Lagrange interpolation for signal reconstruction in event-based GPC

A. Pawłowski, J. L. Guzmán, M. Berenguel, S. Dormido
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引用次数: 7

Abstract

This work presents the application of Lagrange interpolation method for a signal reconstruction in event-based Generalized Predictive Control (GPC). The event-based control system is governed by level crossing sampling techniques, which monitors the controlled variable. The Lagrange interpolation method is used to reconstruct signal values between two consecutive events. The interpolated signal values are used to unify the obtained values to a base signal, which is resampled with fixed frequency. The developed event-based GPC with Lagrange interpolation is verified through a simulation study, considering several process models commonly used in industrial applications. The obtained results show a proper operation of the event-based controllers, due to good interpolation accuracy.
基于事件的GPC信号重构中的拉格朗日插值
本文介绍了拉格朗日插值方法在基于事件的广义预测控制(GPC)信号重构中的应用。基于事件的控制系统由水平交叉采样技术控制,该技术监测被控变量。采用拉格朗日插值法重构两个连续事件之间的信号值。利用插值后的信号值将得到的值统一为基信号,以固定频率对基信号进行重采样。结合工业应用中常用的几种过程模型,通过仿真研究验证了基于拉格朗日插值的事件GPC。结果表明,基于事件的控制器具有良好的插补精度,能够正常工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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