基于模拟退火算法的冗余肌力优化求解  

Optimum Solving of Redundant Muscular Force Based on Simulated Annealing Algorithms

作　　者：徐力[1] 郭巧[1] 陈海英[1] 

机构地区：[1]北京理工大学机器人研究中心,北京100081

出　　处：《北京生物医学工程》2005年第2期108-111,133,共5页Beijing Biomedical Engineering

基　　金：国家自然科学基金项目 (60 1710 18)资助

摘　　要：肌肉力的预测是个冗余问题 ,需通过优化方法进行求解。本文以最小肌肉应力平方和为优化目标 ,在满足人体下肢动力学约束的情况下 ,采用基于模拟退火算法的约束优化方法对跑步运动缓冲阶段和蹬伸阶段各肌力的分布进行了计算。其优化结果从数值上定量地显示了该过程中各组肌力的变化规律 ,表明模拟退火算法是一种通用、健壮、可行的优化算法 ,为求解冗余肌力优化问题提供了一种新途径。Prediction of muscle force is a redundant problem, which is solved by optimum methods. In this paper, minimum sum of muscle stress squared is the optimum objective function, subject to dynamics constraint of human lower extremity. The constrained optimum technology based on simulated annealing algorithms is employed to calculate redundant muscular forces during impact phase and push-off phase of running. The numerical result quantitatively shows that variation rules of each muscle in these phases, so the simulated annealing algorithms are a general, robust, available method and provide a new approach for solving optimization problem of redundant muscular force.

关 键 词：冗余问题 优化方法 模拟退火算法 肌肉应力 

分 类 号：R318.17[医药卫生—生物医学工程]