Adaptive PI and SMC for Control of Uncertain and Varying Time-Delay Chaotic Coronary Artery Vessel

Batuhan Bilgi, Meriç Çetin, S. Beyhan
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Abstract

In this paper, a fuzzy tuning based proportional-integral (PI) and sliding mode (SM) controllers are designed for the synchronization based control of chaotic coronary artery system. The coronary artery system is assumed to be disturbed by an uncertainty function that simulates an unhealthy condition. The synchronization of this unhealthy coronary artery to the healthy coronary artery is achieved by the designed controllers that provide a proper blood feeding to the heart. In fact, PI and SMC are feedback controllers to track a healthy coronary artery system trajectory as in model-reference control. First, PI and SM controller parameters are determined by a trial-and-error approach, however in second case, fuzzy system tuned parameters are also designed to get accurate synchronization based control results. The proposed and designed controllers are applied to improve synchronization performance of coronary artery system. In experiments, the performance of controllers is illustrated and rootmean squared errors (RMSE) are given in Table for a comparison. The numerical applications show better synchronization results and control performances compared to the literature works and fixed parameter cases.
不确定变时滞混沌冠状动脉的自适应PI和SMC控制
针对混沌冠状动脉系统的同步控制问题,设计了一种基于模糊整定的比例积分控制器和滑模控制器。冠状动脉系统被假定受到模拟不健康状况的不确定性函数的干扰。这种不健康的冠状动脉与健康的冠状动脉的同步是通过设计的控制器来实现的,控制器为心脏提供适当的血液供应。实际上,PI和SMC是与模型参考控制一样跟踪健康冠状动脉系统轨迹的反馈控制器。首先,通过试错法确定PI和SM控制器参数,其次,设计模糊系统调谐参数,以获得精确的同步控制结果。所设计的控制器用于改善冠状动脉系统的同步性能。在实验中,说明了控制器的性能,并在表中给出了均方根误差(RMSE)进行比较。与文献和固定参数情况相比,数值应用显示出更好的同步效果和控制性能。
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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