基于RBF-ARX模型的三容水箱系统预测控制  

Predictive Control for Three-Tank Water System Based on RBF-ARX Mode

作　　者：刘丽丽[1,2] 左继红[1,2] 吴军[1] 邓秋连[1] LIU Lili ZUO Jihong WU Jun DENG Qiulian(School of Information Science and Engineering, Central South University, Changsha 410083 College of Hunan Railway Professional Technology, Zhuzhou 412001)

机构地区：[1]中南大学信息科学与工程学院,长沙410083 [2]湖南铁道职业技术学院,株洲412001

出　　处：《计算机与数字工程》2017年第9期1774-1778,1852,共6页Computer & Digital Engineering

基　　金：2015年度湖南省教育厅科学研究资助项目"四旋翼飞行器的建模及控制策略的研究"(编号:15C0903);2015年度国家自然科学基金项目"抗参数横揺的欠驱动船舶航迹跟踪控制研究"(编号:61403045)资助

摘　　要：由于三容水箱是一个具有多变量、非线性和耦合特征的系统,难以建立精确的数学模型。为此,提出了基于RBF-ARX模型的预测控制策略。RBF-ARX模型是神经网络RBF(Radial Basis Function)和线性自回归ARX(Auto-Regres-sive e Xogenous)模型兼容组合的模型,适用于非线性系统的建模。预测控制算法基于此模型预测对象输出变化,并通过闭环控制,使误差最小。该设计首先构建三容水箱系统的RBF-ARX模型,并辨识、优化模型参数。基于此模型设计了系统预测控制器,最后通过实时控制证实了该方法的可行性和有效性。The three-tank water system which is muhivariable, nonlinear and coupled with each other makes it difficult to es- tablish accurate mathematical model, for the problem, the design of predictive control algorithm based on RBF-ARX model are dis- cussed. This modeling method is a combination model based on the theory of neural network RBF （Radial Basis Function） and linear autoregressive ARX （Auto-Regressive eXogenous） model, it is used to construct the mode] of nonlinear system. Predictive control algorithm predicts system＇s output, and makes the error minimum through closed-loop control. The structure of the three-tank water system＇s RBF-ARX model is built firstly, then the model＇s parameters are identified and optimized. Predictive control algorithm is taken to control the three-tank water system based on this model, the real-time control verify the feasibility and validity of the method.

关 键 词：三容水箱 RBF-ARX模型 预测控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]