• 제목/요약/키워드: Steering pattern

검색결과 77건 처리시간 0.021초

조종자 입력패턴을 활용한 RIB형 무인선의 침로제어기 설계 (Design of Course Keeping Controller for RIB-type USV Using a Pilot's Steering Pattern)

  • 윤근항;여동진;윤현규
    • 대한조선학회논문집
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    • 제47권3호
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    • pp.462-468
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    • 2010
  • A new course keeping controller for RIB(Rigid Inflatable Boat)-type USV(Unmanned Surface Vehicle) is developed using pilot's steering pattern. A pilot's simple steering pattern is found out from various course change tests. It is used to course keeping algorithm, suitable for large course change more than 60 degrees. To validate the course keeping controller, sea trial tests are conducted. From sea trial test, new course keeping controller shows good performance with less overshoot, maximum roll angle less than $20^{\circ}$, which makes it possible that fast course changes without slip motion of USV.

전동식 조향 장치의 성능 평가를 위한 신경 근육계 기반 운전자 모델 개발 (Development of Human Driver Model based on Neuromuscular System for Evaluation of Electric Power Steering System)

  • 이성현;이동필;이재풍;채흥석;이명수;이경수
    • 자동차안전학회지
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    • 제9권3호
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    • pp.19-23
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    • 2017
  • This paper presents a lateral driver model with neuromuscular system to evaluate the performance of electric power steering (EPS). Output of most previously developed driver models is steering angle. However, in order to evaluate EPS system, driver model which results in steering torque output is needed. The proposed lateral driver model mainly consists of 2 parts: desired steering angle calculation and conversion of steering angle into steering torque. Desired steering angle calculation part results in steering angle to track desired yaw rate for path tracking. Conversion of steering angle into torque is consideration with neuromuscular system. The proposed driver model is investigated via actual driving data. Compared to other algorithms, the proposed algorithm shows similar pattern of steering angle with human driver. The proposed driver can be utilized to efficiently evaluate EPS system in simulation level.

Vertical Integration of MM-wave MMIC's and MEMS Antennas

  • Kwon, Young-Woo;Kim, Yong-Kweon;Lee, Sang-Hyo;Kim, Jung-Mu
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제6권3호
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    • pp.169-174
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    • 2006
  • In this work, we demonstrate a novel compact mechanical beam steering transmitter based on a direct vertical integration of a 2-D MEMS-based mechanical beam steering antenna with a VCO on a single silicon platform. By eliminating the long feed lines and waveguide metal blocks, the radiation pattern has been improved vastly, resulting in an almost ideal pattern at every scan angle. The losses incurred by the feed lines and phase shifters are also eliminated, which allows the transmitter to be implemented using only a single VCO. The system complexity has been greatly reduced with a total module size of only 1.5 cm ${\times}$ 1.5 cm ${\times}$ 0.4 cm. This work demonstrates that RF MEMS can be a key enabling technology for high-level integration.

무인 전기자동차의 신경회로망 조향 제어기 개발 (Development of the Neural Network Steering Controller for Unmanned electric Vehicle)

  • 손석준;김태곤;김정희;류영재;김의선;임영철;이주상
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2000년도 추계학술대회 학술발표 논문집
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    • pp.281-286
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    • 2000
  • This paper describes a lateral guidance system of an unmanned vehicle, using a neural network model of magneto-resistive sensor and magnetic fields. The model equation was compared with experimental sensing data. We found that the experimental result has a negligible difference from the modeling equation result. We verified that the modeling equation can be used in the unmanned vehicle simulations. As the neural network controller acquires magnetic field values(B$\_$x/, B$\_$y/, B$\_$z/) from the three-axis, the controller outputs a steering angle. The controller uses the back-propagation algorithms of neural network. The learning pattern acquisition was obtained using computer simulation, which is more exact than human driving. The simulation program was developed in order to verify the acquisition of the learning pattern, learning itself, and the adequacy of the design controller. A computer simulation of the vehicle (including vehicle dynamics and steering) was used to verify the steering performance of the vehicle controller using the neural network. Good results were obtained. Also, the real unmanned electrical vehicle using neural network controller verified good results.

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개선된 2단 최소자승법을 이용한 선배열 소나의 조향 빔 형성 (Steering Beam Pattern Synthesis of Line Array SONAR using Modified Two Step Least Squares Method)

  • 박경민;이석진;정석문
    • 전자공학회논문지
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    • 제51권6호
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    • pp.228-236
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    • 2014
  • 견인 선배열 소나는 해양이라는 유체에서 작동하기 때문에 그 형상이 왜곡되고, 특히 견인 함정이 회전하는 경우 형상이 심하게 변형된다. 이러한 경우 선배열이 갖는 빔 패턴 형성은 제한되며, 이로 인한 신호 대 잡음비 등의 성능 저하를 야기한다. 본 논문에서는 2단 최소자승법에 기초한 개선된 2단 최소자승법 알고리즘을 제안하였으며, 해양에서 운용되는 선배열의 형상을 변침각도로 모델링하여 알고리즘을 적용하였다. 변침각도와 주엽의 위치를 변경하면서, 알고리즘별 조향 빔의 신호 대 잡음비를 분석하였다. 그 결과 제안한 알고리즘이 다른 알고리즘보다 2dB 정도 성능이 향상되었으며, 비교적 일정한 빔 패턴을 형성하였다.

Null Steering of Circular Array Using Array Factor for GPS Anti-Jam

  • Kwon, Taek-Sun;Lee, Jae-Gon;Lee, Jeong-Hae
    • Journal of electromagnetic engineering and science
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    • 제18권4호
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    • pp.267-269
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    • 2018
  • In this letter, the null steering of a circular array is presented using a modified array factor (AF) for a global positioning system (GPS) anti-jam. The seven radiating elements were designed using a mu-zero resonance (MZR) circularly polarized (CP) antenna arranged toward the center. Since the radiating elements, which are arranged toward the center, have a CP characteristic, the AF of the seven radiating elements has to be modified considering the rotation angle of the nth radiating element. The phases of input ports can be calculated to implement a nulling of radiation patterns where the modified AF is zero. To verify the modified AF for null steering in the desired direction, two cases of power dividers operating in $L_2$ band (1.2276 GHz) were fabricated to achieve pattern nulling at a certain angle. The modified AF can be confirmed by a comparing the simulated and measured radiation patterns.

레이다 빔조향 특성 측정 장치 개발 및 보어 사이트 에러 측정 (Development of Radar Beam Steering Measurement System and measurement Boresight Error)

  • 곽용길
    • 한국항행학회논문지
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    • 제27권5호
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    • pp.546-551
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    • 2023
  • 본 연구에서는 AESA 레이다의 근전계에서 송신/수신 모드에 대한 원전계 빔조향, 근전계 빔집속 등의 기능을 수행하기 위한 빔 조향 특성 측정 장치를 개발하였다. 빔조향 특성 측정장치는 구면형 근접전계 스캐너, 안테나 포지셔너, 근접전계 제어기, 네트워크 측정기, 레이다 제어시스템, 검증용 레이다 및 모의레이돔, AESA 레이다 등으로 구성된다. 개발한 시스템을 이용하여 AESA 레이다에 대한 레이돔장착전/후의 송/수신패턴특성을 측정하였고, 근접전계 측정 후 원전계로의 변환을 통해 빔패턴을 분석하였다. 그리고 레이다 안테나 장치의 보어사이트에러 를측정하였고, 모의 레이돔 장착 전후 메인로브가 동일하게 형성됨을 확인할 수 있었다.

Calculating Array Patterns Using an Active Element Pattern Method with Ground Edge Effects

  • Lee, Sun-Gyu;Lee, Jeong-Hae
    • Journal of electromagnetic engineering and science
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    • 제18권3호
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    • pp.175-181
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    • 2018
  • The array patterns of a patch array antenna were calculated using an active element pattern (AEP) method that considers ground edge effects. The classical equivalent radiation model of the patch antenna, which is characterized by two radiating slots, was adopted, and the AEPs that include mutual coupling were precisely calculated using full-wave simulated S-parameters. To improve the accuracy of the calculation, the edge diffraction of a ground plane was incorporated into AEP using the uniform geometrical theory of diffraction. The array patterns were then calculated on the basis of the computed AEPs. The array patterns obtained through the conventional AEP approach and the AEP method that takes ground edge effects into account were compared with the findings derived through full-wave simulations conducted using a High Frequency Structure Simulator (HFSS) and FEKO software. Results showed that the array patterns calculated using the proposed AEP method are more accurate than those derived using the conventional AEP technique, especially under a small number of array elements or under increased steering angles.

자기저항 센서를 이용한 지능형 자율주행 전기자동차의 신경회로망 조향 제어기 개발 (Development of the Neural Network Steering Controller based on Magneto-Resistive Sensor of Intelligent Autonomous Electric Vehicle)

  • 김태곤;손석준;유영재;김의선;임영철;이주상
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.196-196
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    • 2000
  • This paper describes a lateral guidance system of an autonomous vehicle, using a neural network model of magneto-resistive sensor and magnetic fields. The model equation was compared with experimental sensing data. We found that the experimental result has a negligible difference from the modeling equation result. We verified that the modeling equation can be used in simulations. As the neural network controller acquires magnetic field values(B$\_$x/, B$\_$y/, B$\_$z/) from the three-axis, the controller outputs a steering angle. The controller uses the back-propagation algorithms of neural network. The learning pattern acquisition was obtained using computer simulation, which is more exact than human driving. The simulation program was developed in order to verify the acquisition of the teaming pattern, teaming itself, and the adequacy of the design controller. The performance of the controller can be verified through simulation. The real autonomous electric vehicle using neural network controller verified good results.

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Optimum Array Configuration to Improve Null Steering Time for Mobile CRPA Systems

  • Byun, Gangil;Hyun, Jong-Chul;Seo, Seung Mo;Choo, Hosung
    • Journal of electromagnetic engineering and science
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    • 제16권2호
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    • pp.74-79
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    • 2016
  • This paper proposes an optimum array configuration to improve null steering time for mobile controlled reception pattern antenna (CRPA) systems. The proposed array consists of a single reference element at the center and nine auxiliary elements arranged in a circular array. The array radius and the vertical positions of the center element are optimized using a genetic algorithm in conjunction with a constrained least-mean-square algorithm. The results demonstrate that the proposed array is suitable for mobile CRPA systems without significant side nulls in satellite directions.