Study on PIDNN control of circulating fluidized bed boiler based on T-S model

Abstract

Temperature and pressure are two main parameters of CFBB in the control system. Because of the CFBB possess the characteristics of time-varying, large lag and strong coupling, it is difficult to set up the arithmetical model and achieve better control effects. According to above difficulties, this paper adopts T-S fuzzy modeling method to description the input-output relationship for the control system based on collected data of system. On this basis, it adopts the PIDNN controller algorithm which has very strong adaptability and the whole system simulation is carried out by using MATLAB. The results of simulation experiment show that the designed model is effective and the control system achieves satisfied control effect.

Short-term Wind Speed Forecast Using ARIMA Based on EEMD Decomposition

“…In order to visually see the ability of the model prediction in this article, three prediction and evaluation indicators are used to judge: The Root Mean Square Error (RMSE), the Mean Absolute Error (MAE), and the Mean Absolute Percentage Error (MAPE) [12] . There are the following formulas…”