基于布谷鸟搜索算法的压力装置PID整定控制策略

Kelvinder Singh, I. Elamvazuthi, K. Shaari, F. Lima
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引用次数: 3

摘要

植物过程是过程的一种形式,它需要一个鲁棒控制器来调节过程。因此,针对特定过程调整控制器是必要的,并且每个控制器都是特定于过程的。由于仿生算法能够在上升时间、稳定时间和超调量方面改善系统性能,因此本文重点研究利用仿生算法对闭环压力系统进行调节。这些仿生算法擅长于最优化问题。将研究的算法是Ziegler-Nichols (ZN)和Cuckoo Search (CS),用于调节闭环压力装置系统的比例-积分-导数(PID)控制器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PID tuning control strategy using Cuckoo search algorithm for pressure plant
Plant process is a form of a process which requires a robust controller to regulate the process. Therefore, tuning of the controller for the specific process is necessary and each controller is process specific. This paper focuses on using the biomimetic algorithm due to its' competency to improve the system performance in terms of rise time, settling time and overshoot to regulate a closed loop pressure system. These biomimetic algorithms excel in optimization problems. Algorithms that will be investigated are the Ziegler-Nichols (ZN) and Cuckoo Search (CS) in tuning the Proportional-Integral-Derivative (PID) controller for a closed loop pressure plant system.
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