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首页> 外文期刊>IEEE Transactions on Robotics >Simplified Motion Control of a Two-Axle Compliant Framed Wheeled Mobile Robot
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Simplified Motion Control of a Two-Axle Compliant Framed Wheeled Mobile Robot

机译:两轴兼容框架轮式移动机器人的简化运动控制

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摘要

Kinematic models and motion control algorithms for a two-axle compliant frame mobile robot are examined. General kinematics describing the compliantly coupled nonholonomic kinematics are derived using velocity constraints that minimize traction forces and consider foreshortening of the frame. Given the complexity of these equations, the steering ratio a is defined to describe the relative heading angles of the front and rear axles. Simplified kinematic models are developed based upon a (Types I, II, and III) and the reference point used to guide the robot. Physical limitations and performance metrics (lateral mobility and maneuverability per unit of traction force) are derived to evaluate the models. Six groups of simulations and 24 experimental tests consisting of 120 trials evaluate the performance of the algorithms on carpet, sand, and sand with rocks. Results indicate that Type I (curvature-based steering) provides superior maneuverability and regulation accuracy, whereas Type II provides excellent lateral mobility at the cost of high traction forces, reduced accuracy, and potential singularities. Both models offer significant reductions in complexity for simplified control using standard curvature-based unicycle control algorithms. These results support expectations derived from performance metrics and physical limitations. Experimental results also demonstrate the efficacy of the robot to adapt to and maneuver over extremely rugged rocky terrain.
机译:研究了两轴兼容框架移动机器人的运动学模型和运动控制算法。使用最小化牵引力并考虑缩短框架的速度约束来推导描述柔顺耦合非完整运动学的通用运动学。考虑到这些方程式的复杂性,定义了转向比a来描述前后桥的相对前进角。基于(类型I,II和III)和用于引导机器人的参考点开发了简化的运动学模型。得出了物理限制和性能指标(每单位牵引力的横向移动性和可操纵性)以评估模型。六组模拟和由120个试验组成的24个实验测试评估了算法在地毯,沙子和带有岩石的沙子上的性能。结果表明,I型(基于曲率的转向)可提供出色的机动性和调节精度,而II型则可提供出色的横向移动性,但代价是牵引力高,精度降低且可能存在奇点。两种模型都显着降低了复杂性,从而简化了使用基于标准曲率的单轮控制算法进行控制的过程。这些结果支持从性能指标和物理限制得出的期望。实验结果还证明了该机器人在极其崎y的岩石地形上适应和操纵的功效。

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