模糊RBF自整定PID控制器在过热汽温控制中应用

过热汽温控制是电厂锅炉控制系统的一个重要环节。针对电厂过热汽温对象具有较大的惯性、时滞、非线性和动态特性随运行工况变化的特点,提出一种模糊径向基函数(RBF)神经网络的自整定PID控制器应用于过热汽温控制中,它结合了传统PID及神经网络和模糊控制的优点,可在线调整得到一组最优的PID控制参数。介绍了所提控制器在超临界机组过热汽温控制中的应用。对负荷为100%、88%、62%、44%的仿真结果表明,所提控制器能获得满意结果,优于PID控制器。

Application of fuzzy-RBF-based PID controller in superheated steam temperature control system

The superheated steam temperature control is an important part in the boiler control system of power stations.As the superheated steam temperature has large inertia,time-delay and nonlinearity,and its dynamic characteristics change with the operating conditions,a self-tuning PID controller based on fuzzy-RBF(Radial Basis Function) neural networks is presented for its control,which has the advantages of traditional PID control,neutral networks control and fuzzy control and on-line optimizes PID parameters.Its application in a supercritical unit is introduced.Simulations under 100 %,88 %,62 %,44 % unit load conditions validate its better performance than normal PID controller.