人类在虚拟稳定分数顺序系统中的表现,反应延迟
Tamas Balogh1, Balazs A Kovacs2, Tamas Insperger1,2
1HUN-REN-BME Dynamics of Machines Research Group, Műegyetem rkp. 3, Budapest H-1111, Hungary.
Journal of the Royal Society, Interface
|June 26, 2024
概括
人类棒平衡是使用分数顺序导数建模的,以解释反应延迟和视觉记忆. 通过虚拟平衡测试来确定和验证平衡不稳定过程的理论极限,最佳匹配率为分数级0.475.5.
科学领域:
- 控制理论 控制理论
- 人类运动控制控制器
- 生物物理学的生物物理.
背景情况:
- 虚拟平衡任务提供了一个受控的环境来研究人类运动控制.
- 人类的反应时间和视觉处理 (记忆效应) 是平衡任务的关键因素.
- 分数顺序导数可以模拟这些复杂的动态,包括记忆效应.
研究的目的:
- 用小数顺序导数来概括人类棒平衡动态.
- 假设和研究一个延迟分数顺序的比例导数 (PD) 对不稳定的分数顺序过程的控制.
- 确定理论稳定性极限,并将其与实验数据进行比较.
主要方法:
- 用分数顺序导数概括棒平衡动力学.
- 开发一个无维的框架来分析运动方程.
- 对18名人类进行虚拟平衡测试.
- 将理论稳定性极限与实验结果进行比较.
主要成果:
- 理论稳定性极限被确定为动态顺序的函数.
- 虚拟平衡测试中的实验数据与理论极限非常接近.
- 理论预测和实验数据之间最好的匹配得到了0.475.5的分数顺序.
结论:
- 分数级控制模型有效地模拟人类平衡动态,结合反应延迟和视觉记忆.
- 该研究建立了平衡不稳定的分数顺序过程的理论极限.
- 实验验证证证实了分数顺序PD控制模型对人类平衡的适用性.
相关概念视频
Linear Approximation in Time Domain
81
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
81
Second Order systems II
96
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
96
Second Order systems I
144
A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
By reinterpreting the system, one can derive the closed-loop transfer function, which...
144
Stability
99
The time response of a linear time-invariant (LTI) system can be divided into transient and steady-state responses. The transient response represents the system's initial reaction to a change in input and diminishes to zero over time. In contrast, the steady-state response is the behavior that persists after the transient effects have faded.
The stability of an LTI system is determined by the roots of its characteristic equation, known as poles. A system is stable if it produces a bounded...
The stability of an LTI system is determined by the roots of its characteristic equation, known as poles. A system is stable if it produces a bounded...
99
Transient and Steady-state Response
173
In control systems, test signals are essential for evaluating performance under various conditions. The ramp function is effective for systems undergoing gradual changes, while the step function is suitable for assessing systems facing sudden disturbances. For systems subjected to shock inputs, the impulse function is the most appropriate test signal.
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state...
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state...
173
First Order Systems
89
First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
89


