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Robustness analysis of locomotion controllers for mechanical rectifier systems in natural oscillation

机译:机械整流系统固有振动时运动控制器的鲁棒性分析。

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A class of feedback controllers has been proposed to achieve a desired locomotion behaviour for mechanical rectifier systems in recent work. It is inspired by a biological neuron circuit called central pattern generator and is expected to exhibit robust and adaptive abilities against system parameter uncertainties and external disturbances. The controller was originally designed in an ideal situation that system parameters such as friction coefficients were precisely known, and measurement channels and actuation circuits were noiseless. In this study, the authors conduct specific robustness analysis for the locomotion controller with respect to system parameter variations and measurement and actuation noises. The numerical study shows that the locomotion controller is able to maintain a reasonable performance under these circumstances.
机译:在最近的工作中,已经提出了一类反馈控制器以实现机械整流器系统的期望的运动行为。它受到称为中央模式发生器的生物神经元电路的启发,有望对系统参数不确定性和外部干扰具有强大的适应能力。该控制器最初是在理想的情况下设计的,它可以精确地知道诸如摩擦系数之类的系统参数,并且测量通道和驱动电路无噪音。在这项研究中,作者针对系统参数变化以及测量和驱动噪声对运动控制器进行了特定的鲁棒性分析。数值研究表明,在这种情况下,运动控制器能够保持合理的性能。

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