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Particle Swarm Optimization Based Design for Knee Joint of Wearable Exoskeleton Robot

机译:基于粒子群算法的可穿戴外骨骼机器人膝关节设计

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With firstly analyzing the working principle of wearable exoskeleton robot, and building a mathematical model ,this paper applies the method of Particle Swarm Optimization with MATLAB software to develop a set of optimization design system for three-hinge mechanism of knee, which substitutes artificial design system. Furthermore, this paper puts forward the optimization design method based on Particle Swarm Optimization for the three-hinge mechanism design of multi-objective and multi-constraint conditions, which can be effectively solved through simulation practice. Finally use Adams to check out the results.
机译:在首先分析可穿戴式外骨骼机器人的工作原理,并建立数学模型的基础上,运用基于粒子群算法的MATLAB软件开发了一套膝关节三铰机构优化设计系统,替代了人工设计系统。 。此外,针对多目标多约束条件的三铰机构设计,提出了基于粒子群优化的优化设计方法,可以通过仿真实践有效地解决。最后使用Adams来检查结果。

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