摘要
PID控制器广泛应用于自动控制、电子等领域,其参数的合理性是衡量系统性能指标的关键因素。引入自适应权重策略来平衡海鸥优化算法的全局搜索和局部搜索能力,通过惯性权重的余弦策略来增强局部搜索能力,以使算法更好地优化PID控制器的参数。对12个标准测试函数和二阶温控延迟系统进行测试,将算法与遗传算法、粒子群算法、人工鱼群算法进行比较,结果表明此算法具有更优的搜索性能。最后,将算法用于优化PID控制器的参数,结果显示算法具有良好的特性。
PID controller is widely used in automatic control,electronics and other fields,the rationality of PID parameters is the key factor to measure the performance index of the system.Adaptive weight strategy was introduced to balance global search and local search ability,and the local search ability of the seagull optimization algorithm was enhanced by cosine strategy of inertial weight.Tweleve standard test functions and a second-order temperature control delay system were tested,the test results were compared with genetic algorithm,particle swarm algorithm and artificial fish swarm algorithm.The results show that the proposed algorithm is feasible for optimizing the parameters of the PID controller.
作者
许乐
莫愿斌
卢彦越
XU Le;MO Yuanbin;LU Yanyue(School of Artificial Intelligence,Guangxi University for Nationalities,Nanning Guangxi 530006,China;Guangxi Key Laboratory of Hybrid Computation and IC Design Analysis,Nanning Guangxi 530006,China;School of Chemistry and Chemical Engineering,Guangxi University for Nationalities,Nanning Guangxi 530006,China)
出处
《机床与液压》
北大核心
2021年第16期17-23,共7页
Machine Tool & Hydraulics
基金
国家自然科学基金项目(21466008)
广西自然科学基金项目(2019GXNSFAA185017)。
关键词
海鸥算法
PID控制器
自适应权重策略
惯性权重的余弦策略
Seagull optimization algorithm
PID controller
Adaptive weight strategy
Cosine strategy of inertial weigh
