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智能算法在450t/h CFB锅炉床温—主蒸汽压力控制中的应用

Application of Intelligent Algorithm to Bed Temperature-Main Steam Pressure Control of 450t/h CFB Boiler

【作者】 李亮

【导师】 于希宁;

【作者基本信息】 华北电力大学(河北) , 控制理论与控制工程, 2008, 硕士

【摘要】 循环流化床(CFB)锅炉燃烧控制系统是一个分布参数、非线性、时变、大滞后、多变量紧密耦合的被控对象,燃烧控制难,自动投运率低,实际运行中主要依靠手动控制。本文在分析CFB锅炉运行特性的基础上,针对某机组原控制系统存在问题,对子系统的常规PID控制方案进行改进,提出负荷分段控制,结合实际运行经验,采用智能算法对燃烧控制系统的床温及主蒸汽压力控制子系统进行设计、仿真、组态与调试,并采用参数自整定模糊PID多变量解耦控制的思想力求实现CFB锅炉床温-主蒸汽压力的解耦控制。通过对设计方案的仿真研究,结果表明:该设计方案具有良好的解耦效果,控制系统的调节品质令人满意,并具有良好的鲁棒性和抗干扰能力。

【Abstract】 The combustion control system of CFB boiler is an object that has many features: distributed parameters, nonlinear, time-varying, big lagging and a lot of tightly coupled variables. It is difficult to control and the automation level is low, mainly based on manual control in actual operation. The article analysis the operating characteristics of CFB boiler, in order to solve the problem of primary control system, the regulatory PID control is improved. The load piecewise control is proposed, in conjunction with actual situational experience, intelligent algorithm is used for design、simulate、configuration and debug for each subsystems of firing control system, method of parameter self-tuning fuzzy PID multivariable decouple is used for bed temperature and main vapor pressure decoupling control realization. The simulation results shows that the design program can decouple control very well, the quality of control system is good and the robustness and anti-interference quality are also good.

  • 【分类号】TP273
  • 【被引频次】1
  • 【下载频次】156
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