• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2007년도 하계종합학술대회 논문집
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• pp.149-150
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• 2007

By adding Gyro sensor to support the steering wheel angle sensor, an improved functional DR solution is proposed in this paper The proposed angle data algorism is developed based on the steering wheel with Gyro sensor for DR. The Gyro sensor support the error of steering wheel sensor to improve the angle data for the DR algorism.

• 한국전자통신학회논문지
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• 제5권5호
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• pp.493-497
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• 2010

선박의 실시간 좌표변환 구현하였고, DC Servo Motor의 Motion Control 알고리즘을 개발하였다. Servo Control 회로설계 및 PCB를 제작하였고, 이를 3-axis Gyro Sensor based Servo Motion Control 제어장치에 적용하여 시스템을 개발하였다. 또한 선박운동을 시뮬레이터하기 위해서 6자유도를 가진 선박용 시뮬레이터를 개발하였다. 개발된 시뮬레이터에 장착된 카메라를 이용하여 선박운동을 추척하는 시험을 한 결과 원하는 오차내에서 추적결과를 보여주었다.

• 한국컴퓨터정보학회논문지
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• 제23권8호
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• pp.17-23
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• 2018

In this paper, we implemented a flight posture simulator that intuitively understands aircraft flight posture and visualizes the principle of motion. The proposed system operates the 6 - axis motion platform according to the change of the navigation information and transmits the flight attitude to the simulator using the gyro sensor. A gyro sensor and an acceleration sensor are used together to analyze the attitude of the aircraft. The reason is that the gyro sensor has a cumulative error in the integration process. And the accelerometer sensor was compensated by using the complementary filter because noise was serious due to short term vibration. Using the compensated sensor information, the motion platform is operated by calculating the angle to be transmitted to the 6-axis motor. And visualization result is implemented using OpenGL. The results of this study can be used as teaching materials for students related to aviation in the future.

• 제어로봇시스템학회논문지
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• 제17권6호
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• pp.546-551
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• 2011

Tilt sensor is required to control the attitude of the biped robot when it walks on an uneven terrain. Vision sensor, which is used for recognizing human or detecting obstacles, can be used as a tilt angle sensor by comparing current image and reference image. However, vision sensor alone has a lot of technological limitations to control biped robot such as low sampling frequency and estimation time delay. In order to verify limitations of vision sensor, experimental setup of an inverted pendulum, which represents pitch motion of the walking or running robot, is used and it is proved that only vision sensor cannot control an inverted pendulum mainly because of the time delay. In this paper, to overcome limitations of vision sensor, Kalman filter for the multi-rate sensor fusion algorithm is applied with low-quality gyro sensor. It solves limitations of the vision sensor as well as eliminates drift of gyro sensor. Through the experiment of an inverted pendulum control, it is found that the tilt estimation performance of fusion sensor is greatly improved enough to control the attitude of an inverted pendulum.

• 동력기계공학회지
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• 제19권3호
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• pp.36-41
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• 2015

The true north-finding equipment utilizing gyro sensor is used for INS(Inertial Navigation System) and has an increasing preference for gyro compass system due to compact size, lightening, low power and price. The purpose of this experiment is to research gyro compass system providing high performance in the field of manned or unmanned gyro compass system which proposes the accuracy of 1% utilizing experimented equipment at true north of the earth. Unlike the conventional system, the proposed gyro sensor system indicates to be applied in the various and specific equipment using multiple technique and method.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2009년도 춘계학술대회
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• pp.627-630
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• 2009

해상용 Multi Sensor Surveillance System은 다양한 기술의 복합체로서 본 과제에서 개발하고자하는 Gyro Sensor based Servo Motion Control 알고리즘은 선박의 6자유도운동을 분석하여 그에 대응할 수 있는 Motion Control 동요안정화제어장치를 개발하는 것이며, Nano Driving Precision Pan-Tilt/Gimbal System은 초정밀 초고속으로 감시용 디바이스를 적시에 정확한 동작을 수행하게 해주는 필수적인 장비이다. 최종적으로 개발하고자 하는 분야는 해상용 Nano Driving Multi Sensor Surveillance System 중 Nano Driving Precision Pan-Tilt/Gimbal의 최적설계 및 제작, 3-axis Gyro Sensor based Servo Motion Control 알고리즘 개발, 영상추적 Video Tracking Software 및 Hardware의 개발 및 각 세부주관에서 개발한 각각의 장비를 하나의 시스템으로 통합하는 시스템 Integration 및 시험인증으로 하나의 시스템을 완성 하였다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2010년도 춘계학술대회
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• pp.725-727
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• 2010

선박의 운동을 시뮬레이터 하기 위해서는 Pitch, Roll, Yaw의 세가지 선박 운동 요소를 시뮬레이터 할 수 있어야 한다. 이를 위해 선박의 운동을 시뮬레이터 할 수 있는 6축의 자유도를 가지는 모션 시뮬레이터를 설계 개발 하였다. Gyro Sensor based Servo Motion Control 알고리즘은 선박의 6자유도운동을 분석하여 그에 대응 할 수 있는 Motion Control 동요안정화 제어장치를 개발하였다.

• Journal of Positioning, Navigation, and Timing
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• 제13권2호
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• pp.179-187
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• 2024

The performance of a Strapdown Inertial Navigation System (SDINS) relies heavily on the accuracy of sensor error calibration. Systematic calibration is usually employed when only a 2-axis turntable is available. For systematic calibration, the body frame is commonly defined with respect to sensor axes for ease of computation. The drawback of this approach is that sensor axes may undergo time-varying deflection under temperature change, causing pseudo gyro bias. The effect of pseudo gyro bias on navigation performance is negligible for low grade navigation systems. However, for higher grade systems undergoing rapid temperature change, the error is no longer negligible. This paper describes in detail conditions leading to the presence of pseudo gyro bias, and proposes two techniques for mitigating the error. Experimental results show that applying these techniques improves navigation performance for precision SDINS, especially under rapid temperature change.

• 한국멀티미디어학회논문지
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• 제20권6호
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• pp.927-934
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• 2017

As the technology of drone develops, the use of drone is increasing, In addition, the types of sensors that are inside of smart phones are becoming various and the accuracy is enhancing day by day. Various of researches are being progressed. Therefore, we need to control drone by using smart phone's sensors. In this paper, we propose the most suitable machine learning model that matches the gyro sensor data with drone's moving. First, we classified drone by it's moving of the gyro sensor value of 4 and 8 degree of freedom. After that, we made it to study machine learning. For the method of machine learning, we applied the One-Rule, Neural Network, Decision Tree, and Navie Bayesian. According to the result of experiment that we designated the value from gyro sensor as the attribute, we had the 97.3 percent of highest accuracy that came out from Naive Bayesian method using 2 attributes in 4 degree of freedom. On and the same, in 8 degree of freedom, Naive Bayesian method using 2 attributes showed the highest accuracy of 93.1 percent.

• 반도체디스플레이기술학회지
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• 제12권2호
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• pp.85-91
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• 2013

In this paper, the parabolic antenna aims to the precise location of a moving ship or car that can be designed system using the gyro sensor. The parabolic antenna has controlled by stepping motor that is a lot of noise and slow response of speed. It has solved the problem which is noise and slow response using the BLDC motor. Also, in order to suppress the noise two-axis control and a separate encoder to the six degrees of freedom motion system was implemented in a precise location. Generally, the gyro sensor is not required to system that doesn't move the six degrees of freedom motion system. But the system will be applied to the moving such as ships or cars. Finally, we presented the position control algorithm at the sometimes controlled both gyro sensor and BLDC motor. This system was tracking that the location of the antenna to the desired angle and errors almost didn't happen when the system was moved 6 degrees of freedom.