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基于混合逻辑动态的过程控制实验装置故障检测

Fault Detection of Experimental Unit for Process Control Based on Mixed Logical Dynamical
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摘要 通过将故障表示为二进制变量建立混合逻辑动态故障模型,利用滚动时域估计(MHE)方法将故障检测问题转化为混杂预测控制问题。将基于MHE的故障检测方法用于三容水箱过程实验装置进行故障检测仿真研究,建立了实验装置在执行器部件故障下的混合逻辑动态(MLD)模型,研究了利用MHE对实验装置进行状态估计和故障检测的方法。对其中产生的混合整数二次规划问题则利用改进的离散微粒群(DPSO)算法进行求解。控制结果和故障检测结果表明了本文算法的有效性,更有助于对预测控制算法和故障检测技术的理解与应用。 In this paper, faults are modeled as binary variables, and a mixed logical dynamical （MLD） fault model is developed. Fault detection problem is then converted to a hybrid predictive control problem by using the moving horizon estimation（MHE） method. The MHE algorithm is applied to a three tank experimental unit. The MLD model with actuator faults is developed, and state estimation and faults detection are investigated. The mixed integer quadratic programming problem is solved by using an improved discrete particle swarm optimization （DPSO） algorithm. The control results and fault detection results show effectiveness of the MHE algorithm. It can help understand the predictive control algorithm and fault detection.
作者 王宇红 刘华怡 张娜娜
机构地区 中国石油大学信息与控制工程学院
出处 《上海电机学院学报》 2011年第5期296-301,310,共7页 Journal of Shanghai Dianji University
基金 教育部科学技术研究重点项目资助(108160)
关键词 粒子群算法 预测控制 混合逻辑动态 故障检测 滚动时域估计 particle swarm optimization predictive control mixed logical dynamical（MLD） fault detection moving horizon estimation（MHE）
分类号 TP206.1 [自动化与计算机技术—检测技术与自动化装置]
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参考文献15

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二级参考文献44

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共引文献31

上海电机学院学报
2011年 第5期

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