摘要
该文借助MATLAB仿真软件,以DTS200三容水箱系统为对象,设计了基于强跟踪滤波算法的三容水箱液位估计仿真实验平台。考虑三容水箱系统可能存在的参数扰动和未知输入,建立其非线性数学模型,利用强跟踪滤波算法进行液位估计,并将估计结果与著名的扩展卡尔曼滤波算法的结果进行对比,验证了强跟踪滤波算法具有更强的跟踪突变状态的能力。该实验平台有助于自动化专业大学生加深对现代控制理论的理解,提高学生的科研热情。
In this paper, taking DTS200 three-tank system as the object, a simulation platform for the liquid level estimation of three-tank systems based on strong tracking filter(SFT) algorithm is designed by means of MATLAB simulation software. Considering the possible parameter disturbance and unknown input of the three-tank system, the nonlinear mathematical model is established, and the strong tracking filter algorithm is utilized to estimate the liquid level. The estimation result is compared with that of the well-known extended Kalman filter algorithm, which verifies that the strong tracking filter has better ability to track the abrupt state. This experimental platform is helpful for college students with major in automation to deepen the understanding of modern control theory and can improve their enthusiasm for scientific research.
作者
高明
徐洁
盛立
周东华
GAO Ming;XU Jie;SHENG Li;ZHOU Donghua(College of Control Science and Engineering,China University of Petroleum(East China),Qingdao 266580,China;Department of Automation,Tsinghua University,Beijing 100084,China)
出处
《实验技术与管理》
CAS
北大核心
2021年第4期156-160,共5页
Experimental Technology and Management
基金
山东省本科教学改革面上项目(M2020205)
山东省研究生教学改革项目(SDYJG19028)
中国石油大学本科教学改革项目(ZY-202027)。
关键词
三容水箱系统
强跟踪滤波
状态估计
实验平台
three-tank systems
strong tracking filter
state estimation
experimental platform