参数不确定史密斯预估器的自适应控制  

Adaptive control for Smith predictor with uncertain parameters

作　　者：丁晓迪[1] 崔宝同[1] DING Xiao-di CUI Bao-tong(School of Internet of Things Engineering, Jiangnan University, Wuxi 214000, China)

机构地区：[1]江南大学物联网工程学院,江苏无锡214000

出　　处：《计算机工程与设计》2016年第11期3007-3011,共5页Computer Engineering and Design

基　　金：高等学校学科创新基金项目(B12018)

摘　　要：研究参数不确定史密斯预估器的自适应控制问题。不确定性参数引起系统的模型失配,控制对象无法追踪原始的参考模型,采用模型参考自适应控制算法对控制对象进行调节;增益和时间常数的不确定性可通过模型失配时的控制算法进行补偿,结构扰动的不确定性采用合适的自适应率进行自调节;选取李雅普诺夫函数,求出自适应律。仿真结果验证了方法的有效性。The adaptive control for Smith predictor with uncertain parameters was studied.Since model mismatch is caused by uncertain parameters,the plant can no longer track the original reference model.Traditional Smith predictor combined with the algorithm of model reference adaptive control（MRAC）was adopted to regulate the plant.The uncertainty of gain and time constant were adjusted using the control algorithm,the uncertain structural perturbations were regulated through choosing better adaptive law.The adaptive law was obtained using Lyapunov function.The effectiveness of the proposed method was verified by simulation using MATLAB.

关 键 词：参数不确定 史密斯预估器 模型失配 自适应控制 李雅普诺夫函数 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]