应用ADRC方法进行下膝关节康复的临床轨迹控制

N. Ahmed, A. Humaidi, A. Sabah
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引用次数: 2

摘要

本文提供了一种利用住宅外骨骼系统进行膝关节康复控制和干扰抑制的自抗扰控制(ADRC)方法的设计和研究。线性自抗扰控制器(LADRC)和非线性自抗扰器(NADRC)是基于自抗扰的结构考虑用于控制目的的两个控制器。他们之间的对比在这项工作中得到了充分的讨论。LADRC由跟踪微分(TD)、线性比例微分(LPD)控制器和线性扩展状态观测器(LESO)组成,而NADRC由相同的LESO组成,但具有非线性PD(NPD)和改进的优化TD(MTD)。在抵抗外加干扰的能力方面,对LADRC和NADRC进行了比较。ADRC的根本挑战是其组成参数必须进行微调。灰太狼优化器(GWO)已被提出用于调整自抗扰控制器的参数以具有最小的误差变化量,从而提高受控系统的动态性能。当施加规定的干扰转矩时,MATLAB仿真结果表明,LADRC比NADRC具有更大的干扰抑制能力。
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Clinical Trajectory control for lower Knee rehabilitation using ADRC method
The design and study of the Active Disturbance Rejection Control (ADRC) approach for control and disturbance rejection for lower knee rehabilitation utilizing a residential exoskeleton system are provided in this paper. Linear ADRC (LADRC) and Nonlinear ADRC (NADRC) are two controllers that are considered for control purposes based on the structure of ADRC. The contrasts between them are thoroughly discussed in this work. The LADRC is made up of a tracking differential (TD), a linear proportional derivative (LPD) controller, and a linear extended state observer (LESO), whereas the NADRC is made up of the same LESO but with a nonlinear PD (NPD) and a modified optimized TD (MTD). In terms of robustness against the ability to reject applied disturbances, a comparison of LADRC and NADRC has been done. The fundamental challenge with ADRC is that its constituent parameters must be fine-tuned. Grey Wolf Optimizer (GWO) has been proposed for tuning the parameters of ADRC to have the least amount of error variation in order to improve the controlled system's dynamic performance. When a prescribed disturbing torque is applied, the results of a MATLAB simulation show that the LADRC has greater disturbance rejection capabilities than the NADRC.
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来源期刊
Journal of Applied Research and Technology
Journal of Applied Research and Technology 工程技术-工程:电子与电气
CiteScore
1.50
自引率
0.00%
发文量
0
审稿时长
6-12 weeks
期刊介绍: The Journal of Applied Research and Technology (JART) is a bimonthly open access journal that publishes papers on innovative applications, development of new technologies and efficient solutions in engineering, computing and scientific research. JART publishes manuscripts describing original research, with significant results based on experimental, theoretical and numerical work. The journal does not charge for submission, processing, publication of manuscripts or for color reproduction of photographs. JART classifies research into the following main fields: -Material Science: Biomaterials, carbon, ceramics, composite, metals, polymers, thin films, functional materials and semiconductors. -Computer Science: Computer graphics and visualization, programming, human-computer interaction, neural networks, image processing and software engineering. -Industrial Engineering: Operations research, systems engineering, management science, complex systems and cybernetics applications and information technologies -Electronic Engineering: Solid-state physics, radio engineering, telecommunications, control systems, signal processing, power electronics, electronic devices and circuits and automation. -Instrumentation engineering and science: Measurement devices (pressure, temperature, flow, voltage, frequency etc.), precision engineering, medical devices, instrumentation for education (devices and software), sensor technology, mechatronics and robotics.
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