• Title/Summary/Keyword: Global Error

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Intelligent Digital Redesign of Uncertain Nonlinear Systems Using Power Series (Power Series를 이용한 불확실성을 포함된 비선형 시스템의 지능형 디지털 재설계)

  • Sung, Hwa-Chang;Joo, Young-Hoon;Park, Jin-Bae;Kim, Do-Wan
    • Proceedings of the KIEE Conference
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    • 2005.10b
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    • pp.496-498
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    • 2005
  • This paper presents intelligent digital redesign method of global approach for hybrid state space fuzzy-model-based controllers. For effectiveness and stabilization of continuous-time uncertain nonlinear systems under discrete-time controller, Takagi-Sugeno(TS) fuzzy model is used to represent the complex system. And global approach design problems viewed as a convex optimization problem that we minimize the error of the norm bounds between nonlinearly interpolated linear operators to be matched. Also by using the power series, we analyzed nonlinear system's uncertain parts more precisely. When a sampling period is sufficiently small, the conversion of a continuous-time structured uncertain nonlinear system to an equivalent discrete-time system have proper reason. Sufficiently conditions for the global state-matching of the digitally controlled system are formulated in terms of linear matrix inequalities (LMIs).

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Soft-computing Method for Path Learning and Path Secession Judgment using Global Positioning System (위치정보 기반의 경로 학습 및 이탈 판단을 위한 소프트 컴퓨팅 기법)

  • Ra, Hyuk-Ju;Kim, Seong-Joo;Choi, Woo-Kyung;Jeon, Hong-Tae
    • Proceedings of the KIEE Conference
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    • 2004.05a
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    • pp.144-146
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    • 2004
  • It is known that Global Positioning System(GPS) is the most efficient navigation system because it provides precise position information on the all areas of Earth regardless of metrology. Until now, the size of GPS receivers has become smaller and the performance of receivers has become higher. So receivers provide the position information of not only static system but also dynamic system. Usually, users make similar movement trajectory according to their life pattern and it is possible to build up efficient database by collecting only the repeated users' position. Because position information calculated by the receiver is erroneous about 10-30m within 5% error tolerance, the position information is oscillated even on the same area. In this paper, we propose the system that can estimate whether users are out of trajectory or in dangerous situation by soft-computing method.

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Analysis of Position Error Variance on GNSS Augmentation System due to Non-Common Measurement Error (비공통오차 증가로 인한 위성항법보강시스템 위치 오차 분산 변화 분석)

  • Jun, Hyang-Sig;Ahn, Jong-Sun;Yeom, Chan-Hong;Lee, Young-Jae;Choi, Young-Kiu
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.6
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    • pp.1045-1050
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    • 2008
  • A GNSS augmentation system provides precision information using corrected GNSS pseudorange measurements. Common bias errors are corrected by PRC (Pseudorange Correction) between reference stations and a rover. However non-common errors (ionospheric and tropospheric noise error) are not corrected. Using position error variance this paper analyzes non-common error (noise errors) of ionosphere and troposphere wet vapor.

GPS Error Filtering using Continuity of Path for Autonomous Mobile Robot in Orchard Environment (과수원 환경에서 자율주행로봇을 위한 경로 연속성 기반 GPS오정보 필터링 연구)

  • Hyewon Yoon;Jeonghoon Kwak;Kyon-Mo Yang;Byong-Woo Gam;Tae-Gyu Yeo;Jongyoul Park;Kap-Ho Seo
    • The Journal of Korea Robotics Society
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    • v.19 no.1
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    • pp.23-30
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    • 2024
  • This paper studies a GPS error filtering method that takes into account the continuity of the ongoing path to enhance the safety of autonomous agricultural mobile robots. Real-Time Kinematic Global Positioning System (RTK-GPS) is increasingly utilized for robot position evaluation in outdoor environments due to its significantly higher reliability compared to conventional GPS systems. However, in orchard environments, the robot's current position obtained from RTK-GPS information can become unstable due to unknown disturbances like orchard canopies. This problem can potentially lead to navigation errors and path deviations during the robot's movement. These issues can be resolved by filtering out GPS information that deviates from the continuity of the waypoints traversed, based on the robot's assessment of its current path. The contributions of this paper is as follows. 1) The method based on the previous waypoints of the traveled path to determine the current position and trajectory. 2) GPS filtering method based on deviations from the determined path. 3) Finally, verification of the navigation errors between the method applying the error filter and the method not applying the error filter.

Performance Analysis of GPS and QZSS Orbit Determination using Pseudo Ranges and Precise Dynamic Model (의사거리 관측값과 정밀동역학모델을 이용한 GPS와 QZSS 궤도결정 성능 분석)

  • Beomsoo Kim;Jeongrae Kim;Sungchun Bu;Chulsoo Lee
    • Journal of Advanced Navigation Technology
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    • v.26 no.6
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    • pp.404-411
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    • 2022
  • The main function in operating the satellite navigation system is to accurately determine the orbit of the navigation satellite and transmit it as a navigation message. In this study, we developed software to determine the orbit of a navigation satellite by combining an extended Kalman filter and an accurate dynamic model. Global positioning system (GPS) and quasi-zenith satellite system (QZSS) orbit determination was performed using international gnss system (IGS) ground station observations and user range error (URE), a key performance indicator of the navigation system, was calculated by comparison with IGS precise ephemeris. When estimating the clock error mounted on the navigation satellite, the radial orbital error and the clock error have a high inverse correlation, which cancel each other out, and the standard deviations of the URE of GPS and QZSS are small namely 1.99 m and 3.47 m, respectively. Instead of estimating the clock error of the navigation satellite, the orbit was determined by replacing the clock error of the navigation message with a modeled value, and the regional correlation with URE and the effect of the ground station arrangement were analyzed.

dynamic localization of a mobile robot using a rotating sonar and a map (회전 초음파 센서와 지도를 이용한 이동 로보트의 동적 절대 위치 추정)

  • 양해용;정학영;이장규
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.544-547
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    • 1997
  • In this paper, we propose a dynamic localization method using a rotating sonar and a map. The proposed method is implemented by using extended Kalman filter. The state equation is based on the encoder propagation model and the encoder error model, and the measurement equation is a map-based measurement equation using a rotating sonar sensor. By utilizing sonar beam characteristics, map-based measurements are updated while AMR is moving continuously. By modeling and estimating systematic errors of a differential encoder, the position is successfully estimated even the interval of the map-based measurement. Monte-Carlo simulation shows that the proposed global position estimator has the performance of a few millimeter order in position error and of a few tenth degrees in heading error and of compensating systematic errors of the differential encoder well.

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Quality Monitoring Method Analysis for GNSS Ground Station Monitoring and Control Subsystem (위성항법 지상국 감시제어시스템 품질 감시 기법 분석)

  • Jeong, Seong-Kyun;Lee, Sang-Uk
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.18 no.1
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    • pp.11-18
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    • 2010
  • GNSS(Global Navigation Satellite System) Ground Station performs GNSS signal acquisition and processing. This system generates error correction information and distributes them to GNSS users. GNSS Ground Station consists of sensor station which contains receiver and meteorological sensor, monitoring and control subsystem which monitors and controls sensor station, control center which generates error correction information, and uplink station which transmits correction information to navigation satellites. Monitoring and control subsystem acquires and processes navigation data from sensor station. The processed data is transmitted to GNSS control center. Monitoring and control subsystem consists of data acquisition module, data formatting and archiving module, data error correction module, navigation determination module, independent quality monitoring module, and system maintenance and management module. The independent quality monitoring module inspects navigation signal, data, and measurement. This paper introduces independent quality monitoring and performs the analysis using measurement data.

Coordinates Tracking Algorithm Design (표적 좌표지향 알고리즘 설계)

  • 박주광
    • Journal of the Korea Institute of Military Science and Technology
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    • v.5 no.3
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    • pp.62-76
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    • 2002
  • This paper describes the design of a Coordinates Tracking algorithm for EOTS and its error analysis. EOTS stabilizes the image sensors such as FLIR, CCD TV camera, LRF/LD, and so on, tracks targets automatically, and provides navigation capability for vehicles. The Coordinates Tracking algorithm calculates the azimuth and the elevation angle of EOTS using the inertial navigation system and the attitude sensors of the vehicle, so that LOS designates the target coordinates which is generated by a Radar or an operator. In the error analysis in this paper, the unexpected behaviors of EOTS that is due to the time delay and deadbeat of the digital signals of the vehicle equipments are anticipated and the countermeasures are suggested. This algorithm is verified and the error analysis is confirmed through simulations. The application of this algorithm to EOTS will improve the operational capability by reducing the time which is required to find the target and support especially the flight in a night time flight and the poor weather condition.

Compensative Microstepping Based Position Control with Passive Nonlinear Adaptive Observer for Permanent Magnet Stepper Motors

  • Kim, Wonhee;Lee, Youngwoo;Shin, Donghoon;Chung, Chung Choo
    • Journal of Electrical Engineering and Technology
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    • v.12 no.5
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    • pp.1991-2000
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    • 2017
  • This paper presents a compensative microstepping based position control with passive nonlinear adaptive observer for permanent magnet stepper motor. Due to the resistance uncertainties, a position error exists in the steady-state, and a ripple of position error appears during operation. The compensative microstepping is proposed to remedy this problem. The nonlinear controller guarantees the desired currents. The passive nonlinear adaptive observer is designed to estimate the phase resistances and the velocity. The closed-loop stability is proven using input to state stability. Simulation results show that the position error in the steady-state is removed by the proposed method if the persistent excitation conditions are satisfied. Furthermore, the position ripple is reduced, and the Lissajou curve of the phase currents is a circle.