대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2001년도 하계학술대회 논문집 D
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- Pages.1958-1960
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- 2001
TS 퍼지 모델 동정을 이용한 표적 추적 시스템 설계
The Design of Target Tracking System Using the Identification of TS Fuzzy Model
- Lee, Bum-Jik (Dept. of Electrical & Electronic Engineering, Yonsei Univ.) ;
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Joo, Young-Hoon
(School of Electronic and Information Engineering, Kunsan Univ.) ;
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Park, Jin-Bae
(Dept. of Electrical & Electronic Engineering, Yonsei Univ.)
- 발행 : 2001.07.18
초록
In this paper, we propose the design methodology of target tracking system using the identification of TS fuzzy model based on genetic algorithm(GA) and RLS algorithm. In general, the objective of target tracking is to estimate the future trajectory of the target based on the past position of the target obtained from the sensor. In the conventional and mathematical nonlinear filtering method such as extended Kalman filter(EKF), the performance of the system may be deteriorated in highly nonlinear situation. In this paper, to resolve these problems of nonlinear filtering technique, the error of EKF by nonlinearity is compensated by identifying TS fuzzy model. In the proposed method, after composing training datum from the parameters of EKF, by identifying the premise and consequent parameters and the rule numbers of TS fuzzy model using GA, and by tuning finely the consequent parameters of TS fuzzy model using recursive least square(RLS) algorithm, the error of EKF is compensated. Finally, the proposed method is applied to three dimensional tracking problem, and the simulation results shows that the tracking performance is improved by the proposed method.
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