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Identification of Gimbaled Gyroscopic Systems Using Higher Order Sliding Mode Observers

机译:使用高阶滑模观测器识别万向陀螺仪系统

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In industry it is often necessary to create a representative mathematical model of a piece of unknown or partially known hardware. Solutions to this problem exist for linear systems, but depend heavily on the availability of the system state vector and its derivative for calculation. This paper proposes the use of recent advances in sliding mode control and observation theory to overcome this data requirement. The higher order sliding mode (HOSM) control based identification algorithm that incorporates higher order sliding mode differentiators has been used for identification of a linearized 2-axis gimbaled gyroscope system. A full non-linear model of the system is created via system identification using the results of the identification. The identification process is performed for both exact and noisy measurements showing exceptional performance of the HOSM-based identification algorithm.
机译:在工业中,通常需要创建一块未知或部分已知的硬件的代表性数学模型。对于线性系统存在对此问题的解决方案,但大量取决于系统状态向量的可用性及其计算的计算。本文提出了利用最近的滑模控制和观察理论的进步来克服这种数据要求。包括高阶滑动模式差分差异的高阶滑动模式(HOSM)控制识别算法用于识别线性化的2轴万向陀螺仪系统。通过使用识别结果,通过系统识别创建系统的完整非线性模型。对识别过程进行精确和嘈杂的测量,显示了基于HOSM的识别算法的卓越性能。

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