• 제목/요약/키워드: Receding Horizon Guidance Law

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자동조종장치 지연을 고려한 미사일의 이동구간 유도법칙 (A receding horizon guidance law considering autopilot lag)

  • 한창운
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 A
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    • pp.115-118
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    • 2003
  • In recent years, a receding horizon guidance law based on receding horizon control and optimal control is proposed. A receding horizon guidance law considering autopilot lag and constraints is proposed. The performance of receding horizon guidance law in the presence of target maneuvers is confirmed by simulation results. Through many simulation, a suitable selection of weighting matrix can minimize effect of disturbance, target acceleration. which is meaning of this paper.

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Game Optimal Receding Horizon Guidance Laws and Its Equivalence to Receding Horizon Guidance Laws

  • Park, Jae-Weon;Kim, Ki-Baek
    • Journal of Mechanical Science and Technology
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    • 제16권6호
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    • pp.770-775
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    • 2002
  • In this paper, a game optimal receding horizon guidance law (GRHG) is proposed, which does not use information of the time-to-go and target maneuvers. It is shown that by adjusting design parameters appropriately, the proposed GRHG is identical to the existing receding horizon guidance law (RHG), which can intercept the target by keeping the relative vertical separation less than the given value, within which the warhead of the missile is detonated, after the appropriately selected time in the presence of arbitrary target maneuvers and initial relative vertical separation rates between the target and missile. Through a simulation study, the performance of the GRHG is illustrated and compared with that of the existing optimal guidance law (OGL).

Nonlinear Model Predictive Control for Multiple UAVs Formation Using Passive Sensing

  • Shin, Hyo-Sang;Thak, Min-Jea;Kim, Hyoun-Jin
    • International Journal of Aeronautical and Space Sciences
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    • 제12권1호
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    • pp.16-23
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    • 2011
  • In this paper, nonlinear model predictive control (NMPC) is addressed to develop formation guidance for multiple unmanned aerial vehicles. An NMPC algorithm predicts the behavior of a system over a receding time horizon, and the NMPC generates the optimal control commands for the horizon. The first input command is, then, applied to the system and this procedure repeats at each time step. The input constraint and state constraint for formation flight and inter-collision avoidance are considered in the proposed NMPC framework. The performance of NMPC for formation guidance critically degrades when there exists a communication failure. In order to address this problem, the modified optimal guidance law using only line-of-sight, relative distance, and own motion information is presented. If this information can be measured or estimated, the proposed formation guidance is sustainable with the communication failure. The performance of this approach is validated by numerical simulations.