摘要
针对循环流化床机组的协调控制系统,采用遗传算法对多变量PID控制器参数进行优化。结合PID和模糊控制两者的优点,采用了一种模糊自适应PID控制方法,不断修正变负荷时的PID参数,实现PID参数的实时调整,并对机组协调控制系统的模型做了仿真研究。结果表明:采用这种方法的控制效果更佳。
In the light of the coordinated control system of CFB power unit, a genetic calculation will be adopted for optimizing multivariable PID control parameters. Combined with the advantages of both PID and fuzzy controls, a fuzzy adaptive PID control way is adopted to realize the real-time adjustment of the PID parameters based on continuous revision of PID parameters during load variations. A simulation test has been carried out against the model of the coordinated control system of CFB power unit. Test results show that better control effect can be obtained with this method.
出处
《发电设备》
2012年第2期105-107,共3页
Power Equipment
作者简介
耿新伟（1987-），男，硕士研究生，研究方向为先进算法在热工过程优化中的应用。E—mail：masongxw@foxmail．com
