Abstract: For the issues that the accurate control of the superheated steam temperature in thermal power plant boiler, a feedforward - feedback control system based on fuzzy logic control (FLC) is proposed, and construct a two-stage temperature regulation mechanism of feedforward and feedback. The feedforward FLC controller outputs a spray flow rate signal based on the feedwater flow rate and the fuel flow rate for the middle section superheater and the rear stage superheater control module respectively. The feedback FLC controller outputs a spray flow rate signal based on the temperature error and the error change rate between the superheater output steam temperatures with the reference. And the simplified particle swarm optimization (SPSO) is used to optimize parameters. Then, the two spray flow rate signal is fused, so as to accurately control the spray control valve, and stable steam temperature to the reference value. The simulation results show that the proposed FLC control system can control the temperature quickly and efficiently, and has good robustness to the load change.

Key words: Super-heated steam temperature, fuzzy logic, feedforward control, spray flow rate, simplified particle swarm optimization (SPSO).

摘要： 针对火电厂锅炉过热蒸汽温度的准确控制问题，提出一种基于模糊逻辑控制(FLC)的前馈-反馈控制系统，构建了前馈和反馈两级调温机制。前馈FLC控制器根据给水流率和燃料流率，分别为中段过热器和后段过热器控制模块输出一个喷雾流率信号。反馈FLC控制器根据过热器输出蒸汽温度与参考值的误差和误差变化率，输出一个喷雾流率信号，采用简化粒子群优化(SPSO)算法进行参数优化。然后将这2个喷雾流率信号进行融合，以此来精确控制喷雾调节阀，稳定蒸汽温度到参考值。仿真结果表明，提出的FLC控制系统能够快速有效地控制温度，且对负荷变化具有很好的鲁棒性。

关键词: 过热蒸汽温度, 模糊逻辑, 前馈控制, 喷雾流率, 简化粒子群优化(SPSO)