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Analysis of a Model of the Triceps Surae Muscle Reflex Control System

机译:肱三头肌肱三头肌反射控制系统模型的分析

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Limit-cycle oscillations of two models of the triceps surae muscle stretch reflex system are analyzed, using previously derived criteria for single sign integral pulse frequency modulated (SSIPFM) control systems. The muscle spindle (MS) is assumed to function as an SSIPFM encoder. The system's stability and error correction ability are studied using the SSIPFM model together with published physiological data. It is shown that the loop gain, which in the model represents the decerebrate preparation, is close to the instability value, despite its relatively small magnitude. This observation and the steady-state error of the model concur with physiological phenomena of decerebrate preparations. In accordance with the adaptive control systems model in which the parameters can be modified, a simple pole is added at the origin of the forward transfer function for improved system performance. The new model is analyzed, and it is shown that higher gains are attainable without limit cycle oscillations and with improved steady-state error. A sensitivity study of the influence of system parameter variation on stability is carried out for both systems.
机译:使用先前导出的单符号积分脉冲频率调制(SSIPFM)控制系统标准,分析了肱三头肌肱三头肌肌腱反射系统的两种模型的极限循环振荡。假定肌肉主轴(MS)用作SSIPFM编码器。使用SSIPFM模型以及已发布的生理数据来研究系统的稳定性和纠错能力。结果表明,尽管环路增益的幅度相对较小,但在模型中代表去脑准备的环路增益仍接近不稳定性值。这种观察和模型的稳态误差与去脑制剂的生理现象相吻合。根据其中可以修改参数的自适应控制系统模型,在正向传递函数的起点处添加一个简单的极点以改善系统性能。对新模型进行了分析,结果表明,在没有极限循环振荡和改善了稳态误差的情况下,可以获得更高的增益。对两个系统都进行了系统参数变化对稳定性影响的敏感性研究。

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