| 基于粒子群优化的神经网络容错控制算法 |
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| 引用本文： | 周立群,张晓琴,李书臣,苏成利,翟春艳.基于粒子群优化的神经网络容错控制算法[J].石油化工高等学校学报,2011,24(3):95-98. |
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| 作者姓名： | 周立群 张晓琴 李书臣 苏成利 翟春艳 |
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| 作者单位： | 1. 辽宁石油化工大学信息与控制工程学院,辽宁抚顺,113001
2. 沈阳新松机器人自动化股份有限公司,辽宁沈阳,110168 |
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| 基金项目： | 辽宁省高校创新团队支持计划项目(2009T062)。 |
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| 摘 要： | 针对一类非线性系统的传感器故障，将故障诊断与容错控制方法相结合，提出了一种容错控制方法。用BP网络建立传感器故障模型，并用粒子群算法来训练BP网络的参数，在线估计系统的状态和故障参数。然后将故障参数与修正的Bayes分类算法相结合，对传感器故障在线检测、分离和估计，通过补偿算法，实现容错控制。对连续搅拌釜式反应器（CSTR）的仿真结果表明，该方法收敛性好，对传感器故障具有很强的容错能力。
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| 关 键 词： | 故障诊断 容错控制 BP神经网络 粒子群优化算法 连续搅拌釜式反应器 |
Fault-Tolerant Control Algorithm of Neural Network Based on Particle Swarm Optimization |
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| ZHOU Li-qun,ZHANG Xiao-qin,LI Shu-chen,SU Cheng-li,ZHAI Chun-yan.Fault-Tolerant Control Algorithm of Neural Network Based on Particle Swarm Optimization[J].Journal of Petrochemical Universities,2011,24(3):95-98. |
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| Authors: | ZHOU Li-qun ZHANG Xiao-qin LI Shu-chen SU Cheng-li ZHAI Chun-yan |
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| Affiliation: | 1(1.School of Information and Control Engineering,Liaoning Shihua University,Fushun Liaoning 113001,P.R.China;2.SIASUN Robot & Automation Co.,Ltd.,Shenyang Liaoning 110168,P.R.China) |
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| Abstract: | A fault-tolerant control method combining fault diagnosis and fault-tolerant control was proposed for sensor faults of a class of nonlinear system.A BP neural network based on particle swarm optimization algorithm was used to estimate system states and fault parameters of the constructed model for sensor faults.The estimated fault parameters were processed by the modified Bayes classification algorithm to achieve sensor faults detection,separation and estimation online,and fault-tolerant control was realized by compensation algorithm.Simulation results for continuous stirred tank reactor(CSTR) show good convergence of the approach and strong fault-tolerant ability for sensor faults. |
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| Keywords: | Fault diagnosis Fault-tolerant control BP neural network PSO CSTR |
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