以弹跳机器人为背景的弹性环弹跳运动能量转换

文章以弹性环作为弹跳机器人的简单物理模型,研究弹性环对胡克定律的适用性以及弹性势能与初始动能的关系,在此基础上得出忽略空气阻力以及考虑空气阻力的理论弹起高度.文章利用高速摄像系统对弹性环运动过程进行观测,数据分析结果表明理论值与实验结果吻合较好.本文对于弹性环这种简单弹跳模型所得的研究结果有助于为弹跳机器人的能量转换效率及控制弹跳高度提供参考.     

基于滑模控制的室内移动机器人路径跟踪

为解决室内环境下移动机器人的路径跟踪问题,建立了移动机器人的数学模型,并构造一种新型滑模控制趋近律。采用该趋近律设计滑模控制律,并利用李雅普诺夫定理证明了系统稳定性。采用所设计的滑模控制器对室内移动机器人进行路径跟踪实验,仿真结果验证了该方法的有效性。     

ACTA MECHANICA SINICA 2014 ANNUAL SUBJECT INDEX

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基于图像质量评价的手术机器人系统磁共振兼容性分析方法

为保证手术安全及操作精度,基于磁共振图像导航的手术机器人系统需具备磁共振设备兼容性. 针对这一问题,本文提出了基于磁共振图像质量评价的手术机器人系统磁共振设备兼容性分析方法,扩展了图像数据集,并结合图像信噪比、图像变化因数、磁共振图像畸变量等评价参数,逐一分析机器人系统组件通电、机器人系统运动对磁共振图像质量产生的影响,建立图像质量评价依据. 实验结果表明,该质量评价方法可充分分析手术机器人及其系统组件的磁共振兼容性,且可为医疗手术机器人系统组件的磁共振兼容性分析提供测试方法与理论依据.     

士兵可穿戴下肢外骨骼机器人多元感知方法研究

下肢外骨骼机器人是一种可穿戴且融合了多种机器人技术的复杂人-机系统。它将人类的智慧与机器人强壮的能力有效地结合起来,最大限度地提高人体的机动力和耐力,这为提升单兵作战系统的能力创造了条件。鉴于下肢外骨骼机器人在作战、后勤保障时可能遇到的复杂地形、多变随机的任务等,仅通过基于既定的典型步态规划程序驱动执行已知的特定动作,难以保证人机间的耦合性和动作的高随意性切换。为此,模拟并提炼出士兵常见的六种下肢动作作为后续研究,然后分析了下肢外骨骼机器人的感知控制原理,并提出了基于脑电预判感知、肌电精确感知和光纤实时校正的多信息融合的感知方法,强调将人的智能参与到机器人控制中,以期推进士兵可穿戴下肢外骨骼机器人的实用化。     

基于虚拟样机技术的四足机器人静态稳定步态规划

针对现有技术文献中广泛使用的多种静态稳定步态中速度稳定性与稳定裕度不可兼得的通病,在随动质心的静态步态基础上,利用参数化坐标变换矩阵方法规划出一种四足机器人前进过程中质心以曲线轨迹移动的静态步态方法,使该步态方法以连续性速度运动的过程中保证一定稳定裕度。通过D-H法求得四足机器人的逆运动学坐标变换矩阵,分别在三维空间中对四足机器人的四组足端轨迹方程进行规划,并带入MATLAB软件后以逆运动学方程计算出关节夹角驱动方程,利用步态规划图求出机器人四条腿各自对应的夹角驱动方程以及机体质心轨迹方程。最后在MSC.ADAMS软件中建立四足机器人虚拟样机并对规划的步态进行虚拟仿真,仿真结果验证了该步态对提升四足机器人对于速度连续性以及稳定裕度的提升。     

双臂空间机器人系统末端惯性空间轨迹的反馈跟踪控制

本文讨论了载体位置不受控制的双臂空间机器人系统的载体姿态与机械臂末端抓手协调运动的控制问题.结合系统的动量守恒关系对双臂空间机器人系统的运动学、动力学作了分析,推导出了系统的载体姿态与机械臂末端抓手协调运动的增广广义Jacobi关系.并以此为基础,给出在载体位置不受控制的情况下,惯性坐标系内双臂空间机器人系统的载体姿态与机械臂末端抓手协调运动的反馈跟踪控制规律.研究结果表明,在系统动力学模型及参数较精确确定的情况下,本文提出的控制方案能够有效地控制双臂空间机器人机械臂的末端抓手与载体姿态准确地完成指定的运动,而不需对其载体的位置进行主动控制.仿真计算结果证实了方法的有效性.     

Bayesian calibration of Vehicle-Terrain Interface algorithms for wheeled vehicles on loose sands

The Vehicle-Terrain Interface (VTI) model is commonly used to predict off-road mobility to support virtual prototyping. The Database Records for Off-road Vehicle Environments (DROVE), a recently developed database of tests conducted with wheeled vehicles operating on loose, dry sand, is used to calibrate three equations used within the VTI model: drawbar pull, traction, and motion resistance. A two-stage Bayesian calibration process using the Metropolis algorithm is implemented to improve the performance of the three equations through updating of their coefficients. Convergence of the Bayesian calibration process to a calibrated model is established through evaluation of two indicators of convergence. Improvements in root-mean square error (RMSE) are shown for all three equations: 17.7% for drawbar pull, 5.5% for traction, and 23.1% for motion resistance. Improvements are also seen in the coefficient of determination (R²) performance of the equations for drawbar pull, 2.8%, and motion resistance, 2.5%. Improvements are also demonstrated in the coefficient of determination for drawbar pull, 2.8%, and motion resistance, 2.5%, equations, while the calibrated traction equation performs similar to the VTI equation. A randomly selected test dataset of about 10% of the relevant observations from DROVE is used to validate the performance of each calibrated equation.     

Improved sinkage algorithms for powered and unpowered wheeled vehicles operating on sand

Modeling and simulation of vehicles in sand is critical for characterizing off-road mobility in arid and coastal regions. This paper presents improved algorithms for calculating sinkage (z) of wheeled vehicles operating on loose dry sand. The algorithms are developed based on 2737 tests conducted on sand with 23 different wheel configurations. The test results were collected from Database Records for Off-road Vehicle Environments (DROVE), a recently developed database of tests conducted with wheeled vehicles operating in loose dry sand. The study considers tire diameters from 36 to 124 cm with wheel loads of 0.19–36.12 kN. The proposed algorithms present a simple form of sinkage relationships, which only require the ratio of the wheel ground contact pressure and soil strength represented by cone index. The proposed models are compared against existing closed form solutions defined in the Vehicle Terrain Interface (VTI) model. Comparisons suggest that incorporating the proposed models into the VTI model can provide comparable predictive accuracy with simpler algorithms. In addition to simplicity, it is believed that the relationship between cone index (representing soil shear strength) and the contact pressure (representing the applied pressure to tire-soil interface) can better capture the physics of the problem being evaluated.     

Investigation of the soil thrust interference effect for tracked unmanned ground vehicles (UGVs) using model track tests

The traction force of a tracked unmanned ground vehicle (UGV) depends on the soil thrust generated by the shearing action on the soil-track interface. In the development of soil thrust, because the continuous-track system consists of a number of single-track systems connected to each other, interference occurs between the adjacent single-track systems through the surrounding soil. Thus, the total soil thrust of the continuous-track system is not equal to the sum of the soil thrust of each single-track system, and the interference effect needs to be carefully considered. In this study, model track tests were conducted on model single-, double-, and triple-track systems according to relative density of soil and shape ratio (i.e., the length of the track plate to grouser depth). The test results indicated that the interference effect reduced soil thrust due to the overlapping shear zones between adjoining single-track systems. The loss of soil thrust increased as the relative density of the soil increased and the shape ratio decreased. Based on these findings, a soil thrust multiplier that can be utilized to assess the soil thrust of a continuous-track system was developed.