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DOI:
计算机系统应用英文版:2016,25(3):262-266
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基于积分时滞系统史密斯预估器的研究
(江南大学 物联网工程学院, 无锡 214122)
Improved Smith-Predictors Based on IPDT Systems
(School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China)
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Received:June 25, 2015    Revised:September 06, 2015
中文摘要: 在积分时滞系统(IPDT)中,传统的史密斯预估器不能很好的消除稳态误差,而且在模型失配时易产生欠补偿问题.为此,文中提出了改进型的史密斯预估器,首先利用反馈控制器,将实际过程与模型过程的误差反馈到控制信号端.其次,在控制对象端加上串联控制器和反馈补偿控制器,分别采用不同的方法进行设计,以消除扰动对系统的影响. MATLAB仿真结果显示,系统具有较好的输出响应,能够有效消除扰动误差.
Abstract:Traditional Smith-Predictor fails to provide a null steady-state error in the presence of a constant load disturbance if the process exhibits an integral dynamics(IPDT), and under compensation when the model mismatches. The modified Smith-Predictor is proposed for it. Firstly, the feedback controller can transmit the error which comes from the difference between actual process and the model process to the control signal. Secondly, series controller and Feedback recourse controller are added to the input of plant, and the controllers are using different methods to design. MATLAB simulation shows that the system has better output response, and also eliminates the steady-state error.
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基金项目:高等学校学科创新资助(B12018)
引用文本:
丁晓迪,崔宝同.基于积分时滞系统史密斯预估器的研究.计算机系统应用,2016,25(3):262-266
DING Xiao-Di,CUI Bao-Tong.Improved Smith-Predictors Based on IPDT Systems.COMPUTER SYSTEMS APPLICATIONS,2016,25(3):262-266