Min-Seok Jie

Analysis of Cooling Ball Stress to Prevent Spontaneous Ignition of Coal Stockpiles

Min-Seok Jie, Seung-Hun Kim, Chan-Syb Yeum and Won-Hyuck Choi Department of Avionics Engineering Hanseo University 236-49, Gomseom-ro, Nam-myeon, Taean-gun, 32158 Chungcheongnam-do, Republic of Korea Department of Aeronautical Systems Engineering, 236-49, Gomseom-ro, Nammyeon, Taean-gun, 32158 Chungcheongnam-do, Republic of Korea People i Co., Ltd., 49, Techno 8-ro, Yuseong-gu, Daejeon, Republic of Korea {choiwh, jiems}@hanseo.ac.kr, kimsh753@naver.com

Research of HID (Human Interface Device) 3-Dimensional Motion Recognition Device

In this paper, we developed a wireless transceiver based 3D motion recognition device for HMD (Head Mounted Display). This unit uses a gyro sensor and acceleration sensor. A device that recognizes the users head and body parts in 3D motion. You can recognize it by attaching it to an object. Human interface devices (HID) systems also connect directly to the user. It utilizes the users movement obtained from the device. The Kalman filter is used to increase the accuracy of the data. It connects to UAV and provides more accurate information and freedom of space. It can be applied to all areas of the remote control.

Quad-Copter Posture Control Using Fusion Filter of Complementary Filter and Kalman Filter Using MEMS Sensor

On this paper, we used a separate MEMS sensor on the quad-copter to perceive and maintain the posture from the vibration the quad-copter received. We propose a stable posture adjustment method by merging the complementary filter and the Kalman filter. The safety improvement of the attitude control was verified by simulation and actual quad helicopter. MALTAB simulation results were compared using Kalman filters and complementary filters for gyro data and acceleration data received from MEMS sensors. In this study, we investigated the stability analysis of the flight posture using the MEMS sensor equipped with the equipment and the quad pilot. Based on the data output of the convergence type complementary filter and the Kalman filter, it is attached to the real quad to control the motor speed and verify the stability control performance.

Speed and Surge Control for an Unmanned Aircraft Vehicle with Turbojet Engine

This paper proposed fuzzy PID controller which prevents compressor surge and reduces the acceleration time of the fuel flow control system for turbo-jet engine. The fuzzy PID controller is to stabilize the unmanned aircraft vehicle upon occurring unexpected engine surge. This controller is designed by applying fuzzy PID control algorithm, inferred by applying Mamdani’s inference method and defuzzified by using the center of gravity method. Fuzzy inference results are used as the fuel flow control inputs to prevent compressor surge and flame-out for turbo-jet engine. The controller is designed to converge to the desired speed quickly and safely. The performance of the proposed controller is verified by performing computer simulations with MATLAB.