国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

Bed temperature and main steam pressure are important parameters in the operation of CFB boiler, which will directly affect the safety and economy of the unit. But as a result of the exist of the characteristics of nonlinear, large time delay and strong coupling between them two, the effect of field control has not been very good. At first, this paper adopts the adaptive neuron decoupling bed temperature and main steam pressure. Then use the PID controller of which parameters is optimized by ant colony algorithm with the division characteristics to control respectively. Using this algorithm optimization of conventional PID control parameters can find out the best parameters rapidly. This scheme was applied to CFB boiler combustion system simulation, the result shows that it can effectively decoupling the system with the advantages of fast response, less overshoot, this improved the quality of control effectively.