Control of Joint Motion Simulators for Biomechanical Research

R. Colbaugh, K. Glass
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Abstract

This paper presents a hierarchical adaptive algorithm for controlling upper extremity human joint motion simulators. A joint motion simulator is a computer-controlled, electromechanical system which permits the application of forces to the tendons of a human cadaver specimen in such a way that the cadaver joint under study achieves a desired motion in a physiologic manner. The proposed control scheme does not require knowledge of the cadaver specimen dynamic model, and solves on-line the so-called "indeterminate problem" which arises because human joints typically possess more actuators than degrees of freedom. Computer simulation results are given for an elbow/forearm system and wrist/hand system under hierarchical control, and demonstrate that any desired normal joint motion can be accurately tracked with the proposed algorithm. Additionally, these simulations indicate that the controller resolves the "indeterminate problem" redundancy in a physiologic manner, and show that the control scheme is robust to parameter uncertainty and to sensor noise.
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生物力学研究中关节运动模拟器的控制
提出了一种控制上肢人体关节运动模拟器的分层自适应算法。关节运动模拟器是一种计算机控制的机电系统,它允许以这样一种方式对人体尸体标本的肌腱施加力,使所研究的尸体关节以生理方式实现所需的运动。所提出的控制方案不需要了解尸体标本动力学模型,并且在线解决了由于人体关节通常具有比自由度更多的执行器而产生的所谓“不确定问题”。给出了分层控制下的肘/前臂系统和腕/手系统的计算机仿真结果,并证明了该算法可以准确地跟踪任何期望的正常关节运动。此外,仿真结果表明,该控制器以生理方式解决了“不确定问题”冗余,并表明该控制方案对参数不确定性和传感器噪声具有鲁棒性。
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