FCMAC在蒸汽发生器水位控制中的仿真研究

蒸汽发生器是一个高度复杂的非线性时变系统,在其工况变化时具有逆动力学效应,使得蒸汽发生器的水位控制变得复杂.而其工作性能直接影响反应堆的安全运行.采用传统PID控制方案难以达到控制要求.针对蒸汽发生器的水位控制提出一种基于模糊小脑模型连接控制(FCMAC)与PID联合的控制方案.方案中,将传统的CMAC神经网络和模糊控制原理相结合,形成的FCMAC神经网络实现前馈控制,实现被控对象的逆动态模型;PID实现反馈控制,保证系统稳定性,且抑制扰动.仿真结果表明,该方案具有响应快,超调量小,较强抑制干扰能力等良好性能.

Simulation of Water Level Control for Steam Generator Based on FCMAC

The steam generator(SG) is a highly complex,non-linear,and time-varying system,and has contradictorily dynamic effect when work status changes,so the steam generator water level control is complicated.Its work performance affects the running security of the reactor.The traditional PID control can't meet the demand.A Fuzzy Cerebellar Model Articulation Controller(FCMAC) combined with PID control scheme is proposed for SG water level control.In this scheme,FCMAC neural networks exploit a synergism between the original CMAC neural networks and the theory of fuzzy logical controller.It is used for feed-forward control and contradictorily dynamic control.PID is used for feed-back control,to ensure system stability,and restrain disorder.The simulation results show that this scheme has faster response,smaller overshoots and better cross-coupling rejection etc.