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미지입력관측기와 파라미터추정에 의한 견실한 고장검출 및 진단에 관한 연구
박승엽 國立 昌原大學校 産業技術硏究所 1995 産技硏論文集 Vol.9 No.-
This paper is concerned with the design of robust FDI(fault detection and isolation) based on UIO(unknown input observer) and adaptive estimator in order to diagnose process fault sensor fault. The major limitation of FDI approach based UIO design is that in some cases come strong conditions are to be satisfied in order for the UIO is exist. In this paper, the proposed FDI approach includes the case that does not match the necessary condition to exist UIO. It is accomplished by using the appropriate detection decision logic and process static model. In order to show the performance of the performance of the proposed FDI approach, computer simulation is performed on DC motor model. The simulation results show that the proposed FDI approach is capable of diagnosing the process fault and sensor fault.
박승엽 國立 昌原大學校 産業技術硏究所 1991 産技硏論文集 Vol.5 No.-
This paper is concerned with the design of a PFDS (process fault diagnosis scheme) based on parameter identification if full information about the state variables of system can not be obtained. An important problem is that the entire states of the system are required to be compared with the observer states to produce the state errors, for the entire parameter identification. However, since the number of measured outputs of system are less than the number of states, the number of output errors are less than the number of state errors. One way to uniquely identify all the possible parameter variation in the system is to introduce a disturbance reject observer to estimate the state error. Therefore the proposed PFDS consists of a observer and a parameter identifier. Computer simulation for a DC motor with a shunt field circuit show the effectiveness of the proposed PFDS.
박승엽 國立 昌原大學校 産業技術硏究所 1989 産技硏論文集 Vol.3 No.-
Parameter identification and state estimation is an important scientific and practical subject. Some works have been recently done in the area of observer theory and adaptive estimation theory for linear systems. The main part of such parameter identifier and state estimator is an observer, where the error between the measured output and the estimated on is used for estimation. An important problem is that the entire states of the system are required to be compared with the observer states to produce the state errors, for the entire parameter identification. However, since the number of measured outputs of system are less than the number of states, the number of output errors are less than the number of state errors. One way to uniquely identify all the possible parameter variation in the system is to introduce another observer to estimate the state error. Therefore the proposed adaptive observer consists of double observer and parameter identifier. Computer simulations for a DC motor with a shunt field circuit show the effectiveness of the proposed adaptive observer.
박승엽 國立 昌原大學校 産業技術硏究所 1990 産技硏論文集 Vol.4 No.-
This paper is concerned with the design of a PFDS(process fault diagnosis scheme) based on parameter identification if full information about the state variables of system can not be obtained. An important problem is that the entire states of the system are required to be compared with the observer states to produce the state errors. for the entire parameter identification. However, since the number of measured number of state errors. One way to uniquely identify all the possible parameter variation in the system is to introduce another observer to estimate the state error. Therefore the proposed PFDS consists of double observer and parameter identifier. Computer simulation for a DC motor with a shunt field circuit show the effectiveness of the proposed PFDS