基于GWO的换热过程PID控制器整定

2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS) Pub Date : 2017-05-01 DOI:10.1109/SSPS.2017.8071631

K. Anbumani, DR. R. Ranihemamalini, DR. G. Pechinathan

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引用次数: 8

摘要

本文提出了一种基于进化算法的换热器控制器设计方法。通过对灰狼优化算法的研究，发现灰狼优化算法是一种较好的控制器整定进化算法。利用GWO对PID控制器进行整定，并对换热器的一阶传递函数模型进行仿真。对所得到的性能指标进行了实测，并与粒子群优化技术进行了比较。通过比较，发现GWO对换热器工艺优化效果较好。

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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GWO based tuning of PID controller for a heat exchanger process

In this paper design of controller for a heat exchanger is proposed by using evolutionary algorithm. It is used to find the Grey wolf optimization is one the evolutionary algorithm for better controller tuning. The tuning of PID controller is done by GWO and the simulation are conducted for first order transfer function model of heat exchanger. The performance indices are measured and the measured performance indices are compared with particle swarm optimization technique. From the comparison we realized GWO gave the better optimization for the heat exchanger process.

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2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)

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