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

作　　者：刘畅 李天赋 胡叙胜 LIU Chang;LI Tianfu;HU Xusheng(The 58th Research Institute of China Electronics Technology Group,Wuxi 214026,China)

机构地区：[1]中国电子科技集团公司第五十八研究所,江苏无锡214026

出　　处：《电子质量》2024年第11期24-28,共5页Electronics Quality

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。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 temperature 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 significantly 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 

分 类 号：TP316.1[自动化与计算机技术—计算机软件与理论]