Research On Design And Simulation Of Intelligent Bionic Leg With Meniscus

With the improvement of living standards,the handicapped without lower limb have not satisfied with the standing and walking performance,hoping that they can walk,running,up and down the stairs,walk on the slope,even playing tennis with new prosthesis,so the intelligent bionic legs is born at the right moment.Intelligent bionic legs have good performance in exercise personification features and reliability,the knee joint of artificial limb will suffer very big load of the shock and vibration when the user want to walk quikly,running,playing tenis.Traditional Intelligent bionic legs can’t suffer such big load of the shock and vibration due to its mechanical structure,material and dynamic characteristics.This thesis is dedicated to make a research on design and simulation of intelligent bionic leg with meniscus from the aspect of buffer and shock absorption,the main aspect of this paper is as follow:(1)Using the hunman knee as the study object,analyzes the anatomical structure and biomechanics of the knee and meniscus.To understand the buffer and shock absorption property operating principle of meniscus,designing a knee with meniscus and optimizing the structure parameter by ANSYS on the base of the comprehensive advantages of the existing intelligent bionic leg knee joint.(2)Building simulation platform of intelligent bionic leg with meniscus through SolidWorks and ADMAS software,using healthy human walking gait date to run simulation system,verifying the buffer and shock absorption property of meniscus.(3)Choosing ideal magnetorheological damper dynamics modle Bouc-Wen establish the magnetorheological damper simulation modle and determine parameters on the base of analysis of variety of MRD dynamic model.Building a MRD simulation module and use it to reduce a lot of data,then using these date to train a inverse BP neural network,verifying the predictive ability of MRD inverse model.(4)Building intelligent bionic leg simulation platform through SolidWorks,ADMAS and MATLAB/Simulink software,getting ideal damping force through RBF neural network control algorithm,using the ideal damping force to estimate the MRD direct model predicting dffect,simulation result shows that direct and inverse MRD model have a good predict property in the range of MRD parameter variation.