| 一类非线性时滞过程的主动容错控制 |
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| 引用本文： | 王东,周东华,金以慧.一类非线性时滞过程的主动容错控制[J].中国化学工程学报,2004,12(1):60-65. |
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| 作者姓名： | 王东 周东华 金以慧 |
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| 作者单位： | DepartmentofAutomation,TsinghuaUniversity,Beijing100084,China |
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| 基金项目： | 国家自然科学基金，国家高技术研究发展计划(863计划)，Research Fund for the Doctoral Program of Higher Education，国家重点基础研究发展计划(973计划) |
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| 摘 要： | Based on a nonlinear state predictor (NSP) and a strong tracking filter (STF), a sensor fault tolerant generic model control (FTGMC) approach for a class of nonlinear time-delay processes is proposed. First, the NSP is introduced, and it is used to extend the conventional generic model control (GMC) to nonlinear processes with large input time-delay. Then the STF is adopted to estimate process states and sensor biaz, the estimated sensor bias is used to drive a fault detection logic. When a sensor fault is detected, the estimated process states by the STF will be used to construct the process output to form a “soft sensor“, which is then used by the NSP (instead of the real outputs) to provide state predictors. These procedures constitute an active fault tolerant control scheme. Finally, simulation results of a three-tank-system demonstrate the effectiveness of the proposed approach.
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| 关 键 词： | 容错控制 非线性延时 强跟踪滤波器 非线性状况预报器 |
| 修稿时间： | |
Active Fault Tolerant Control of a Class of Nonlinear Time-Delay Processes |
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| WANG Dong,ZHOU Donghua,JIN Yihui.Active Fault Tolerant Control of a Class of Nonlinear Time-Delay Processes[J].Chinese Journal of Chemical Engineering,2004,12(1):60-65. |
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| Authors: | WANG Dong ZHOU Donghua JIN Yihui |
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| Affiliation: | Department of Automation, Tsinghua University, Beijing 100084, China;Department of Automation, Tsinghua University, Beijing 100084, China;Department of Automation, Tsinghua University, Beijing 100084, China |
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| Abstract: | Based on a nonlinear state predictor (NSP) and a strong tracking filter (STF), a sensor fault tolerant generic model control (FTGMC) approach for a class of nonlinear time-delay processes is proposed. First, the NSP is introduced, and it is used to extend the conventional generic model control (GMC) to nonlinear processes with large input time-delay. Then the STF is adopted to estimate process states and sensor bias, the estimated sensor bias is used to drive a fault detection logic. When a sensor fault is detected, the estimated process states by the STF will be used to construct the process output to form a "soft sensor", which is then used by the NSP (instead of the real outputs) to provide state predictors. These procedures constitute an active fault tolerant control scheme. Finally, simulation results of a three-tank-system demonstrate the effectiveness of the proposed approach. |
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| Keywords: | fault tolerant control time-delay nonlinear processes nonlinear state predictor strong tracking filter |
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