自适应T-S模糊多模型在汽包水位滑模预测控制器设计中的应用

Application of adaptive T-S fuzzy model in design of sliding mode predictive controller for steam drum water level

针对船舶增压锅炉汽包水位随时间变化及船舶运行的非线性等特点,本文运用自适应T-S模糊多模型进行汽包水位滑模预测控制,并利用减法聚类进行前件辨识,利用最小乘法进行后件规则的在线自适应辨识。最后将本文算法与RBF动态补偿控制进行对比,以此来说明本文算法的鲁棒性强。

According to the time variation of steam drum water level and the nonlinear characteristics of ship operation,In this paper, the model of adaptive T-S model was used to predict and control the water level of the drum. And the first part was identified by subtractive clustering. The on-line adaptive identification of the following rules was made by using the least square method. At last, the algorithm was compared with RBF dynamic compensation control to illustrate the robustness of the algorithm in this paper.