摘要
提出了一种电站锅炉汽包水位控制系统的单神经元自适应Smith预估补偿控制策略。将蒸汽流量信号引入到单神经元网络中来考虑负荷变化对锅炉汽包水位的影响 ,使其具有前馈补偿能力 ,以消除“虚假水位”现象。
A strategy of single neuron self-adapting compensation control via Smith predictor for drum level control system in power station was put forward. The steam flux signal was introduced into the single neuron network to consider the effect of load changing on drum level. The network thus can perform feedforward compensation for steam flux disturbance and eliminate the ”false water level” phenomenon. Result of simulation experiment verifies the control strategy effective and practical.
出处
《华东电力》
北大核心
2004年第12期8-11,共4页
East China Electric Power
