Controlling stick balancing on a linear track: Delayed state feedback or delay-compensating predictor feedback?

IF 1.7 4区 工程技术 Q3 COMPUTER SCIENCE, CYBERNETICS
Dalma J Nagy, John G Milton, Tamas Insperger
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引用次数: 1

Abstract

A planar stick balancing task was investigated using stabilometry parameters (SP); a concept initially developed to assess the stability of human postural sway. Two subject groups were investigated: 6 subjects (MD) with many days of balancing a 90 cm stick on a linear track and 25 subjects (OD) with only one day of balancing experience. The underlying mechanical model is a pendulum-cart system. Two control force models were investigated by means of numerical simulations: (1) delayed state feedback (DSF); and (2) delay-compensating predictor feedback (PF). Both models require an internal model and are subject to certainty thresholds with delayed switching. Measured and simulated time histories were compared quantitatively using a cost function in terms of some essential SPs for all subjects. Minimization of the cost function showed that the control strategy of both OD and MD subjects can better be described by DSF. The control mechanism for the MD subjects was superior in two aspects: (1) they devoted less energy to controlling the cart's position; and (2) their perception threshold for the stick's angular velocity was found to be smaller. Findings support the concept that when sufficient sensory information is readily available, a delay-compensating PF strategy is not necessary.

Abstract Image

在线性轨道上控制操纵杆平衡:延迟状态反馈或延迟补偿预测器反馈?
利用稳定测量参数(SP)对平面杆平衡任务进行了研究;这个概念最初是用来评估人体姿势摇摆的稳定性。研究对象分为两组:6名(MD)有多天在直线轨道上平衡90厘米木棍的经验,25名(OD)只有一天的平衡经验。基本的力学模型是一个摆车系统。通过数值模拟研究了两种控制力模型:(1)延迟状态反馈(DSF);(2)延迟补偿预测器反馈(PF)。这两种模型都需要一个内部模型,并且受延迟切换的确定性阈值的约束。使用成本函数对所有受试者的一些基本sp进行定量比较测量和模拟的时间历史。代价函数的最小化表明,OD和MD被试的控制策略都可以用DSF更好地描述。MD被试的控制机制表现在两个方面:(1)控制小车位置的精力较少;(2)他们对木棒角速度的感知阈值更小。研究结果支持这样一个概念,即当足够的感官信息随时可用时,延迟补偿PF策略是不必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biological Cybernetics
Biological Cybernetics 工程技术-计算机:控制论
CiteScore
3.50
自引率
5.30%
发文量
38
审稿时长
6-12 weeks
期刊介绍: Biological Cybernetics is an interdisciplinary medium for theoretical and application-oriented aspects of information processing in organisms, including sensory, motor, cognitive, and ecological phenomena. Topics covered include: mathematical modeling of biological systems; computational, theoretical or engineering studies with relevance for understanding biological information processing; and artificial implementation of biological information processing and self-organizing principles. Under the main aspects of performance and function of systems, emphasis is laid on communication between life sciences and technical/theoretical disciplines.
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