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시간지연을 고려한 간접 되먹임 구조 칼만필터의 수치안정성 향상 기법
남성호,성창기,김태원,Nam, Seongho,Sung, Changky,Kim, Taewon 한국군사과학기술학회 2017 한국군사과학기술학회지 Vol.20 No.1
Most of weapon systems use aided navigation system which integrates inertial navigation and aiding sensors to compensate the INS errors increasing with the passage of time. Various aid sensors can be applied such as Global Navigation Satellite System (GNSS), radar, barometer, etc., but there might exist time delay caused by signal processing or transferring aid information. This time delay leads out-of-sequence measurements (OOSM) systems. Previously, optimal and suboptimal measurment update method for OOSM systems, where the time delay length are known, are proposed. However, previous algorithm does not guarantee the positive definite property of covariance matrix. In order to improve numerical stability for aided navigation using delayed-measurement, this paper proposes a new measurement covariance update algorithm be similar to Joseph-form in Kalman filter. Futhermore, we propose how to implement it in indirect feedback Kalman filter structure, which is commonly used in aided navigation systems, for time-delayed measurement systems. Simulation and vehicle test results show effectiveness of a proposed algorithm.
정보이론기반 지형 험준도 및 정보이득을 이용한 지형대조항법 성능 향상 기법
남성호,Nam, Seongho 한국군사과학기술학회 2017 한국군사과학기술학회지 Vol.20 No.3
Terrain referenced navigation(TRN) system is an attractive method for obtaining position based on terrain measurements and a terrain map. We focus on TRN systems based on the point mass filter(PMF) which is one of the recursive Bayesian method. In this paper, we propose two kinds of performance index for Bayesian filter. The proposed indices are based on entropy and mutual information from information theory. The first index measures roughness of terrain based on entropy of likelihood. The second index named by information gain, which is the mutual information between priori and posteriori distribution, is a quantity of information gained by updating measurement at each step. The proposed two indices are used to determine whether the solution from TRN is adequate for TRN/INS integration or not, and this scheme gives the performance improvement. Simulation result shows that the proposed indices are meaningful and the proposed algorithm performs better than normal TRN algorithm.
금형 품질 정보 지식화를 위한 품질 영향 인자와 파라미터 관계 구조 연구
남성호(Sung-Ho Nam),정홍진(Hong-Jin Jeong),김보현(Bo-Hyun Kim),신정훈(Jeong-Hun Jeong) (사)한국CDE학회 2012 한국 CAD/CAM 학회 학술발표회 논문집 Vol.2012 No.2
The problems related with product of automobile parts having some quality issues of different companies that are facing in during product design & product development process. Auto Parts Companies are wishing to introduce to apply quality standard such as APQP (advanced production quality planning) which is an information system in order to eliminate the quality issues during the Product design and product development process. But in quality management system it will not focus completely on FMEA (failure mode effect analysis), Control Plan, Flow Chart and PPAP (product part approval process) such as the weakness of quality management system in the documenting process. Quality management techniques should document through correct information. However due to the difficulty of information loss and information these are nominally managed. Recently, a study about technique & quality information knowledge management has been managed for alternative of these problems. Especially a study about systematic of injection molding conditions in the field of injection mold has been actively managed. However, the study about the management of injection molding conditions are based on collaborative product design & development that extract data through injection molding conditions extract from quality effect where the information is lacking. Therefore, in this paper, we present structure that is systematically managed and consistently gather the information related with mold design & development process. The structure defines a correlation between the quality factors and molding parameters and it is designed with construct based on tree structure of FTA (fault tree analysis) to gather quality information. Additionally, we implemented quality information knowledge management system prototype for the Auto parts Company.