Mutual synchronization between structure and central pattern generator

Mutual synchronization between structure and central pattern generator
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结构和中央模式发生器之间的相互同步

DOI:
10.1117/12.915045
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发表时间:
2012
期刊:
Proc. SPIE 8345, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2012
影响因子:
--
通讯作者:
Junichi Hongu ; Daisuke Iba
Junichi Hongu ; Daisuke Iba
中科院分区:
--
文献类型:
--
作者:
S. Hirohata;D. Iba;M. Nakamura and I. Moriwaki;Junichi Hongu ; Daisuke Iba

文献摘要

相似文献

本文提出了一种评价方法之间的同步结构和中央模式发生器(CPG),这是嵌入在控制器设计的主动质量阻尼器。构成CPG的神经振子具有非线性和夹带特性。因此,所提出的控制器有可能表现出鲁棒性的特性,当结构参数,即刚度或阻尼,由地震等改变。我们早期的研究已经提出了新的控制器,并确定振动抑制的功效。然而,还没有研究来评估控制器的上述属性。为了适应实际应用,必须分析控制器的可靠性和鲁棒性沿着减振性能。本文尝试用相位缩减理论来评价结构与CPG之间的同步性。在这种情况下,需要研究目标结构和构成CPG的单个神经振荡器之间的同步。因此,首先研究了单神经元振荡器在正弦输入下的协调特性,并利用相位响应曲线表示了同步区域。此外,利用谐波特性的结果,研究了正弦输入下结构与单个神经元振子之间的相互同步。
This paper shows an evaluating method of synchronization between a structure and Central Pattern Generators (CPGs), which are embedded in a controller designed for an active mass damper. A neural oscillator composing the CPGs has nonlinear and entrainment properties. Therefore, the proposed controller has possibility to exhibit the characteristic of robustness, when the structural parameters, i.e. stiffness or damping, are changed by earthquakes and the like. Our earlier studies have proposed the new controller and ascertained the efficacy of vibration suppression. However, there has been no study to evaluate the controller's above-mentioned properties. For tuning into practical application, the reliability and robustness along with the controller's vibration mitigation performance must be analyzed. In this paper, phase reduction theory is tried to appraise the synchronization between a structure and the CPGs. In this case, the synchronization between the target structure and a single neural oscillator constituting the CPGs is required to be investigated. Therefore, the single neural oscillator's the harmonization characteristic with sinusoidal input is firstly examined, and the synchronization region is expressed using phase response curves. In addition, the mutual synchronization between the structure and the single neural oscillator is studied under sinusoidal input using the result of the harmonization characteristic.