面向人机仿真的肌肉力预测模型  

A Muscle Force Prediction Model for Ergonomics Simulation

作　　者：吴剑锋[1] 孙守迁[1] 徐孟[1] 石元伍[1] 

机构地区：[1]浙江大学,杭州310027

出　　处：《中国机械工程》2008年第5期571-574,共4页China Mechanical Engineering

基　　金：国家重点基础研究发展计划资助项目(2002CB312106);广东省自然科学基金资助项目(033323AF020501)

摘　　要：针对现有人体肌肉力预测模型在计算机辅助人机工程仿真应用中存在的精度低和个性化差等不足,从肌肉模型和优化算法等方面进行了改进研究。以解剖学知识为依据,基于Hill肌肉三元素模型建立了肌肉仿真几何模型;以最小限度总肌力为原则,用最优化方法建立了人体肌肉力静性收缩与动性收缩的预测模型。最后,以人体上肢为例,通过实验验证了模型的有效性。A muscle force prediction model was proposed to overcome some limitations in computer-aided ergonomic simulation. Firstly, a modified muscle geometric model based on the anatomical technique was built using the Hill-type model. Secondly, the static and dynamic muscle force prediction models were discussed by the optimal control theory. And the optimal criterion was the minimum sum of total-muscle-force. At last, experimental results of the upper-limb muscles show the validity of these models.

关 键 词：肌肉模型 肌肉力预测 优化求解 人机仿真 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]