基于改进天牛须算法的主汽温控制系统PID参数优化  

Optimization of PID Parameters for Main Steam Temperature in Power Plant Based on Improved Beetle Antennae Search

作　　者：仝家朋 Tong Jiapeng(Automation Department of North China Electric Power University,Hebei,Baoding,071003,China)

机构地区：[1]华北电力大学自动化系,河北保定071003

出　　处：《仪器仪表用户》2021年第3期93-96,9,共5页Instrumentation

摘　　要：为了在实时性要求高、弱计算力环境中更好应用PID规律,对天牛须算法进行改进。更改了步长衰减公式,使步长的衰减更符合算法的需求,同时加入了变异环节,在进行局部搜索时发挥作用。改进天牛须算法与原天牛须算法的测试结果表明,改进天牛须算法有更好的搜索能力;与粒子群算法、经验公式法在电厂主汽温控制系统PID参数优化中的对比表明,主汽温控制系统在改进天牛须搜索算法的优化下拥有更好的、更快的调节效果,而且优化所需时间更短。In order to better apply PID rule in high real-time and weak computing environments,the beetle antennae search algorithm(BAS)was improved.The step attenuation formula is changed to make the step attenuation more in line with the requirements of the algorithm,and the mutation link is added to play a role in local search.The test results of the improved algorithm and the original algorithm show that the improved BAS has better performance.Compared with particle swarm optimization and empirical formula method in PID parameter optimization of main steam temperature control system of power plant,it shows that the main steam temperature control system has better and faster regulation effect under the optimization of improved tianniu search algorithm,and the optimization time is shorter.

关 键 词：天牛须搜索算法 粒子群算法 PID 控制系统优化 主汽温控制 

分 类 号：TP273.2[自动化与计算机技术—检测技术与自动化装置]