WA08 Navigation, Guidance and Control I
Time : 09:10~10:40
Room : 203
Chair : Hiroyuki Takano (National Defense Academy, )
09:10~09:25        WA08-1
Optimal Spacecraft Rendezvous with PNG

Hiroyuki Takano, Mini Matsuda, Takeshi Yamasaki, Isao Yamaguchi(National Defense Academy, Japan)

Recently, along with International Space Station, many rendezvous are carried out around the earth. Some of them are unmanned space freights and require automatic rendezvous procedure. In this paper, spacecraft rendezvous with input time-lag system are formulated as nonlinear programming problems based on the proportional navigation guidance (PNG) and numerically analyzed. The optimal solutions were obtained for several objectives. The problem of choice of the navigation constant that provides minimizing rendezvous time and control effort is analyzed. The results of simulation are given.
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09:25~09:40        WA08-2
Modified Algorithm of Predictive Ground Collision Avoidance System for the Low Level Terrain Flight

Seongheon Lee(Korea Advanced Institute of Science and Technology, Korea, Republic of ), Dongjin Lee(Hanseo University, Korea, Republic of ), Hyochoong Bang(Korea Advanced Institute of Science and Technology, Korea, Republic of )

Controlled Flight Into Terrain (CFIT) is reported as a major cause of today’s aircraft accidents. To mitigate these accidents, Predictive Ground Collision Avoidance System (PGCAS) has been used since the mid-70s. In PGCAS algorithm, however, relatively large safety margin for the terrain searching pattern could cause some drawbacks such as nuisance alarms or unnecessary pull-up commands during a tactical terrain-following or low level terrain flight to evade enemy’s air defense network. In this paper, a modified algorithm based on weighted terrain searching pattern is proposed to improve PGCAS
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09:40~09:55        WA08-3
Extended Kalman Filter with Multi-frequency Reference Data for Quadrotor Navigation

Koog-Hwan Oh, Hyo-Sung Ahn(GIST, Korea, Republic of )

In this paper, a quadrotor navigation integrating inertial measurement unit (IMU), global positioning system (GPS), and compass sensors is proposed. The proposed extended Kalman filter(EKF)-based navigation estimates not only the position, velocity, and attitude of a quadrotor but also the moving bias of the IMU sensor when IMU and GPS have different measurement frequencies. The quadrotor navigation is verified and its performances are compared with corresponding GPS sampling frequencies through the quadrotor simulation.
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09:55~10:10        WA08-4
A Study of Missile Maximum Capture Area and Fighter Minimum Evasive Range for Negotiation Team Air Combat

Chien-Chun Kung(Chung Cheng Institute of Technology, National Defense University, Taiwan), Feng-Lung Chiang(National Chung-Shan Institute of Science & Technology, Taiwan)

In this paper, the processes for establishing the missile maximum capture area and the fighter minimum evasive range are proposed for negotiation team air combat. The architecture of multi-fighter air combat simulation system is constructed by game theory with a utilitarian solution to solve the optimal pursuit /evasion strategies of the two rival sides. This paper assesses the effectiveness of PN and PGN missile guidance laws to establish the missile maximum capture areas and the fighter minimum evasive ranges for a negotiation team air combat.
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10:10~10:25        WA08-5
Pose Estimation of Head-Mounted Imaging Device by Transfer Alignment Technique in Unstructured Indoor Environment

MUHAMMAD ILYAS(UST, Korea, Republic of ), Seung-Ho Baeg, Sangdeok Park(Korea institute of industrial Technology(KITECH), Korea, Republic of )

Position and attitude estimation of helmet-mounted imaging devices e.g. camera/lidar is difficult in unstructured indoor environment due to lack of conventional localization systems, e.g. RF, Ultrasonic, UWB and Wi-Fi signals, usually available in modern office-like buildings. In this work, we use single MEMS IMU fitted on foot, which when combined with zero-velocity updates in Extended Kalman filter estimation framework at every foot step, provides very accurate position estimates, regardless of the user and environment
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10:25~10:40        WA08-6
Integrated Navigation and Control for a HAUV System Using Adaptive Super-Twisting Sliding Mode Control and Indirect Kalman Filtering Estimation

Seong Ik Han, Jae Jun Jung, Young Sik Park, Jang Myung Lee(Pusan National University, Korea, Republic of )

In this article, an integrated control and strap down inertial navigation system (SIDNS) is designed using the super-twisting algorithm (STA) and the extended indirect Kalman filter (EKF) for the hovering autonomous underwater vehicle system (HAUV). The 6-DOF nonlinear hydraulic dynamics of the HAUV are separated into the known and uncertainty terms to simplify controller design of the proposed STA system. An adaptive law is constructed to compensate uncertainty and the EKF algorithm is used to estimate the navigation information
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