踝关节主-被动机械治疗装置致动器运动控制算法

A. Knyazev, A. V. Fedorov, A. Yatsun
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引用次数: 1

摘要

研究目的。本文致力于开发一种用于控制被动机械治疗踝关节装置的受控移动平台运动的算法。人类最常见的伤害之一是在运动、家庭、工业锻炼和车祸中对踝关节的损伤。从高处用脚着地,包括跳伞,也经常导致脚踝受伤。为了提高康复效果,通常采用机械疗法。该主题的相关性与机器人康复装置的高效率有关,由于反向连接和电控执行器,可以以最佳方式执行下肢运动。给出了装置控制系统的结构图。该算法采用并联控制策略,利用校正控制和参考控制计算控制电压。力-矩感觉系统的存在,可以及时估计反应值的变化,及时确定痉挛效应出现的瞬间,肌肉挛缩,自动改变足部运动规律,以排除患者的创伤,消除疼痛综合征。提出了一种在矢状面和额状面构造足部旋转角度随时间的期望依赖关系的方法。我们已经开发了一种运动规律和决策块的运行算法,一种从参考模型产生控制电压的算法,一种电压校正块的运行算法,以及一种参考模型校正块的运行算法。通过对该装置数学模型的虚拟测试,得到了执行器的基本运动模式,即平台旋转角度与时间的依赖关系。实验结果表明,采用本文所述算法控制踝关节主动被动机械治疗执行器的运动是合理的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithm for Controlling the Movement of the Actuator of the Device for Active-Passive Mechanotherapy of the Ankle Join
Purpose of research. The article is devoted to the development of an algorithm for controlling the movement of a controlled mobile platform of a passive mechanotherapy ankle joint apparatus. One of the most common injuries sustained by humans is damage to the ankle joint in sports, domestic, industrial exercises, and as a result of car accidents. Falls from heights with a landing on the feet, including parachute jumps, also often result in ankle injuries. In order to increase the effectiveness of rehabilitation, mechanotherapy is usually used. The relevance of the topic is related to the high efficiency of robotic rehabilitation devices, which, thanks to back-linking and electrically controlled actuators, can perform lower limb movements in an optimal way.Methods. The structural diagram of the device control system has been developed. The proposed algorithm uses the strategy of paralleling control actions with the use of corrective and reference controls to calculate control voltages. Presence of force-moment feeling system enables to estimate change of reaction value in time and timely fix the moment of spastic effects appearance, muscle contracture and automatically make changes in foot movement laws in order to exclude patient's traumatisation and pain syndrome elimination.Results. A methodology for constructing the desired dependence of foot rotation angles on time in the sagittal and frontal planes is proposed. We have developed an operating algorithm for the laws of motion and decision-making block, an algorithm for generating control voltages from the reference model, an operating algorithm for the voltage correction block, and an operating algorithm for the reference model correction block. As a result of virtual tests on the mathematical model of the device, we obtained the basic patterns of motion of the actuator in the form of dependences of the rotation angle of the platform from the time.Conclusion. The results of testing the device show that controlling the movement of the actuator for active-passive mechanotherapy of the ankle joint using the algorithms described in the article is reasonable.
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