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| 基于自适应模型非线性系统容错控制的研究 | |
| 引用本文： | 薄翠梅,王执铨,陆爱晶.基于自适应模型非线性系统容错控制的研究[J].系统仿真学报,2007,19(22):5103-5107,5111. |
| 作者姓名： | 薄翠梅 王执铨 陆爱晶 |
| 作者单位： | 1. 南京理工大学自动化学院,南京,210094;南京工业大学自动化学院,南京,210009 2. 南京理工大学自动化学院,南京,210094 3. 南京工业大学自动化学院,南京,210009 |
| 基金项目： | 国家自然科学基金;江苏省自然科学基金;江苏省高校自然科学基金 |
| 摘 要： | 针对未知的多变量非线性动态系统,提出了一种新型的自适应故障容错控制方法。该方法首先通过设计一个自适应RBF神经网络模型建立未知过程的动态模型,并利用扩展卡尔曼滤波算法在线调节RBF网络权值学习系统的时变参数和故障动态,然后设计基于此模型的自适应迭代逆模控制算法实现相应的容错控制策略。将容错方法成功应用到一个连续的多变量三水箱过程。 |
| 关 键 词： | 主动容错控制 自适应RBF网络模型 扩展的卡尔曼滤波算法 迭代逆模控制算法 三水箱过程 |
| 文章编号： | 1004-731X（2007）22-5103-05 |
| 收稿时间： | 2006-09-11 |
| 修稿时间： | 2006-09-112006-12-28 |
Adaptive Model-based Active Tolerant Control for Nonlinear Process |
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| BO Cui-mei,WANG Zhi-quan,LU Ai-jing.Adaptive Model-based Active Tolerant Control for Nonlinear Process[J].Journal of System Simulation,2007,19(22):5103-5107,5111. | |
| Authors: | BO Cui-mei WANG Zhi-quan LU Ai-jing |
| Affiliation: | 1 .Department of Automation, Nanjing University of Sciences and Technology, Nanjing 210094, China; 2.Department of Automation, Nanjing University of Technology, Nanjing 210009, China |
| Abstract: | A new Fault Tolerant Control (FTC) scheme based on the inversion of adaptive RBF neural network model for unknown multi-variable dynamic systems was proposed. An adaptive RBF model was designed to build process model and was adapted on-line by using Extend Kalman Filter (EKF) technique to learn fault dynamics caused by component faults. Then, an inversion of the RBF model was used to the adaptive controller to maintain the system performances after fault occurrence. The proposed scheme was applied to a multiple variable three-tank process to demonstrate the performance of the scheme. |
| Keywords: | active tolerant control adaptive RBF neural models extend kalman filter inverse model controller three-tank system |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
