针对凝给水系统运行时面临着来自上下游设备的强烈边界干扰问题，考虑高度非线性系统下存在的泵阀强耦合特性及管道回路振荡、设备控制延迟等现象，基于传统PID控制方式的凝给水系统整体调节过程稳定性较差。论文应用Matlab Simulink软件进行凝给水系统控制策略仿真研究，在泵阀耦合分析的基础上提出供水流量-给水阀压差多目标耦合控制策略；针对系统抗干扰和稳定运行需求，构建基于模糊神经网络的控制参数更新方案，增强控制系统自适应能力和调节性能。仿真结果显示，相较传统PID控制方式，论文采用的控制方案对于供水流量波动减小6.6%，给水阀两端压差波动范围减小53.8%。

In response to the strong boundary interference from upstream and downstream equipment faced by the condensate and feedwater system during operation, considering the strong coupling characteristics of pumps and valves, pipeline loop oscillation, equipment control delay and other phenomena in highly nonlinear systems, the overall stability of the condensate water system regulation process based on traditional PID control method is poor. The paper applies Matlab Simulink software to simulate the control strategy of condensate and feedwater system, and proposes a multi-objective coupling control strategy of water supply flow rate and water supply valve pressure difference based on pump valve coupling analysis; To meet the requirements of anti-interference and stable operation of the system, a control parameter update scheme based on fuzzy neural network is constructed to enhance the adaptive ability and regulation performance of the control system. The simulation results show that compared with the traditional PID control method, the control scheme adopted in the paper reduces the fluctuation of water supply flow by 6.6% and the fluctuation range of pressure difference at both ends of the water supply valve by 53.8%.

教育部产学合作协同育人项目（202101204003）