论文标题

非线性,粘弹性组织的系统识别和两度自由度控制

System Identification and Two-Degree-of-Freedom Control of Nonlinear, Viscoelastic Tissues

论文作者

Bianco, Amanda, Zonis, Raphael, Lauzon, Anne-Marie, Forbes, James Richard, Ijpma, Gijs

论文摘要

目的:本文提出了一种在等速肌组织中的短期等渗组织的力控制方案,其过冲和沉降时间很小,以测量其缩短速度,这是肌肉功能的关键参数。方法:探索了由反馈控制器和馈电控制器形成的两度自由控制配置。反馈控制器是一个比例综合控制器,并且使用面向控制的肌肉组织模型的倒馈控制器设计。使用输入输出数据和系统识别技术探索了广义线性模型和肌肉组织的非线性模型。在马气道平滑肌上测试了力控制方案,并用鼠屈肌Digitorum Brevis肌肉确认其鲁棒性。结果:通过一系列实验评估了力控制方案的性能和重复性以及用户所需的投入和监督水平的数量。在大多数情况下,部队控制方案能够实现既定的控制目标,包括定居时间和超冲的要求。结论:提出的控制方案显示出可以自动化力控制,以最少的用户输入来表征肌肉力学。意义:本文利用基于反转的前馈控制器,基于系统识别环境中非线性生理模型,其优于经典的线性系统识别。控制方案可用作对非线性,粘弹性材料的广义控制的垫脚石。

Objective: This paper presents a force control scheme for brief isotonic holds in an isometrically contracted muscle tissue, with minimal overshoot and settling time to measure its shortening velocity, a key parameter of muscle function. Methods: A two-degree-of-freedom control configuration, formed by a feedback controller and a feedforward controller, is explored. The feedback controller is a proportional-integral controller and the feedforward controller is designed using the inverse of a control-oriented model of muscle tissue. A generalized linear model and a nonlinear model of muscle tissue are explored using input-output data and system identification techniques. The force control scheme is tested on equine airway smooth muscle and its robustness confirmed with murine flexor digitorum brevis muscle. Results: Performance and repeatability of the force control scheme as well as the number of inputs and level of supervision required from the user were assessed with a series of experiments. The force control scheme was able to fulfill the stated control objectives in most cases, including the requirements for settling time and overshoot. Conclusion: The proposed control scheme is shown to enable automation of force control for characterizing muscle mechanics with minimal user input required. Significance: This paper leverages an inversion-based feedforward controller based on a nonlinear physiological model in a system identification context that is superior to classic linear system identification. The control scheme can be used as a steppingstone for generalized control of nonlinear, viscoelastic materials.

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