随机分布控制在炉膛截面温度场中的应用研究

Application of Stochastic Distribution Control Theory in Section Furnace Temperature Field

考虑现有的炉膛火焰温度场检测与重建技术,以截面温度场为输出量,实现燃料量控制系统的随机分布控制。依据四角切圆炉膛燃烧的特点,构造截面温度场,然后辨识出基于样条函数的输出概率密度函数动态模型。在随机分布控制理论框架下,进行常规控制和预测控制仿真研究,使截面温度场跟踪给定分布。仿真结果验证了该控制算法的有效性,相比传统锅炉燃烧控制策略不存在大延迟、大惯性问题,有较好的应用前景。

Using the existing technologies of furnace flame temperature field detection and reconstruction, it is convenient to ob- tain section temperature field, which can be used as output in stochastic distribution control （SDC） for the fuel control system. Based on the characteristics of four corners tangentially fired furnace, a model of section temperature field is built. Then the cor- responding output probability density function （PDF） dynamic model based on spline functions is identified. Under the framework of SDC theory, conventional control and predictive control are adopted to make the section temperature field track the ideal distribution. The simulation results show the effectiveness of the control algorithms. Compared with the traditional furnace combustion control strategy, this method without problems from large delay and large inertia has good application prospects.