Active Fault-Tolerant Control of Nonlinear Batch Processes with Sensor Faults

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• 作者：Youqing Wang ; Yi Yang ; Donghua Zhou ; Furong Gao
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2007
• 出版时间：December 19, 2007
• 年：2007
• 卷：46
• 期：26
• 页码：9158 - 9169
• 全文大小：453K
• 年卷期：v.46,no.26(December 19, 2007)
• ISSN：1520-5045

文摘

In this paper, an active fault-tolerant control scheme is developed for nonlinear batch processes with sensorfaults. This scheme contains three modules: a fault detection and isolation (FDI) module, an output estimationmodule, and a controller. A batchwise neural-network-based FDI and a batch-wise neural-network-based softsensor are proposed as the first and second modules, respectively, together with an iterative learning controller.In the nominal case, the measured output is used in the iterative learning control. After a fault is detected andisolated, the estimation produced by the soft sensor is used. The FDI and estimation modules are not model-based; therefore, most types of sensor faults can be addressed. To illustrate the effectiveness and practicabilityof this method, two examples are given: the first one is simulation study on a three-tank system, and thesecond one is an experimental application on the injection molding process.