• Title/Summary/Keyword: Flight control

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A Study on Aircraft Sensitivity Analysis for Supersonic Air-Data Error at Low Altitude (공기정보 오차에 의한 저고도 초음속 영역에서의 민감도 해석에 관한 연구)

  • Kim, Chong-Sup;Hwang, Byung-Moon;Kim, Seong-Youl;Kim, Seong-Jun
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.33 no.11
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    • pp.80-87
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    • 2005
  • T-50 supersonic jet trainer aircraft using digital flight-by-wire flight control system receives aircraft flight conditions such as altitude, VCAS(Calibrated Airspeed) and Angle of Attack from IMFP(Integrated Multi-Function Probe). IMFP sensors information have triplex structure using three IMFP sensors. Air-data selection logic is mid-value selection in three information from three IMFP sensors in order to have more reliability. From supersonic flight test at high altitude, air-data information is dropped simultaneously because of supersonic shock wave effect. This error information may affect to aircraft stability and safety in supersonic area at low altitude. This paper propose that sensitivity analysis and HQS(Handling Quality Simulator) pilot simulation in order to analyze flight stability and controllability in supersonic area at low altitude when these information is applied to flight control law.

Design of a Track Guidance Algorithm for Formation Flight of UAVs (무인기의 편대비행을 위한 트랙유도 알고리즘 설계)

  • Lee, Dongwoo;Lee, Jaehyun;Kim, Seungkeun;Suk, Jinyoung
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.12
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    • pp.1217-1224
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    • 2014
  • This paper presents a modified track guidance algorithm for formation flight of multiple UAVs. The suggested guidance algorithm is the spatial version of the first order dynamic characteristics for a time-dependent system so the algorithm is able to generate a path without overshoot to track the desired line. A crucial design parameter is a spatial constant that controls the shape of the convergence to an assigned flight path similarly to a time constant. Reference flight trajectories are designed based on a two-dimensional vehicle model, and the performance of the proposed guidance law is verified by numerical simulation using rigid body UAV dynamics with MATLAB/Simulink Aerosim Blockset.

ADAPT: A Predictive Cognitive Model of Piloting Skill (DAPT: 조종 기술의 예측적 인지 모델)

  • Sohn, Young-Woo;Kim, Kyung-Tae;Chang, Su-Wong;Kim, Do-Hyung
    • Proceedings of the Korean Society for Cognitive Science Conference
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    • 2005.05a
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    • pp.9-13
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    • 2005
  • A comprehension-based computational model of pilot action planning called ADAPT is presented to model pilot performance in a flight simulation context. Individual pilots were asked to execute a series of flight maneuvers using a flight simulator, and their eye-scanning, control movements, and flight performance were recorded in a time-synched database. Computational models of each of the 25 individual pilots were constructed, and the individual models simulated execution of the same flight maneuvers performed by human pilots. The time-synched eye-scanning, control movements, and flight performance of individual pilots and their respective models were compared to test ADAPT's predictive validity.

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A UAV Flight Control Algorithm for Improving Flight Safety (무인항공기 비행제어컴퓨터 알고리즘 개발을 통한 비행안전성 향상)

  • Park, Suncheol;Jung, Sungrok;Chung, Myungjin
    • Journal of KIISE
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    • v.44 no.6
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    • pp.559-565
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    • 2017
  • A UAV(unmanned aerial vehicle) requires higher reliability for external effects such as electromagnetic interference because a UAV is operated by pre-designed programs that are not under human control. The design of a small UAV with a complete resistance against the external effects, however, is difficult because of its weight and size limitation. In this circumstance, a conventional small UAV dropped to the ground when an external effect caused the rebooting of the flight-control computer(FCC); therefore, this paper presents a novel algorithm for the improvement of the flight safety of a small UAV. The proposed algorithm consists of three steps. The first step comprises the calibration of the navigation equipment and validation of the calibrated data. The second step is the storage of the calibration data from the UAV take-off. The third step is the restoration of the calibration data when the UAV is in flight and FCC has been rebooted. The experiment results show that the flight-control system can be safely operated upon the rebooting of the FCC.

Design of CCV adaptive flight control system under microburst type disturbances

  • Uchikado, Shigeru;Kanai, Kimio;Osa, Yasuhiro;Tanaka, Kanya
    • 제어로봇시스템학회:학술대회논문집
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    • 1994.10a
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    • pp.271-276
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    • 1994
  • In this paper we deal with a design of CCV adaptive flight control system having adaptive observer under the mircroburst circumstances. First, based on the observerbility indices of the controlled system, which is a general multi-variable one, the adaptive observer is constructed, and the unknown interactor matrix can be estimated by using the identified parameters. Next, CCV adaptive flight control law is calculated based upon the estimated ones. Finally, the proposed CCV adaptive flight controller is applied to STOL flying boat and numerical simulations under the microburst circumstances can be show to justify the proposed scheme.

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A Design of Fuzzy Logic Controllers for High-Angle-of-Attack Flight Control of Aircraft Using Adaptive Evolutionary Algorithms (적응진화 알고리즘을 이용한 항공기의 고공격각 비행 제어를 위한 퍼지 제어기 설계)

  • Won, Taep-Hyun;Hwang, Gi-Hyun;Park, June-Ho;Lee, Man-Hyung
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.11
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    • pp.995-1002
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    • 2000
  • In this paper, fuzzy logic controllers(FLC) are designed for control of flight. For tuning FLC, we used adaptive evolutionary algorithms(AEA) which uses a genetic algorithm(GA) and an evolution strategy (ES) in an adaptive manner in order to take merits of two different evolutionary computations. We used AEA to search for optimal settings of the membership functions shape and gains of the inputs and outputs of FLC. Finally, the proposed controller is applied to the high-angle-of-attack flight system for a supermaneuverable version of the f-18 aircraft and compares with other methods.

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Design and Flight Tests of a Drone for Delivery Service (무인 배송용 드론 설계 및 시험비행)

  • Kim, Seong-Hwan;Lee, Doo-Ki;Cheon, Jae-Hee;Kim, Seung-Jae;Yu, Kee-Ho
    • Journal of Institute of Control, Robotics and Systems
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    • v.22 no.3
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    • pp.204-209
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    • 2016
  • In this paper, an unmanned delivery service using drone was proposed and verified the feasibility. The multicopter has GPS for autopilot and a camera for remote control by human operator. The gripper for manipulation of delivery object was designed and evaluated. The multicopter flies to a given position automatically based on GPS, and approaches to the prepared delivery desk by remote control of human operator using the received image from the multicopter. GPS sensor verification and experimental PID tuning were performed to ensure the flight stability. The flight tests were carried out to verify the feasibility of delivery service.

Study on Korean In-Flight Simulator Aircraft (한국형 공중 시뮬레이터 항공기 연구)

  • Ko, Joon-Soo;Ahn, Jong-Min;Park, Sung-Su
    • Journal of the Korea Institute of Military Science and Technology
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    • v.14 no.6
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    • pp.1026-1030
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    • 2011
  • This paper presented here contains development of variable stability system(VSS) control laws for the KIFS (Korean In-Flight Simulator) aircraft to simulate the dynamics of F-16 aircraft. Development of VSS Control law for pitch rate, roll rate, yaw rate simulation for three specified flight conditions using Model Following Technique with rate feedback autopilot for stability provision. The direct lift force controller was also added to the developed VSS control law to simulate the pitch rate and normal g-load simultaneously. The simulation results show high accuracy of F-16 aircraft's pitch, roll, yaw rate and g-load simulation.

Adaptive Neural Dynamic Surface Control via $H_{\infty}$ Approach for Nonlinear Flight System (비선형 비행 시스템을 위한 $H_{\infty}$ 접근법 기반 적응 신경망 동적 표면 제어)

  • Yoo, Sung-Jin;Choi, Yoon-Ho;Park, Jin-Bae
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.1728-1729
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    • 2007
  • This paper presents an adaptive neural dynamic surface control (DSC) approach with $H_{\infty}$ tracking performance for a full dynamics of a nonlinear flight system. It is assumed in this paper that model uncertainties such as structured and unstrutured uncertainties and external disturbances influence the nonlinear aircraft model. In our control system, self recurrent wavelet neural networks (SRWNNs) are used to compensate model uncertainties of the nonlinear flight system, and an adaptive DSC technique is extended for disturbance attenuation of the nonlinear flight system. From Lyapunov stability theorem, it is shown that $H_{\infty}$ performance from external disturbances can be obtained. Finally, we perform the simulation for the nonlinear six-degree-of-freedom F-16 aircraft model to confirm the effectiveness of the proposed control system.

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