A New Fault Tolerant Nonlinear Model Predictive Controller Incorporating an UKF-Based Centralized Measurement Fusion Scheme
- سال انتشار: 1390
- محل انتشار: Iranian Journal of Chemistry and Chemical Engineering، دوره: 30، شماره: 4
- کد COI اختصاصی: JR_IJCCE-30-4_014
- زبان مقاله: انگلیسی
- تعداد مشاهده: 87
نویسندگان
Department of Automation and Instrumentation, Petroleum University of Technology, Tehran, I.R. IRAN
Department of Automation and Instrumentation, Petroleum University of Technology, Tehran, I.R. IRAN
چکیده
A new Fault Tolerant Controller (FTC) has been presented in this research by integrating a Fault Detection and Diagnosis (FDD) mechanism in a nonlinear model predictive controller framework. The proposed FDD utilizes a Multi-Sensor Data Fusion (MSDF) methodology to enhance its reliability and estimation accuracy. An augmented state-vector model is developed to incorporate the occurred sensor faults and then a UKF algorithm is utilized to estimate the augmented state vector including system states along with the fault terms using a centralized measurement fusion scheme. The designed FDD architecture is then merged with a conventional NMPC to form a Fault-Tolerant Control System (FTCS). A series of sensor fault senarios is conducted on a Continuous Stirred Tank Reactor (CSTR) to comparatively illustrate the superiority of the proposed FTCS in eliminating the miserable impacts of the induced sensor faults against a conventional NMPC.کلیدواژه ها
Tolerant Control System (FTCS), Fault Nonlinear Model Predictive Controller (NMPC), Fault Detection and Diagnosis (FDD), Unscented Kalman Filter (UKF), Multi Sensor Data Fusion (MSDF)اطلاعات بیشتر در مورد COI
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