高层建筑结构测点优化布置方法的研究

对高层建筑结构测点优化布置方法进行了研究,综合采用有效独立法和遗传算法进行了测点的优化布置。首先,采用有效独立法进行测点初步筛选,得到候选测点群;其次,利用遗传算法以基于振型相似度的适应度函数进行测点方案确定,并通过实际某高层结构模态测试的测点优化实例说明了具体的方法;然后,将方法得出的计算结果与单独利用有效独立法的计算结果进行对比,并对不同测点数的布点方案进行计算,结果表明:算法能在较少的遗传代数内得到优良的测点布置结果,有效的提高了优化布置测点的效率。

Design and control of integrated pneumatic dexterous robot finger

Based on flexible pneumatic actuator(FPA),bending joint and side-sway joint,a new kind of pneumatic dexterous robot finger was developed.The finger is equipped with one five-component force sensor and four contactless magnetic rotary encoders.Mechanical parts and FPAs are integrated,which reduces the overall size of the finger.Driven by FPA directly,the joint output torque is more accurate and the friction and vibration can be effectively reduced.An improved adaptive genetic algorithm(IAGA) was adopted to solve the inverse kinematics problem of the redundant finger.The statics of the finger was analyzed and the relation between fingertip force and joint torque was built.Finally,the finger force/position control principle was introduced.Tracking experiments of fingertip force/position were carried out.The experimental results show that the fingertip position tracking error is within ±1 mm and the fingertip force tracking error is within ±0.4 N.It is also concluded from the theoretical and experimental results that the finger can be controlled and it has a good application prospect.

基于需求分布规律变化的无人零售终端网络综合配货优化研究

在随机需求条件下,无人零售终端容易产生滞销或缺货现象。传统的仅由中心仓库向终端配货的模式一般不考虑终端之间的商品流转,容易导致终端过剩成本、商品过期风险以及运输和二次配货量增加等一系列问题。因此,有必要在中心仓配货模式的基础上,考虑各终端之间的商品横向流动配货的问题。在对随机需求条件下无人零售终端配货模式分析的基础上,引入终端之间的商品横向流动配货机理,构建了无人零售终端网络综合配货模式。通过对终端多种需求分布规律变化的分析,研究了综合配货优化问题,构建了优化模型,并搭建了带自适应机制的改进遗传算法进行求解。最后,通过Python进行算例仿真,验证了优化和求解过程的科学性和适应性。