超超临界机组模型的非线性分析及控制

Non-linear Analysis and Control of the Model for Ultra-supercritical Units

为了实现大型超超临界机组的大范围变负荷稳定运行,引用了间隙测度概念,分析了某3输入3输出的1 000MW超超临界机组模型的非线性特性,结合(K均值)聚类算法实现了机组负荷的划分和典型工况点的选定。采用小偏差线性化的方法得到每个典型工况点下的线性化模型,然后基于H∞回路成形设计出每个线性化模型对应的鲁棒控制器,最后结合模糊监督控制给出了模糊多模型监督控制设计方案。实验仿真结果表明:该控制器设计方案实现了超超临界机组负荷的快速跟踪,为非线性系统的控制问题提供了一个新方法。

To realize the stable operation of large-sized ultra-supercritical units in a wide range at a variable load,adopted was a conception of the clearance measure. On this basis,the non-linear characteristics of a model for 1 000 MW ultrasupercritical units with three inputs and three outputs were analyzed. Bu adopting the K-mean clustering algorithm, the division of loads of the unit and the selection of its typical operating points were accomplished. By employing the small deviation linearization method,the linear models at each typical operating point were obtained and then,based on the H∞ loop formation,the corresponding robust controllers to each linearization models were designed. Finally, in combination with the fuzzy supervision and control,a fuzzy multi-model supervision and control version was given. The test and simulation results show that the design version of the controller under discussion can realize a quick tracking of the load of a ultra-supercritical unit,thus offering a new method for controlling a non-linear system.