基于自适应模糊PID算法的温度控制研究
Research on Temperature Control Based on Adaptive Fuzzy PID Algorithm
刘畅 1李天赋 1胡叙胜1
作者信息
- 1. 中国电子科技集团公司第五十八研究所,江苏 无锡 214026
- 折叠
摘要
为满足高温小井眼测井系统"井下仪器设备内部环境温度应维持在210℃以确保测试结果的稳定性"的要求,提出了一种基于自适应模糊PID算法的控制温度的方法.确定温度控制系统的传递函数及参数进行验证,构建模糊PID控制器,能够自适应调节P、I、D这3个参数,最后给出模糊PID温度控制曲线,并与传统PID算法的温度控制曲线进行对比分析.仿真结果表明,在给定环境温度为210℃的情况下,模糊PID算法温度调节时间更短,响应速度更快,超调量和稳态误差均为0,相比传统PID的模糊PID控制算法控制效果有明显的提高.
Abstract
In order to meet the requirement that the internal temperature of downhole instruments and equipment of high temperature small wellbore logging system should be maintained 210℃to ensure the stability of test results,a temperature control method based on adaptive fuzzy PID algorithm is proposed.The transfer function and parameters of the temperature control system are determined for verification,and a fuzzy PID controller is built,which can adjust the three parameters of P,I and D adaptively.Finally,the fuzzy PID temperature control curve is given,and the tem-perature control curve is compared with that of the traditional PID algorithm.The simulation results show that when the ambient temperature is 210℃,the temperature adjustment time of fuzzy PID algorithm is shorter,the response speed is faster,the overshoot and steady-state error are 0,and the effect of fuzzy PID control algorithm is signifi-cantly improved compared with the traditional PID control.
关键词
温度控制系统/模糊PID/响应速度/超调量/稳态误差Key words
temperature control system/fuzzy PID/response speed/overshoot/steady-state error引用本文复制引用
出版年
2024
NETL
NSTL
万方数据