基于人工鱼群优化的锅炉汽包水位模糊预测

Fuzzy Prediction of Boiler Drum Water Level Based on Artificial Fish Swarm Optimization

介绍火电厂锅炉汽包水位在实际生产中的工作特点,将人工鱼群优化滚动、优化策略的广义预测控制算法和T-S模糊模型应用于汽包水位建模中,并将其作为广义预测控制的预测模型,研究基于模糊T-S模型的广义预测控制算法在汽包液位控制系统中的应用。在MATLAB仿真环境下对其控制效果和性能进行分析。

The characteristics of boiler drum water level in the power plant was introduced,and intensive study on general predictive control(GPC)algorithm based on artificial fish rolling optimization strategy was presented,including T-S fuzzy model used in drum water level modeling and taking it as a prediction model for generalized predictive control,as well as the application of fuzzy T-S model-based GPC control algorithm in drum level control system.MATLAB simulation results prove both control effect and performance of this general predictive control.