked asymptotically to their desired values, which are assured by the skew-symmetric property of the Appell equation
机译:在探索了使用Appell方程得出的动力学结构之后,我们提出了一种三轮移动机器人的分层跟踪控制器。使用适当选择的特权变量,可将简化的方程式与与基础非完整约束相关的运动方程式解耦。系统的这一特殊特征使将设计分为三个层次成为可能:运动计划,运动学和动态。在提出的方案中,运动学级别的模糊推理引擎用于更新在运动计划级别计算出的期望轨迹。然后采用自适应滑模控制器在动态级别上跟踪特权变量的新参考值,随后驱动非特权变量。仿真结果表明了这种跟踪控制方案的有效性,该方案同时考虑了运动学和动力学。可以将所有系统变量渐近跟踪到它们的期望值,这由Appell方程的斜对称特性保证

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