• 제어로봇시스템학회논문지
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• 제6권7호
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• pp.586-593
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• 2000

In this paper we propose a new approach to the autonomous wall-following of wheeled mobile robots using hybrid system reference motion synthesis and generation. The hybrid system approach is in-troduced to the motion control of nonholonomic mobile robots for the indoor navigation problems. In the dis-crete event system the discrete states are defined by the user-defined constraints and the reference mo-tion commands are specified in the abstracted motions. The hybrid control system applied for the non-holonomic mobile robots can combine the motion planning and autonomous navigation with obstacle avoid-ance for the indoor navigation problem. Simulation results show that hybrid system approach is an effective method for the autonomous navigation in indoor environments.

• 항공우주시스템공학회지
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• 제4권3호
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• pp.6-16
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• 2010

After the first successful Apollo program, many countries around the world launched their own programs for exploring the moon. This paper surveys various navigation and attitude control systems of several past lunar exploration programs for the purpose of preparing a program for the first Korean lunar probe. For this first we investigate successful programs by introducing the sensors and actuators used for these programs, particularly focusing on those of Clementine and SMART-1 of USA and EU, respectively. Then based on the study, we suggest the necessary components of navigation and attitude control systems suitable for our lunar probe program.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.82-82
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• 2000

The way which estimates a position from Navigation is Dead-reckoning Navigation and Radio Navigation. Generally dead-reckoning navigation uses Gyro and odometer as sensor, but these have problems which are an integrating noise and a noise-sensitivity. Gps which is used by radio-navigation has a Troposthetic error and MultiPath ewer and so on. For minimizing a Troposthetic error and a Multipath error, this paper suggests to an algorithm which use vanishing point on CCD camera.

• Journal of Astronomy and Space Sciences
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• 제26권1호
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• pp.99-110
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• 2009

이 연구의 목적은 편대비행위성의 항법 및 궤도제어를 위한 실시간 Hardware-In-the-Loop(HIL) 시뮬레이션 테스트베드를 개발하는데 있다. HIL 시뮬레이션 테스트베드는 실제와 비슷한 하드웨어 환경을 구성하여 주어진 편대비행임무 요구조건에 따른 새로운 개념의 알고리즘을 테스트할 수 있는 시뮬레이터이다. HIL 시뮬레이션 테스트베드는 실제의 인공위성 시스템 인터페이스와 최대한 유사하게 설계되었으며 환경 컴퓨터, GPS 시뮬레이터, GPS 수신기, 비행제어 컴퓨터, 시각화 컴퓨터 등 총 5개의 독립적인 시스템으로 구성되어 있다. Spirent Communication사의 GSS6560 다중패널 RF 시뮬레이터와, (주)세트렉아이에서 제작한 우주용 GPS 수신기를 사용하여 실제와 유사한 GPS 관측데이터를 사용한다. GPS 수신기로부터 획득한 관측데이터는 비행제어 컴퓨터 시스템으로 전송되고 이를 통해 편대비행위성의 절대위치 및 상대위치결정을 수행하였다. 또한 이 결과를 바탕으로 비행제어 컴퓨터 시스템은 궤도조정에 필요한 제어값을 계산하여 환경 컴퓨터 시스템으로 전송한다. 이렇게 5개의 독립적인 시스템을 유기적으로 통합하여 폐순환반복(closed-loop) HIL 시뮬레이션 테스트베드를 설계하였다. 이 논문에서는 편대비행 위성의 항법 및 제어 알고리즘 테스트를 위한 실시간 HIL 시뮬레이션 테스트베드의 전반적인 구성방법과 세부적인 구성요소에 대해 설명하였다 저궤도 편대비행위성의 편대유지 임무에 대한 가상의 시나리오를 설정하여 위성 편대비행의 항법 및 궤도제어 알고리즘을 실험적으로 검증하였다.

• 제어로봇시스템학회논문지
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• 제19권8호
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• pp.682-687
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• 2013

Navigation is a crucial capability for all types of manned or unmanned vehicles. However, vehicle navigation in underwater environments still remains a challenging problem since GPS signals for position fixes are not available in the water. Terrain-referenced underwater navigation is an alternative navigation technique that utilizes geometric information of the subsea terrain to correct drift errors due to dead-reckoning or inertial navigation. Terrain-referenced navigation requires the description of an undulating terrain surface as a mathematical function or table, which often leads to a highly nonlinear estimation problem. Recently, PFs (Particle Filters), which do not require any restrictive assumptions about the system dynamics and uncertainty distributions, have been widely used for nonlinear filtering applications. However, PF has considerable computational requirements which used to limit its applicability to problems of relatively low state dimensions. This study proposes the use of a Rao-Blackwellized particle filter that is computationally more efficient than the standard PF for terrain-referenced underwater navigation involving a moderate number of states, and its performance is compared with that of the extended Kalman filter algorithm. The validity and feasibility of the proposed algorithm is demonstrated through numerical simulations.

• 제어로봇시스템학회논문지
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• 제19권8호
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• pp.702-708
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• 2013

Underwater TRN (Underwater Terrain Referenced Navigation) estimates an underwater vehicle state by measuring a distance between the vehicle and undersea terrain, and comparing it with the known terrain database. TRN belongs to absolute navigation methods, which are used to compensate a drift error of dead reckoning measurements such as IMU (Inertial Measurement Unit) or DVL (Doppler Velocity Log). However, underwater TRN is different to other absolute methods such as USBL (Ultra-Short Baseline) and LBL (Long Baseline), because TRN is independent of the external environment. As a magnetic-field-based navigation, TRN is a kind of geophysical navigation. This paper develops an EKF (Extended Kalman Filter) formulation for underwater TRN. A filter propagation part is composed by an inertial navigation system, and a filter update is executed with echo-sounder measurement. For large-initial-error cases, an adaptive EKF approach is also presented, to keep the filter be stable. At the end, simulation studies are given to verify the performance of the proposed TRN filter. With simplified sensor and terrain database models, the simulation results show that the underwater TRN could support conventional underwater navigation methods.

• 로봇학회논문지
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• 제9권4호
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• pp.216-224
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• 2014

This paper compares methods for attitude estimation of a UUV(Unmanned Underwater Vehicle). Attitude estimation plays a key role in underwater navigation using DVL(Doppler Velocity Log). The paper proposes attitude estimation methods using EKF(Extended Kalman Filter), UKF(Unscented Kalman Filter), and CF(Complementary Filter). It derives methods using the measurements from MEMS-AHRS(Microelectromechanical Systems-Attitude Heading Reference System) and DVL. The methods are used for navigation in a test pool and their navigation performance is compared. The results suggest that even if there is no measurement relative to some absolute landmarks, DVL-only navigation can be useful for navigation in a limited time and range.

• 제어로봇시스템학회논문지
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• 제17권2호
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• pp.183-189
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• 2011

An alignment algorithm for strapdown inertial navigation systems is proposed, in which the psi angle error model is utilized. The proposed alignment algorithm is derived from the Psi angle error model which has been widely used in real-time navigation systems. The equation for expecting steady state alignment error is also derived. The proposed algorithm was verified through real-time experiments. Experimental results show that the proposed algorithm can be used in the inertial navigation system and GNSS/INS integrated navigation system to get an initial attitude of the vehicle.

• 제어로봇시스템학회논문지
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• 제10권6호
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• pp.529-536
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• 2004

Autonomous navigation of an indoor mobile robot using the global ultrasonic system is presented in this paper. Since the trajectory error of the dead-reckoning navigation grows with time and distance, the autonomous navigation of a mobile robot requires to localize the current position of the robot, so that to compensate the trajectory error. The global ultrasonic system consisting of four ultrasonic generators fixed at a priori known positions in the work space and two receivers on the mobile robot has the similar structure with the well-known satellite GPS(Global Positioning System), and it is useful for the self-localization of an indoor mobile robot. The EKF(Extended Kalman Filter) algorithm for the self-localization is proposed and the autonomous navigation based on the self-localization is verified by experiments.

• 제어로봇시스템학회논문지
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• 제17권6호
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• pp.596-601
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• 2011

Autonomous navigating algorithms for mobile robots have been proved to be a difficult task. Based on the excellent homing performance shown by many insects, bio-inspired navigation algorithms for robotic experiments have been widely researched and applied to the design of navigational strategies for mobile robots. In this paper, among them, we analyze two simple landmark navigation methods their strengths and limits. We investigate the effect of the occlusion problem mainly, which is an important yet tough problem in many landmark navigation algorithms. In the point of view of the error of homing vector and the performance of the homing paths in the environment with artificial occlusions, we investigate the effect of occlusion problem in both methods in order to further study on solutions.