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基于模糊PID算法的双尺度低NOx燃烧器自适应控制

Adaptive Control of Dual Scale Low NOx Burner Based on Fuzzy PID Algorithm

  • 摘要: 由于变负荷工况下双尺度低NOx燃烧器存在非线性、强耦合的特性,导致燃烧效率与低排放难以协同控制,设计一种基于模糊PID算法的双尺度低NOx燃烧器自适应控制方法。通过将燃烧过程解耦为主燃区宏观风煤配比与还原区微观分级两个尺度,构建了双尺度低NOx燃烧器模型。针对模型参数摄动与多变量强约束的难点,设计模糊PID自适应控制策略:通过二维模糊规则在线整定PID参数,并将模糊PID输出的控制量转换为双尺度执行机构的协同动作指令,实现自适应控制。通过现场工业试验,验证了该控制方法在双尺度低NOx燃烧器上的有效性与工程适用性。

     

    Abstract: Due to the nonlinear and strongly coupled characteristics of dual scale low NOx burners under variable load conditions, it is difficult to achieve coordinated control of combustion efficiency and low emissions. A fuzzy PID algorithm based adaptive control method for dual scale low NOx burners is designed. A dual scale low NOx burner model was constructed by decoupling the combustion process into two scales: the macroscopic air coal ratio in the main combustion zone and the microscopic classification in the reduction zone. Design a fuzzy PID adaptive control strategy to address the challenges of model parameter perturbations and strong constraints on multiple variables. The PID parameters are tuned online using two-dimensional fuzzy rules, and the control output of the fuzzy PID is converted into collaborative action instructions for a dual scale actuator to achieve adaptive control. The effectiveness and engineering applicability of this control method on dual scale low NOx burners have been verified through on-site industrial tests.

     

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