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提出了一种应用于水下机器人方向舵、滑块为原动件的曲柄滑块传动机构,形状记忆合金差动驱动是该机构的突出特点.分析了形状记忆合金差动驱动的曲柄滑块机构运动机理,基于形状记忆合金驱动器的变形能力和力学性能,采用多目标优化设计理论和算法,对形状记忆合金差动驱动的滑块行程和作用在滑块上的初始驱动力进行了综合优化,得到了曲柄滑块机构的结构优化参数,同时为形状记忆合金差动驱动器的性能参数设计提供了理论依据和设计准则.虚拟样机仿真试验验证了机构良好的驱动和传动性能. 相似文献
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The armored cable used in a deep-sea remotely operated vehicle(ROV) may undergo large displacement motion when subjected to dynamic actions of ship heave motion and ocean current. A novel geometrically exact finite element model for two-dimensional dynamic analysis of armored cable is presented. This model accounts for the geometric nonlinearities of large displacement of the armored cable, and effects of axial load and bending stiffness. The governing equations are derived by consistent linearization and finite element discretization of the total weak form of the armored cable system, and solved by the Newmark time integration method. To make the solution procedure avoid falling into the local extreme points, a simple adaptive stepping strategy is proposed. The presented model is validated via actual measured data. Results for dynamic configurations, motion and tension of both ends of the armored cable, and resonance-zone are presented for two numerical cases, including the dynamic analysis under the case of only ship heave motion and the case of joint action of ship heave motion and ocean current. The dynamics analysis can provide important reference for the design or product selection of the armored cable in a deep-sea ROV system so as to improve the safety of its marine operation under the sea state of 4 or above. 相似文献
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由于深海电动机械臂动力学模型较为复杂,难以基于动力学模型构建精确的能耗优化目标函数,因此,本文提出一种利用径向基函数(RBF)神经网络构建机械臂功耗模型的方法.首先,利用机械臂水下运动实验数据集训练所构建的RBF神经网络.利用基于该神经网络的功耗模型,结合机械臂关节空间轨迹规划多项式,建立机械臂能耗目标函数.然后,采用自适应粒子群优化(PSO)算法求解最优轨迹参数.结果显示,RBF功耗网络均方根误差(RMSE)为20.89 W;经过优化的轨迹的能耗比实验轨迹的能耗均值降低410.8 J(18.3%).实验结果表明基于自适应PSO算法的轨迹规划方法实现了能耗优化的目标. 相似文献
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