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基于遗传算法的PID参数整定在高温多相流风洞中的应用

Application of PID(Proportional,Integral and Differential)Parameter Setting Based on a Genetic Algorithm in a High-temperature Multiphase Flow Wind Tunnel

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【作者】 徐婷艳浦兴国袁镇福

【Author】 XU Ting-yan,PU Xing-guo,YUAN Zhen-fu(National Key Laboratory on Clean Utilization of Energy Source,Zhejiang University,Hangzhou,China,Post Code:310027)

【机构】 浙江大学能源清洁利用国家重点实验室

【摘要】 高温多相流风洞可以模拟锅炉运行过程中的气固两相流流动工况,方便研究流动特性及测试方法。为了更好地控制风洞的技术参数,风洞主要的控制回路中采用了PID控制,并对PID参数进行基于遗传算法的参数整定。重点介绍了遗传算法目标函数的选取以及遗传算法的具体操作,并在选择操作中结合最优保存策略。借助Matlab软件对温度控制对象进行基于遗传算法的PID参数整定的仿真。将整定的PID参数代入现场调试,稍加修正后得到kp=0.2173,ki=0.4505,kd=0.0758,实验中温度的最大动态偏差为1℃,具有良好的控制品质。

【Abstract】 A high-temperature multiphase flow wind tunnel can simulate gas-solid two-phase flow conditions during the operation of a boiler,facilitating the study of flow characteristics and testing methods.To better control the technical parameters of the wind tunnel,PID(proportional,integral and differential)controllers were adopted in the main control loops of the wind tunnel and the PID parameters were set based on a genetic algorithm.The choice of the target function based on the genetic algorithm and the concrete operations of the genetic algorithm were described in detail with the option operations being coupled with optimum preservation tactics.By using software Matlab,a simulation was performed of the PID parameter setting of temperature control objects based on the genetic algorithm.The set PID parameters were used for on-site commissioning test,and kp=0.2173,ki=0.4505 and kd=0.0758 were obtained after a tiny correction.During the test,the maximal dynamic deviation of temperature was 1 ℃,thus attaining a good control quality.

  • 【文献出处】 热能动力工程 ,Journal of Engineering for Thermal Energy and Power , 编辑部邮箱 ,2010年04期
  • 【分类号】O359
  • 【被引频次】15
  • 【下载频次】208
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