• 제목/요약/키워드: Robust tracking performance

검색결과 439건 처리시간 0.023초

향상된 표적 추적 기법을 이용한 무유도 대전차 로켓의 조준 오차 제거 방법 (A Method for Eliminating Aiming Error of Unguided Anti-Tank Rocket Using Improved Target Tracking)

  • 송진모;김태완;박태선;도주철;배종수
    • 한국군사과학기술학회지
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    • 제21권1호
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    • pp.47-60
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    • 2018
  • In this paper, we proposed a method for eliminating aiming error of unguided anti-tank rocket using improved target tracking. Since predicted fire is necessary to hit moving targets with unguided rockets, a method was proposed to estimate the position and velocity of target using fire control system. However, such a method has a problem that the hit rate may be lowered due to the aiming error of the shooter. In order to solve this problem, we used an image-based target tracking method to correct error caused by the shooter. We also proposed a robust tracking method based on TLD(Tracking Learning Detection) considering characteristics of the FCS(Fire Control System) devices. To verify the performance of our proposed algorithm, we measured the target velocity using GPS and compared it with our estimation. It is proved that our method is robust to shooter's aiming error.

퍼지 시스템을 이용한 이동로봇의 궤적제어 (Tracking Control for Mobile Robot Based on Fuzzy Systems)

  • 박재훼;이만형
    • 제어로봇시스템학회논문지
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    • 제9권6호
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    • pp.466-472
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    • 2003
  • This paper describes a tracking control for the mobile robot based on fuzzy systems. Since the mobile robot has the nonholonomic constraints, these constraints should be considered to design a tracking controller for the mobile robot. One of the well-known tracking controllers for the mobile robot is the back-stepping controller. The conventional back-stepping controller includes the dynamics and kinematics of the mobile robot. The conventional back-stepping controller is affected by the derived velocity reference by a kinematic controller. To improve the performance of the conventional back-stepping controller, this paper uses the fuzzy systems known as the nonlinear controller. The new velocity reference for the back-stepping controller is derived through the fuzzy inference. Fuzzy rules are selected for gains of the kinematic controller. The produced velocity reference has properly considered the varying reference trajectories. Simulation results show that the proposed controller is more robust than the conventional back-stepping controller.

불확정 시스템에서의 기동검출 및 추적 (Maneuvering detection and tracking in uncertain systems)

  • 유경상;홍일선;권오규
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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    • pp.120-124
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    • 1991
  • In this paper, we consider the maneuvering detection and target tracking problem in uncertain linear discrete-time systems. The maneuvering detection is based on X$^{2}$ test[2,71, where Kalman filters have been utilized so far. The target tracking is performed by the maneuvering input compensation based on a maximum likelihood estimator. KF has been known to diverge when some modelling errors exist and fail to detect the maneuvering and to track the target in uncertain systems. Thus this paper adopt the FIR filter[l], which is known to be robust to modelling errors, for maneuvering detection and target tracking problem. Various computer simulations show the superior performance of the FIR filter in this problem.

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An Adaptive Tracking Controller for Vibration Reduction of Flexible Manipulator

  • Sung Yoon-Gyeoung;Lee Kyu-Tae
    • International Journal of Precision Engineering and Manufacturing
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    • 제7권3호
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    • pp.51-55
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    • 2006
  • An adaptive tracking controller is presented for the vibration reduction of flexible manipulator employed in hazardous area by combining input shaping technique with sliding-mode control. The combined approach appears to be robust in the presence of severe disturbance and unknown parameter which will be estimated by least-square method in real time. In a maneuver strategy, it is found that a hybrid trajectory with a combination of low frequency mode and rigid-body mode results in better performance and is more efficient than the traditional rigid body trajectory alone which many researchers have employed. The feasibility of the adaptive tracking control approach is demonstrated by applying it to the simplified model of robot system. For the applications of the proposed technique to realistic systems, several requirements are discussed such as control stability and large system order resulted from finite element modeling.

기동표적의 위치추적을 위한 적응 퍼지 IMM 알고리즘 (Adaptive Fuzzy IMM Algorithm for Position Tracking of Maneuvering Target)

  • 김현식
    • 한국지능시스템학회논문지
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    • 제17권7호
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    • pp.855-861
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    • 2007
  • 실제 시스템 적용에 있어서, IMM에 기초한 위치 추적 알고리즘은 불확실한 표적 기동에 대해서 강인한 성능, 적은 연산량, 간편한 설계 절차를 필요로 한다. 이 문제들을 해결하기 위해서 잘 정의된 기저 부모델 및 잘 조정된 모델 천이 확률에 기초한 적응 퍼지 IMM 알고리즘을 제안하였다. 시뮬레이션 결과는 제안된 알고리즘이 IMM에 기초한 알고리즘의 실제 적용에서 존재하는 문제점들을 효과적으로 해결할 수 있음을 보여준다.

Mean-Shift Blob Clustering and Tracking for Traffic Monitoring System

  • Choi, Jae-Young;Yang, Young-Kyu
    • 대한원격탐사학회지
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    • 제24권3호
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    • pp.235-243
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    • 2008
  • Object tracking is a common vision task to detect and trace objects between consecutive frames. It is also important for a variety of applications such as surveillance, video based traffic monitoring system, and so on. An efficient moving vehicle clustering and tracking algorithm suitable for traffic monitoring system is proposed in this paper. First, automatic background extraction method is used to get a reliable background as a reference. The moving blob(object) is then separated from the background by mean shift method. Second, the scale invariant feature based method extracts the salient features from the clustered foreground blob. It is robust to change the illumination, scale, and affine shape. The simulation results on various road situations demonstrate good performance achieved by proposed method.

학습제어를 이용한 비최소 위상 비선형 시스템의 점근적 추종 (Asymptotic Output Tracking of Non-minimum Phase Nonlinear Systems through Learning Based Inversion)

  • 김남국
    • 한국기계가공학회지
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    • 제21권8호
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    • pp.32-42
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    • 2022
  • Asymptotic tracking of a non-minimum phase nonlinear system has been a popular topic in control theory and application. In this paper, we propose a new control scheme to achieve asymptotic output tracking in anon-minimum phase nonlinear system for periodic trajectories through an iterative learning control with the stable inversion. The proposed design method is robust to parameter uncertainties and periodic external disturbances since it is based on iterative learning. The performance of the proposed algorithm was demonstrated through the simulation results using a typical non-minimum nonlinear system of an inverted pendulum on a cart.

LMI-based Sliding Mode Speed Tracking Control Design for Surface-mounted Permanent Magnet Synchronous Motors

  • Leu, Viet Quoc;Choi, Han-Ho;Jung, Jin-Woo
    • Journal of Electrical Engineering and Technology
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    • 제7권4호
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    • pp.513-523
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    • 2012
  • For precisely regulating the speed of a permanent magnet synchronous motor system with unknown load torque disturbance and disturbance inputs, an LMI-based sliding mode control scheme is proposed in this paper. After a brief review of the PMSM mathematical model, the sliding mode control law is designed in terms of linear matrix inequalities (LMIs). By adding an extended observer which estimates the unknown load torque, the proposed speed tracking controller can guarantee a good control performance. The stability of the proposed control system is proven through the reachability condition and an approximate method to implement the chattering reduction is also presented. The proposed control algorithm is implemented by using a digital signal processor (DSP) TMS320F28335. The simulation and experimental results verify that the proposed methodology achieves a more robust performance and a faster dynamic response than the conventional linear PI control method in the presence of PMSM parameter uncertainties and unknown external noises.

외란 관측기 기반의 BLDC 전동기 추종제어 (Tracking Control of BLDC Motor Based on Disturbance Observer)

  • 전용호;이신원
    • 한국전자통신학회논문지
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    • 제15권5호
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    • pp.907-912
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    • 2020
  • 전동기의 수학적 모델 오차와 작용하는 외란을 고려하여 제어기를 설계하는 것이 강건하며 정밀한 제어 성능을 좌우한다. 강건하며 정밀한 제어를 위하여 기계적인 부분과 전기적인 부분의 외란 관측기를 설계하여 외란을 추정하고, 공칭 시스템으로 설계된 속도제어기와 전류 제어기에 나누어 적용하였다. 설계된 시스템의 제어 성능을 확인하고자 120 [W]급의 BLDC 전동기에 적용하여, 속도 추종제어의 결과 외란을 극복하고 정상상태 오차가 영으로 수렴하며, 점근적 안정한 결과를 확인할 수 있다.

3축 유압 도로 시뮬레이터의 정량적 피드백 제어 시스템 설계 (Design of Quantitative Feedback Control System for the Three Axes Hydraulic Road Simulator)

  • 김진완;현동길;김영배
    • 대한기계학회논문집A
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    • 제32권3호
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    • pp.280-289
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    • 2008
  • This paper presents design of the quantitative feedback control system of the three axes hydraulic road simulator with respect to the dummy wheel for uncertain multiple input-output(MIMO) feedback systems. This simulator has the uncertain parameters such as fluid compressibility, fluid leakage, electrical servo components and nonlinear mechanical connections. This works have reproduced the random input signal to implement the real road vibration's data in the lab. The replaced $m^2$ MISO equivalent control systems satisfied the design specifications of the original $m^*m$ MIMO control system and developed the mathematical method using quantitative feedback theory based on schauder's fixed point theorem. This control system illustrates a tracking performance of the closed-loop controller with low order transfer function G(s) and pre-filter F(s) having the minimum bandwidth for parameters of uncertain plant. The efficacy of the designed controller is verified through the dynamic simulation with combined hydraulic model and Adams simulator model. The Matlab simulation results to connect with Adams simulator model show that the proposed control technique works well under uncertain hydraulic plant system. The designed control system has satisfied robust performance with stability bounds, tracking bounds and disturbance. The Hydraulic road simulator consists of the specimen, hydraulic pump, servo valve, hydraulic actuator and its control equipments