基于软测量氧量校正风粉比的锅炉燃烧优化控制  

The boiler combustion optimization control strategy based on soft-sensing oxygen emendation air-coal proportion

作　　者：张丽香[1] 段秋刚 

机构地区：[1]山西大学工程学院自动化系,山西太原030013 [2]山西电力科学研究院热工控制室,山西太原030001

出　　处：《计算机与应用化学》2008年第7期863-866,共4页Computers and Applied Chemistry

基　　金：山西省科技攻关基金(051167)

摘　　要：针对电站煤粉锅炉燃烧过程中存在的氧量信号测量滞后大和可靠性差,燃烧被控对象具有非线性和不确定性,煤质经常发生变化的问题,提出基于软测量氧量校正风粉配比的锅炉燃烧优化控制策略。利用软测量模型可以减少测量滞后,提高信号可靠性;利用风煤比在线校正,实现在煤质变化条件下始终保持燃烧经济性指标稳定。随着对象特性的变化,采用模糊推理在线修改调节器参数,使控制系统的性能满足要求。通过大型锅炉现场应用试验证明,采用神经网络实现的软测量模型可以在氧化锆氧量计故障情况下,提供准确的烟气含氧量。在负荷干扰和煤质变化过程中,主蒸汽压力偏差小于±0.5MP,烟气含氧量偏差小于±0.1%。Because of much time lag and less dependability of oxygen analyst, the combustion controlled object of the power station boiler is nonlinear and incertitude, and the different variety of coal-matter, the boiler combustion optimization control strategy based on soft-sensing oxygen emendation air-coal proportion was introduced. It is possible that the time lag will be reduced and the reliability will be increased by soft-sensing oxygen. The economic performance of the combustion will be fulfilled in different variety of coal by adjusting air-coal proportion. The control quality can be satisfied by fuzzy consequence adjusting controller parameters along with controlled object change. When zirconia instrument is at fault, the application result in a big capacity boiler shows that the soft-sensing model can gain exact oxygen content. When the load and the coal-matter are changed, the error of main steam press is less than ± 0. 5 MP, and the error of the oxygen content in fuel gas is less than ± 0. 1%.

关 键 词：燃烧优化 软测量 风粉比 智能控制 

分 类 号：TP273.1[自动化与计算机技术—检测技术与自动化装置]