参数估计及其在整定PI控制方案中的应用

Sanjay Bhadra, Atanu Panda, Sawan Sen, P. Bhowmick
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引用次数: 0

摘要

本文提出了基于扩展卡尔曼滤波(EKF)和Unscented卡尔曼滤波(UKF)的鲁棒自适应PI控制方案,并在非线性基准过程的仿真模型上进行了实现。采用所提出的调谐方法,伺服和调节性能令人满意。将所提控制方案的性能与传统的自适应PI (CA-PI)控制方案进行了比较。从大量的仿真研究中发现,所提出的非线性过程控制方案比CA-PI控制方案具有更好的性能。实验还发现,所提出的控制方案能够消除测量噪声,并且具有良好的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parameter estimation and its application in tuning PI control scheme
In this paper, Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) based robust adaptive PI Control Scheme have been proposed and implemented on the simulated model of the non-linear benchmark processes. The servo and regulatory performance using proposed tuning methodologies were found satisfactory. The performances of the proposed control schemes have been compared with conventional adaptive PI (CA-PI) control scheme. From the extensive simulation studies, it was found that the proposed schemes implemented on non-linear processes are having better performance over CA-PI control scheme. It was also found that proposed control schemes are able to eliminate measurement noise and having good robustness features.
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