Drum pressure control based on PID-type fuzzy neural network in fossil-fired electric power station
基于PID型模糊神经网络的火电站汽包压力控制

In order to overcome the nonlinearization, time-variability and pure lag of fuel-drum pressure control loop in the power station, a PID-type fuzzy neural network with a self-regress nerve cell was proposed as the drum pressure controller in the coordinate control system. The simulation research shows that the time-variability and random disturbance can be overcome by the controller, which is easy to select the initial value and capable of self-learning and thus considerably improves control quality.