• 제목/요약/키워드: Integrated Guidance and Control (IGC)

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입사각제어를 위한 통합유도조종법칙 (Integrated Guidance and Control Law with Impact Angle Constraint)

  • 윤중섭;박우성;유창경
    • 한국항공우주학회지
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    • 제39권6호
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    • pp.505-516
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    • 2011
  • 통합유도조종(IGC, Integrated Guidance and Control)은 기존의 분리형 유도조종루프의 성능한계를 극복하기 위해 제안된 개념이다. 본 논문에서는 입사각제어가 가능한 새로운 형태의 IGC 기법을 제안하였다. 제안된 IGC는 자동조종성능과 유도성능을 동시에 얻기 위해 받음각, 피치각속도, 피치각, 시선각을 상태변수로 고려한다. 제안된 IGC의 제어특성을 고찰하기 위하여 비선형 상태방정식에 대한 가제어성 해석 및 평형점 해석을 수행 하였다. IGC 모델에 대한 제어기법으로는 LQR(Linear Quadratic Regulator)을 사용하였으며 LQR을 IGC에 적용하기 위한 방법을 상세하게 설명하였다. 수치 시뮬레이션을 통해 분리형 유도조종루프와 IGC의 성능을 비교하였다. 성능 비교 결과 IGC는 급격한 기동이 필요한 유도기하에 대하여 분리형 유도조종루프에 비해 우수한 유도성능을 보임을 확인하였다.

Integrated Design of Rotary UAV Guidance and Control Systems Utilizing Sliding Mode Control Technique

  • Hong, You-Kyung;Kim, You-Dan
    • International Journal of Aeronautical and Space Sciences
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    • 제13권1호
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    • pp.90-98
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    • 2012
  • In this paper, the Integrated Guidance and Control (IGC) law is proposed for the Rotary Unmanned Aerial Vehicle (RUAV). The objective of the IGC law is to consider the nonlinear dynamic characteristics of the RUAV and to design a guidance law which takes into consideration the nonlinear relationship between kinematics and dynamics. In order to control the RUAV system, sliding mode control scheme is adopted. As the RUAV is an under-actuated system, a slack variable approach is used to generate the available control inputs. Through the Lyapunov stability theorem, the stability of the proposed IGC law is proved. In order to verify the performance of the IGC law, numerical simulations are performed for waypoint tracking missions.

Integrated Guidance and Control Design for the Near Space Interceptor

  • WANG, Fei;LIU, Gang;LIANG, Xiao-Geng
    • International Journal of Aeronautical and Space Sciences
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    • 제16권2호
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    • pp.278-294
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    • 2015
  • Considering the guidance and control problem of the near space interceptor (NSI) during the terminal course, this paper proposes a three-channel independent integrated guidance and control (IGC) scheme based on the backstepping sliding mode and finite time disturbance observer (FTDO). Initially, the three-channel independent IGC model is constructed based on the interceptor-target relative motion and nonlinear dynamic model of the interceptor, in which the channel coupling term and external disturbance are regarded as the total disturbances of the corresponding channel. Then, the FTDO is introduced to estimate the target acceleration and control system loop disturbances, and the feed-forward compensation term based on the estimated values is employed to effectively remove the effect of disturbances in finite time. Subsequently, the IGC algorithm based on the backstepping sliding mode is also given to obtain the virtual control moment. Furthermore, a robust least-squares weighted control allocation (RLSWCA) algorithm is employed to distribute the previous virtual control moment among the corresponding aerodynamic fins and reaction jets, which also takes into account the uncertainty in the control effectiveness matrix. Finally, simulation results show that the proposed IGC method can obtain the small miss distance and smooth interceptor trajectories.

무추력 비행체를 대상으로 한 적응 통합 유도제어기 설계 (Integrated Guidance and Control Design Based on Adaptive Neural Network for Unpowered Air Vehicle)

  • 김부민;성덕용;성재민;김병수
    • 제어로봇시스템학회논문지
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    • 제15권1호
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    • pp.15-22
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    • 2009
  • The guidance controller of the conventional aircraft consists of inner-loop (autopilot) and outer-loop (guidance). If the guidance controller can be designed as an integrated guidance and control (IGC), the various advantages exist. The integrated guidance and control formulation can compensate for the effect of autopilot lag. An integrated approach also helps avoid the iterative procedure involved in tuning the guidance and autopilot subsystems, if designed separately. Integrated design is also less susceptible to saturation and stability problems. This paper presents an approach to IGC design for the unpowered air vehicle with the only flaperon using a combination of adaptive output feedback inversion and backstepping techniques. Adaptive neural networks are trained online with available measurements to compensate for unmodeled nonlinearities in the design process.