Dynamic modeling of steam condenser and design of PI controller based on grey wolf optimizer
type: Item
instance of: scholarly article
title: Dynamic modeling of steam condenser and design of PI controller based on grey wolf optimizer
zbMATH Open document ID: 1394.90570
DOI: 10.1155/2015/120975
author: Shu-Xia Li
author: Jie-Sheng Wang
published in: Mathematical Problems in Engineering
publication date: 2018-08-27T00:00:00Z
review text: Summary: Shell-and-tube condenser is a heat exchanger for cooling steam with high temperature and pressure, which is one of the main kinds of heat exchange equipment in thermal, nuclear, and marine power plant. Based on the lumped parameter modeling method, the dynamic mathematical model of the simplified steam condenser is established. Then, the pressure PI control system of steam condenser based on the Matlab/Simulink simulation platform is designed. In order to obtain better performance, a new metaheuristic intelligent algorithm, grey wolf optimizer (GWO), is used to realize the fine-tuning of PI controller parameters. On the other hand, the Z-N engineering tuning method, genetic algorithm, and particle swarm algorithm are adopted for tuning PI controller parameters and compared with GWO algorithm. Simulation results show that GWO algorithm has better control performance than other four algorithms.
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 6925505
Wikidata QID: Q59118438
describes a project that uses: Simulink
describes a project that uses: ABC
describes a project that uses: GWO
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/120975
OpenAlex ID: W2192688624
description: scientific article; zbMATH DE number 6925505