• Title/Summary/Keyword: Position Detection

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The navigation method of mobile robot using a omni-directional position detection system (전방향 위치검출 시스템을 이용한 이동로봇의 주행방법)

  • Ryu, Ji-Hyoung;Kim, Jee-Hong;Lee, Chang-Goo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.2
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    • pp.237-242
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    • 2009
  • Comparing with fixed-type Robots, Mobile Robots have the advantage of extending their workspaces. But this advantage need some sensors to detect mobile robot's position and find their goal point. This article describe the navigation teaching method of mobile robot using omni-directional position detection system. This system offers the brief position data to a processor with simple devices. In other words, when user points a goal point, this system revise the error by comparing its heading angle and position with the goal. For these processes, this system use a conic mirror and a single camera. As a result, this system reduce the image processing time to search the target for mobile robot navigation ordered by user.

A Study on a Rotor Position Sensor Offset Detection Method in a Permanent Magnet Synchronous Generator (영구자석형 동기발전기의 회전자 위치검출 센서의 옵셋 검출에 관한 연구)

  • Park, Kyusung;Shin, Sung-Hwan;Lee, Hokwang;Yoon, Youngdeuk;Lee, Geunho
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.9
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    • pp.914-921
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    • 2014
  • In this paper, an algorithm is suggested to detect an offset angle of the absolute rotor position sensor after the initial assembly of a PMSG. Unlike previous studies in a stationary state, this one is not designed to detect an electrical angle but rather the absolute position of the rotor is detected while operating the generator. Also,a position sensor, current sensors and voltage sensor were used to ensure reliability. This technique completes the detection of the sensor offset in two steps. In the first step, a zero-crossing of the EMF is measured using a voltage sensor to detect the electrical angle offset when the alternator is actuated by the engine. In the second step, a high frequency current is injected along the d-axis on-line during the control of the generation, eventually to obtain the inductance using a DFT (Discrete Fourier Transform), and then to ultimately extract the final electrical angle offset through the comparison of the inductance magnitude. The suggested algorithm was validated with PSIM simulation and, furthermore, was tested with actual experiments on a dynamometer.

Performance Evaluation of MTF Peak Detection Methods by a Statistical Analysis for Phone Camera Modules

  • Kwon, Jong-Hoon;Rhee, Hyug-Gyo;Ghim, Young-Sik;Lee, Yun-Woo
    • Journal of the Optical Society of Korea
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    • v.20 no.1
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    • pp.150-155
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    • 2016
  • To evaluate the autofocusing performance of recent mobile phone cameras, it is necessary to determine the peak position of the center field MTF (Modulation Transfer Function), -known as the through focus MTF- of the module. However, the MTF peak position found by conventional methods deviates from the ideal position due to the focus scanning resolution of mobile phone cameras. This inaccurate peak position results in false judgements of the optical performance, leading to yield losses or customer complaints. An increase in the focus scanning resolution can address this problem, but the manufacturing UPH (Unit per Hour) level will also unfortunately increase as well, resulting in a loss of manufacturing capabilities. In this paper, several fitting models are studied to find an accurate MTF peak position within a short period of time. With an analysis of a large amount of manufacturing data, it is demonstrated that the fitting methods can reduce false judgements and simultaneously increase the capabilities of the manufacturing system.

Lip Detection using Color Distribution and Support Vector Machine for Visual Feature Extraction of Bimodal Speech Recognition System (바이모달 음성인식기의 시각 특징 추출을 위한 색상 분석자 SVM을 이용한 입술 위치 검출)

  • 정지년;양현승
    • Journal of KIISE:Software and Applications
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    • v.31 no.4
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    • pp.403-410
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    • 2004
  • Bimodal speech recognition systems have been proposed for enhancing recognition rate of ASR under noisy environments. Visual feature extraction is very important to develop these systems. To extract visual features, it is necessary to detect exact lip position. This paper proposed the method that detects a lip position using color similarity model and SVM. Face/Lip color distribution is teamed and the initial lip position is found by using that. The exact lip position is detected by scanning neighbor area with SVM. By experiments, it is shown that this method detects lip position exactly and fast.

Implementation of a Senseless Position Controller Capable of Multi-turn Detection in a Turret Servo System (터렛 서보 시스템에서 멀티-턴 검출이 가능한 센서리스 위치제어기 구현)

  • Cho, Nae-Soo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.1
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    • pp.37-44
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    • 2021
  • This study is implemented as a sensor-less position controller capable of multi-turn detection to replace the expensive absolute encoder used in the turret servo system. For sensor-less control, the position information of the rotor is essential. For this, a magnetic flux estimator was implemented from the mathematical model of IPMSM used in the turret servo system. The position of the rotor and the angular velocity of the rotor were obtained using the rotor magnetic flux calculated from the magnetic flux estimator. Using the zero-crossing technique, one pulse was generated for each rotation of the estimated rotor magnetic flux to measure the number of multi-turns. Simulation and experiment results confirmed the usefulness of the proposed method.

Dwell Time Optimization of Alert-Confirm Detection for Active Phased Array Radars

  • Kim, Eun Hee;Park, JoonYong
    • Journal of electromagnetic engineering and science
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    • v.19 no.2
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    • pp.107-114
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    • 2019
  • Alert-confirm detection is a highly efficient method to improve phased array radar search performance. It comprises sequential detection in two steps: alert detection, in which a target is detected at a low detection threshold, and confirm detection, which is triggered by alert detection with a longer dwell time to minimize false alarms. This paper provides a design method for applying the alert-confirm detection to multifunctional radars. We find optimum dwell times and false alarm probabilities for each alert detection and confirm detection under the dual constraints of total false alarm probability and maximum allowable dwell time per position. These optimum values are expressed as a function of the mean new target appearance rate. The proposed alert-confirm detection increases the maximum detection range even with a shorter frame time than that of uniform scanning.

Gaze Detection by Computing Facial and Eye Movement (얼굴 및 눈동자 움직임에 의한 시선 위치 추적)

  • 박강령
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.2
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    • pp.79-88
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    • 2004
  • Gaze detection is to locate the position on a monitor screen where a user is looking by computer vision. Gaze detection systems have numerous fields of application. They are applicable to the man-machine interface for helping the handicapped to use computers and the view control in three dimensional simulation programs. In our work, we implement it with a computer vision system setting a IR-LED based single camera. To detect the gaze position, we locate facial features, which is effectively performed with IR-LED based camera and SVM(Support Vector Machine). When a user gazes at a position of monitor, we can compute the 3D positions of those features based on 3D rotation and translation estimation and affine transform. Finally, the gaze position by the facial movements is computed from the normal vector of the plane determined by those computed 3D positions of features. In addition, we use a trained neural network to detect the gaze position by eye's movement. As experimental results, we can obtain the facial and eye gaze position on a monitor and the gaze position accuracy between the computed positions and the real ones is about 4.8 cm of RMS error.

Rotor Position Estimation of 3-Phase PM BLDC Motor by 2Hall-IC, 1Hall-IC (2Hall-IC, 1Hall-IC를 이용한 PM BLDCM의 회전자 위치검출)

  • Lee, Byoung-Kuk;Kim, Yuen-Chung;Yoon, Yong-Ho;Kim, Hack-Seong;Won, Chung-Yuen;Chun, Jang-Sung
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.20 no.4
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    • pp.56-64
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    • 2006
  • Generally, Permanent Magnet Brushless DC Motor(PM BLDC) is necessary the Hall-IC to detect the rotor position. But it will take place the operation standstill of motor or error of rotor position detection according to the circumference temperature, humidity, or limited surroundings. This paper propose the algorithm of rotor position detection only using one or two Hall-IC. Therefore we can estimate information of the others phase in sequence through a rotor instead of using three Hall-IC at 3 phase motor. This paper identify the same characteristics, performance and function of protection circuit by the proposed algorithm with the 3 phase PM BLDC motor in comparison with general method.

Analysis of the Encoder Composite Signal for a Absolute Position Detection of the Permanent Magnet Type Synchronous Motor (영구자석형 동기전동기의 절대 위치 검출을 위한 엔코더 복합 신호의 분석)

  • Kim, Jin-Ae;Joo, Jae-Hun;Jeong, Se-Young;Choi, Jung-Keyng
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.10a
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    • pp.180-184
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    • 2007
  • For driving a sinusoidal type permanent magnet synchronous motor with a maximum continuous torque, a $120^0$ delayed three phase sinusoidal current input which matched with the absolute rotor position is needed at a stator coil. So, the detection of absolute rotor position is required inevitably. Thus the right angle relationship between stator magnetic field and rotor magnetic field has to be preserved at a stator by this commutation action. The detection of a absolute position for the commutation can be made generally by the output signal analysis of the encoder attached at a motor shaft. This study purposes to design signal processing logic circuits which can detect the absolute position of motor with a modem encoder system and generate the three reference wave for making sinusoidal current input at a stator coil.

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BLAC speed contol using precision Velocity Estimation through the Rotor Position ObservationR (관측 위치를 지령치로 하는 새로운 속도추정 알고리즘을 이용한 BLAC 속도제어)

  • Lee, Sang-Hun;Song, Hyin-Jig;Park, Chan-Kyu
    • Journal of the Korean Society of Industry Convergence
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    • v.17 no.3
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    • pp.93-102
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    • 2014
  • Recently the interest in permanent magnet alternating motor using for electric compressor become great. Especially the research on Interior Permanent Magnet Motor has been doing actively for its advantages in the energy density and the efficiency. In order to control the output of motor to the desired value, the current control or speed control of motor are required. The accurate detection of rotor position and speed information are necessary for the control of motor. In general, the encoder, hall sensor, and resolver are used to obtain the information of motor position and speed and the speed detection algorithm, M/T method, is applied. However, the M/T method causes the error depending on rotor speed. Therefore, this M/T speed detection method is not perfect. In this paper, it is proposed that the PI control with a 1st transfer function and the integration element between velocity and position are composed in series and this feeds back to the reference value of position angle. The proposed algorithm is a function of the integral elements 2nd term, speed element, is used as an output. Thus, it is possible to detect the correct speed by configuring like the mechanical structure similarly. The proposed algorithm is verified by using PSIM DLL and is applied to the BLAC motor drive. And also it is confirmed that this system estimates the accurate speed regardless of rotor speed changes. As a example, the experimental results and simulations shows that the proposed method is very effective.