一种新的增压锅炉空气流量的控制方法

A new control method for combustion-supporting air flow in a supercharged boiler

船用增压锅炉与一般锅炉的区别在于涡轮增压装置提供的高压助燃空气,空气流量的调节具有时变性、非线性、强耦合等特性,经典的控制难以取得好的控制效果.为此综合模糊控制的动态响应快、鲁棒性强与神经网络的学习能力、泛化能力好的优点,拟将基于遗传算法的FUZZY-CMAC复合控制方式应用于增压锅炉助燃空气流量的控制器设计中.仿真结果表明,系统的上升时间短,超调量小,稳定性得到了明显的改善,该控制策略很好地解决了空气流量的控制难点,遗传算法的存在使非线性复杂系统具有了很强的抗干扰性.

The most significant difference between a marine supercharged boiler and a standard boiler lies in that the marine supercharged boiler uses a turbine to supply compressed combustion-supporting air. Effective control of the air flux depends on time-varying characteristics with nonlinearity and complex coupling, making it almost impossible to get good performance with traditional controllers. After evaluating the characteristics of fuzzy controllers with quick dynamic response, good robustness, good learning capability and good generalization capability of neural network control, a Fuzzy-CMAC joint controller based on a genetic algorithm （GA） was used in the controller design for combustion-supporting air flow in a supercharged boiler. Simulation results show that the transition time is shortened and overshoot is decreased significantly and system stability is materially improved. The proposed control strategy solves control difficulties and the system has strong anti-jamming ability because of the application of GA.