• Title/Summary/Keyword: gyro

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Design of data acquisition system for strapdown inertial navigation system (스트랩다운 관성항법 시스템을 위한 데이타 취득 시스템의 구성)

  • 조현진;김용관;정연태;이만형
    • 제어로봇시스템학회:학술대회논문집
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    • 1989.10a
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    • pp.33-38
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    • 1989
  • This paper is about construction of Data Acquisition System for Gyro-System which obtains the information such as position, velocity, acceleration and attitude etc of Dynamic Vehicle System. We made up the Data Acquisition System using IBM-PC and in connection with CYBER 180-830 based on rate table, controller and IEEE 488 Interface etc.

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Quad-rotor Robust Controller Design for Autonomous Flight (쿼드로터의 자율비행을 위한 로보스트 제어기 설계)

  • Kim, Min;Byun, Gi-Sik;Kim, Gwan-Hyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.05a
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    • pp.539-540
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    • 2012
  • 최근까지 무인 항공기는 군사적인 목적으로 활용하기 위해 활발하게 연구 되어 왔다. 근래에 들어 레저용, 또는 상업용으로 활용도가 급격히 증대되고 있다. 이에 국내외의 대학 및 연구기간에서 무인항공기의 자동비행 제어시스템을 위한 연구를 활발히 진행되고 있다. 최근 들어 무인항공기로 제어하기가 쉽고 활용도가 높은 쿼드로터 비행체가 각광을 받고 있는데 이미 많은 연구가 진행되어 왔다. 이러한 쿼드로터는 4개의 로터의 속도 제어로 비행체의 위치제어가 가능하다. 쿼드로터의 구조적인 이점으로 제어가 쉬운 반면 바람과 같은 외란에 매우 취약하다는 단점이 있어 실제 위치 제어가 쉽지가 않다. 본 논문에서는 외란(disturbance)에 취약한 쿼드로터의 위치제어를 안정하게 제어하기 위해 비행체의 자세 측정 센서인 관성측정장치(Inertial Measurement Unit)를 만들어 비행체의 자세를 측정 할 수 있도록 하였다. IMU는 자이로(Gyro)와 가속도(Accelerometer) 센서를 융합하여 비행체의 Roll, Pitch, Yaw 자세를 계측할 수 있도록 하였다. 본 논문에서는 일반적인 PID 제어기법을 적용하여 기존의 쿼드로터의 비행체에 대한 제어 성능을 실험을 제시하고자 한다.

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The Application of Orbital Modeling and Rational Function Model for Ground Coordinate from High Resolution Satellite Data (고해상도 인공위성데이터로부터 지상좌표 결정을 위한 궤도모델링 및 RFM기법 적용)

  • Seo, Doo-Chun;Yang, Ji-Yeon;Lee, Dong-Han;Im, Hyo-Suk
    • Aerospace Engineering and Technology
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    • v.7 no.2
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    • pp.187-195
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    • 2008
  • Generation of accurate ground coordinates from high resolution satellite image are becoming increasingly of interest. The primary focus of this paper is to compute satellite direct sensor model (DSM) and rational function model (RFM) for accurate generation of ground coordinates from high resolution satellite images. Being based on this we presented an algorithm to be able to efficiently ground coordinates about large area with introducing RFM(rational function model) method applied to rigorous sensor modeling standing on basis of satellite orbit dynamics and collinearity equation, and sensor modeling of high-resolution satellite data like IKONOS, QuickBird, KOMPSAT-2 and others. The general high resolution satellite measures the position, velocity and attitude data of satellite using star, gyro, and GPS sensors.

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Personal Navigation System Using GPS and Dead Reckoning (GPS와 추축항법을 이용항 개인휴대 항법시스템)

  • Hong, Jin-Seok;Yoon, Seon-Il;Jee, Gyu-In
    • Journal of Institute of Control, Robotics and Systems
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    • v.7 no.5
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    • pp.454-464
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    • 2001
  • In this paper, a personal navigation system is developed using GPS and dead reckoning sensors. This personal navigation system can be used to track a person inside a building, on an urban street, and in the mountain area. GPS can provide accurate absolute position information, but it cant be used without receiving enough satellite signals. Although the inertial sensors such as gyro an accelerometer and be used without this diggiculty, the inertial sensors severely suffer from their drift errors and the magne-tometer can be easily distorted by surrounding electromagnetic field. GPS and DR sensors can be inte-grated together to overcome these problems. A new personal navigation system that can be carried wit person is developed. A pedometer. actually vertically mounted accelerometer, detects ones footstep and gyro detects heading angle. These DR sensors are integrated with GPS and the humans walking pattern provides additional navigation information for compensating the DR sensors. The field testes are performed to evaluated the proposed navigation algorithm.

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Statistical Blade Angular Velocity Information-based Wind Turbine Fault Diagnosis Monitoring System (블레이드 각속도 통계 정보 기반 풍력 발전기 고장 진단 모니터링 시스템)

  • Kim, Byoungjin;Kang, Suk-Ju;Park, Joon-Young
    • KEPCO Journal on Electric Power and Energy
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    • v.2 no.4
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    • pp.619-625
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    • 2016
  • In this paper, we propose a new fault diagnosis monitoring system using gyro sensor-based angular velocity calculation for blades of the wind turbine system. First, the proposed system generates the angular velocity dataset for the rotation speed of the normal blade. Using the dataset, we estimate and evaluate the state of blades for the wind turbine by comparing the current state with the pre-calculated normal state. In the experimental results, the angular velocity of the normal state was higher than $360^{\circ}/s$ while that of the damaged blades was lower than $360^{\circ}/s$ and the standard deviation of the angular velocity was significantly increased.

Development of globe-type radio mouse using gyro sensor (자이로센서를 이용한 장갑형 무선마우스 개발)

  • Kim, Nam-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.8
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    • pp.1721-1728
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    • 2009
  • Future computer interface was interchanged with person's hands or eyes from traditional mouse. In this research, I developed glove type radio mouse using gyro sensor that is replaced mouse cursor movement with persons's hand movement. Introducing a mobile sensor network technology based on bluetooth, radio mouse connected to computer system wirelessly for overcoming wire mouse's activity restrictions. Also, using USB port interface made be easy to install and to use. Developed glove type radio mouse was confirmed in the possibility of using as well as an input pointing device for presentations or games that needed many kinds of user interaction.

Vision-Based Relative State Estimation Using the Unscented Kalman Filter

  • Lee, Dae-Ro;Pernicka, Henry
    • International Journal of Aeronautical and Space Sciences
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    • v.12 no.1
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    • pp.24-36
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    • 2011
  • A new approach for spacecraft absolute attitude estimation based on the unscented Kalman filter (UKF) is extended to relative attitude estimation and navigation. This approach for nonlinear systems has faster convergence than the approach based on the standard extended Kalman filter (EKF) even with inaccurate initial conditions in attitude estimation and navigation problems. The filter formulation employs measurements obtained from a vision sensor to provide multiple line(-) of(-) sight vectors from the spacecraft to another spacecraft. The line-of-sight measurements are coupled with gyro measurements and dynamic models in an UKF to determine relative attitude, position and gyro biases. A vector of generalized Rodrigues parameters is used to represent the local error-quaternion between two spacecraft. A multiplicative quaternion-error approach is derived from the local error-quaternion, which guarantees the maintenance of quaternion unit constraint in the filter. The scenario for bounded relative motion is selected to verify this extended application of the UKF. Simulation results show that the UKF is more robust than the EKF under realistic initial attitude and navigation error conditions.