• 제목/요약/키워드: heading direction control

검색결과 47건 처리시간 0.032초

쿼드로터 헤딩 방향 제어를 위한 지자기 센서 보상 및 센서 융합 (Geomagnetic Sensor Compensation and Sensor Fusion for Quadrotor Heading Direction Control)

  • 이유진;류정래
    • 전자공학회논문지
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    • 제53권7호
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    • pp.95-102
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    • 2016
  • 쿼드로터의 헤딩 방향 감지를 위하여 일반적으로 활용하는 지자기 센서에서는 주변 자기 간섭 및 롤/피치 축 기울기로 인한 오차가 발생한다. 본 논문에서는 쿼드로터 헤딩 방향 제어를 위하여 지자기 센서와 자이로 센서의 측정 결과를 융합하는 방위각 측정 방법을 제안한다. 롤/피치 축 방향 회전으로 인하여 발생하는 지자기 센서의 좌표축 변화를 분석하고, 수평 자세 제어를 목적으로 측정된 롤/피치 축 각도를 활용하여 지자기 센서의 기울기 보상을 적용한다. 또한, 요 축 각도 측정에 상보필터를 활용하여 지자기 센서의 요 축 각도와 자이로스코프 센서의 요 축 방향 각속도 데이터를 융합한다. 제안한 방식을 실험에 적용하고 결과를 제시하여 요 축 각도 측정의 타당성 및 효과를 검증한다.

신발에 IMU 를 장착한 PNS 에서 방위각 편차의 영향 분석 (An Analysis of the Heading Bias Effects in PNS using IMUs Attached to Shoes)

  • 김상식;이연규;박찬식
    • 제어로봇시스템학회논문지
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    • 제19권11호
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    • pp.1053-1059
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    • 2013
  • Heading bias effects in PNS using IMUs attached to shoes are analyzed in this paper. The navigation algorithms of a single foot PNS where one IMU is attached to a foot and dual foot PNSs where two IMUs are attached to each foot are derived. Two navigation algorithms are proposed for the dual foot PNS: 1) the positions from the independent right and left foot PNSs are averaged to provide the final position, 2) the right and left foot PNSs are correlated and it provides positions of each foot. Furthermore, it is proven that two methods are equal. Using the derived navigation algorithms the effect of heading bias caused by a misalignment of the moving direction and IMU is analyzed. The analysis explains the position error of a single foot PNS is diverged while the heading bias is effectively compensated in dual foot PNSs because of the symmetry of heading biases. The experimental results confirm the analysis.

Failure Detection Filter for the Sensor and Actuator Failure in the Auto-Pilot System

  • Suh, Sang-Hyun
    • Journal of Hydrospace Technology
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    • 제1권1호
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    • pp.75-88
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    • 1995
  • Auto-Pilot System uses heading angle information via the position sensor and the rudder device to control the ship's direction. Most of the control logics are composed of the state estimation and control algorithms assuming that the measurement device and the actuator have no fault except the measurement noise. But such asumptions could bring the danger in real situation. For example, if the heading angle measuring device is out of order the control action based on those false position information could bring serious safety problem. In this study, the control system including improved method for processing the position information is applied to the Auto-Pilot System. To show the difference between general state estimator and F.D.F., BJDFs for the sensor and the actuator failure detection are designed and the performance are tested. And it is shown that bias error in sensor could be detected by state-augmented estimator. So the residual confined in the 2-dimension in the presence of the sensor failure could be unidirectional in output space and bias sensor error is much easier to be detected.

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속도센서가 없는 비전시스템을 이용한 이동로봇의 목표물 추종 (Target Tracking Control of Mobile Robots with Vision System in the Absence of Velocity Sensors)

  • 조남섭;권지욱;좌동경
    • 전기학회논문지
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    • 제62권6호
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    • pp.852-862
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    • 2013
  • This paper proposes a target tracking control method for wheeled mobile robots with nonholonomic constraints by using a backstepping-like feedback linearization. For the target tracking, we apply a vision system to mobile robots to obtain the relative posture information between the mobile robot and the target. The robots do not use the sensors to obtain the velocity information in this paper and therefore assumed the unknown velocities of both mobile robot and target. Instead, the proposed method uses only the maximum velocity information of the mobile robot and target. First, the pseudo command for the forward linear velocity and the heading direction angle are designed based on the kinematics by using the obtained image information. Then, the actual control inputs are designed to make the actual forward linear velocity and the heading direction angle follow the pseudo commands. Through simulations and experiments for the mobile robot we have confirmed that the proposed control method is able to track target even when the velocity sensors are not used at all.

카메라를 이용한 이동 로보트 주행 제어 (Navigation control for a mobile robot using a camera)

  • 문순환;한민홍
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 1994년도 춘계공동학술대회논문집; 창원대학교; 08월 09일 Apr. 1994
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    • pp.42-48
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    • 1994
  • This paper presents the navigation method for a mobile robot which uses a single camera and fluorescent lamp as a guide mark, projected on a convex mirror. The current position and heading direction of the mobile robot are obtained from the image of the guide mark. While the mobile robot travels to a goal position, the current position and heading direction of the mobile robot are updated continuously and the desired path and actual moving path are displayed on the monitor screen in real time. This proposed method eliminates the need to rotate the camera to track the guide mark, since a panoramic view of the surrounding area is available from the convex mirror, and natural guide marks such as usual florescent lamp on the ceiling or door frame can be used for navigation.

경사방향 추정 기법을 이용한 소형로봇의 퍼지 조향 제어 (The Fuzzy Steering Control Using a Slope Direction Estimation Method for Small Unmanned Ground Vehicle)

  • 이상훈;허진욱;강신천;이명천
    • 한국군사과학기술학회지
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    • 제15권6호
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    • pp.721-728
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    • 2012
  • The tracked SUGVs(Small Unmanned Ground Vehicles) are frequently operated in the narrow slope such as stairs and trails. But due to the nature of the tracked vehicle which is steered using friction between the track and the ground and the limited field of view of driving cameras mounted on the lower position, it is not easy for SUGVs to trace narrow slopes. To properly trace inclined narrows, it is very important for SUGVs to keep it's heading direction to the slope. As a matter of factor, no roll value control of a SUGV can makes it's heading being located in the direction of the slope in general terrains. But, the problem is that we cannot directly control roll motion for SUGV. Instead we can control yaw motion. In this paper, a new slope driving method that enables the vehicle trace the narrow slopes with IMU sensor usually mounted in the SUGV is suggested which including an estimation technique of the desired yaw angle corresponding to zero roll angle. In addition, a fuzzy steering controller robust to changes in driving speed and the stair geometry is designed to simulate narrow slope driving with the suggested method. It is shown that the suggested method is quite effective through the simulation.

Object's orientation and motion for scene understanding

  • Sakai, Y.;Kitazawa, M.;Okuno, Y.
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국제학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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    • pp.271-276
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    • 1993
  • Here in the present paper. A methodology for understanding scenes which includes moving objects in it, in the framework of notion of concepts. First by conceptualizing, understanding an object which is an element of a scene will be described. Then how to know the direction to which that object is heading will be discussed. Further, the methodology proposed, for understanding conceptually the motion of an object will be described utilizing the above knowledge of direction.

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이동 로봇의 추종 제어를 위한 이중 슬라이딩 표면에 기반한 슬라이딩 모드 제어 (Double Sliding Surfaces based on a Sliding Mode Control for a Tracking Control of Mobile Robots)

  • 이준구;최윤호;박진배
    • 제어로봇시스템학회논문지
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    • 제19권6호
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    • pp.495-500
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    • 2013
  • This paper proposes a double sliding surfaces based on a sliding mode control for a tracking control of nonholonomic mobile robots in the Cartesian coordinates. In order to remove sliding surface constraints, we design the additional sliding surface for the heading angle with respect to the newly defined coordinates. Then, we define the switching law based on the posture error to combine the designed sliding surface with the previous one. By using the double sliding surfaces and the switching law, we obtain the control law for arbitrary trajectories. It is proved that the position tracking error and the heading direction error asymptotically converge to zero, respectively, with the Lyapunov stability theory. Finally, through computer simulations, we demonstrate the effectiveness of the proposed control system.

특이섭동법을 이용한 비행체 자동착륙 유도제어 알고리즘 설계 (Design of Autolanding Guidance and Control Algorithm Using Singular Perturbation)

  • 하철근;최형식
    • 제어로봇시스템학회논문지
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    • 제11권8호
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    • pp.726-732
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    • 2005
  • This paper proposes an autolanding guidance and control algorithm with the lateral guidance law. This algorithm is basically formulated and designed in feedback linearization based on singular perturbation. Main features of this algorithm are two facts. One of those is that when a certain situation happens that airplane must realign to the runway suddenly assigned due to unexpected environment change around the landing site, the heading guidance in this algorithm is very valuable, and the other is the fact that the inner loop control of this algorithm is able to be designed directly based on the Handling Quality Requirements that most flight control systems must be satisfied with. To illustrate the potential of this algorithm, 6-DOF nonlinear simulation based on the nonlinear airplane model shown in Ref.[11] is carried out. The simulation results showed that the altitude response to the given landing trajectory is accurate, and the airplane heading alignment to the assigned runway from the lateral deviation is successful. It is noted that this algorithm is also applicable to unmanned aerial vehicle, which can be retrieved in autolanding technique, where the runway far retrieving the vehicle is in any direction for example at war field.

무인차량의 도로주행 방법 (Road following of an autonomous vehicle)

  • 박범주;한민홍
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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    • pp.773-778
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    • 1991
  • In this paper we describe a road following method for an autonomous vehicle. From a road image in gray level, a road boundary is detected using a gradient operator, and then the road boundary is converted to orthogonal view of the road showing the vehicle position and heading direction. In this research an efficient road boundary search technique is developed to support real time vehicle control. Also, an obstacle detection method, using images taken from two different positions, has been developed.

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