Sensor for High Speed, High Precision Measurement of 2-D Positions

Luna, Carlos; Lázaro, José; Mazo, Manuel; Cano, Ángel E.

doi:10.3390/s91108810

Cited by 5 publications

(7 citation statements)

References 11 publications

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“…where ω d is the angular velocity of the wheel (rad/s). Substituting (2) into (1), the dynamic model of the locomotive wheel is…”

Section: Description Of the Wheel-rail System Of The Hhelmentioning

confidence: 99%

“…Advanced sensor is one of the essential components of the HHEL control system. The high-precision sensor can accurately monitor, quickly feedback, and be insensitive to external disturbances, which effectively improves the performance of the control system [2]. Therefore, an advanced adhesion coefficient sensor is necessary to enable the HHEL to achieve optimal adhesion control and exert maximize traction.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Online Accurate Estimation of the Wheel-Rail Adhesion Coefficient and Optimal Adhesion Antiskid Control of Heavy-Haul Electric Locomotives Based on Asymmetric Barrier Lyapunov Function

Zhao

Zhang

et al. 2018

Journal of Sensors

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This paper proposes a new scheme of online accurate estimation of wheel-rail adhesion coefficient and optimal adhesion antiskid control of heavy-haul electric locomotives (HHEL) based on sliding mode and asymmetric barrier Lyapunov function (ABLF) theory. To achieve optimal adhesion control of the HHEL, it is necessary to precisely estimate the wheel-rail adhesion coefficient. However, the adhesion coefficient is difficult to be measured with a conventional physical sensor. The first novelty of this paper is to design a smart adhesion coefficient sensor based on sliding mode observer (SMO). The perception of the adhesion coefficient is transformed into the observation of load torque of the traction motors, and the wheel-rail adhesion coefficient is further calculated by using the load torque observed value. The HHEL achieves maximum traction from operating in the optimal adhesion point. However, wheel skidding is most likely to occur at this point. According to the changing trend of the adhesive coefficient characteristic curve, the operating state of a locomotive can be divided into two regions: the stable and skid regions. The second novelty of this paper is the adaptation of ABLF to guarantee that the HHEL operated at a stable region and the optimal adhesion antiskid control of HHEL is achieved. Finally, the simulation and experimental results verify the feasibility and effectiveness of the proposed method.

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“…where ω d is the angular velocity of the wheel (rad/s). Substituting (2) into (1), the dynamic model of the locomotive wheel is…”

Section: Description Of the Wheel-rail System Of The Hhelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Online Accurate Estimation of the Wheel-Rail Adhesion Coefficient and Optimal Adhesion Antiskid Control of Heavy-Haul Electric Locomotives Based on Asymmetric Barrier Lyapunov Function

Zhao

Zhang

et al. 2018

Journal of Sensors

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show abstract

“…, , , H, and are the fixed variables for an image while the line parameter, m, is also a fixed variable. The least square approach can be defined as , where J is the quadratic performance index and (5) In this research, the specifications of this camera (DH-HV2003UC) are as follows. , , ,…”

Section: Mathematical Preliminarymentioning

confidence: 99%

“…Some used more than one camera so as to establish the position information of an object [1][2][3][4]. Luna et al studied a system to measure the 2-D position of an object that intercepts a plane in space [5]. Zhou proposed an algorithm to the ground-based object positioning from video stream by single camera equipped in unmanned aerial vehicle (UAV).…”

Section: Introductionmentioning

confidence: 99%

Study on Target Positioning Systems Based on Image Geometry

Young¹,

Huang²

2015

Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference

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This study aims at developing an approach to the target positioning systems form images captured by camera based on its image geometry. This approach consists of the coordinate transformation between camera film coordinate system and fixed coordinate system, image geometry analysis, distribution analysis of CCD array, least mean square error (LMS) algorithm, etc. This paper also provides an associated algorithm to facilitate the proposed approach. A down scaled experiment will be set up to verify the results through the proposed approach. The results show that the proposed approach is feasible in achieving target positioning.

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“…Richa et al presented an efficient approach for heart surgery by using stereo images from a calibrated stereo endoscope in medical application [3]. Luna et al have studied a sensor system to measure the 2-D position of an object that intercepts a plane in space [5]. However, it may be laden to equip with two or more cameras in some applications.…”

Section: Introductionmentioning

confidence: 99%

Lane Detection via Object Positioning Systems Based on CCD Array Geometry

Young

2016

Inventions

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This paper presents an approach to lane detection for a vehicle. The positions of the lane marks can be evaluated by visual information of the image captured from a single charge-coupled device (CCD) camera. This proposed approach originally utilizes the properties of the CCD array in a camera to achieve the aim of objects positioning, since one pixel information produces two equations and increases one unknown variable. After camera calibration, this approach can therefore evaluate the intrinsic parameters of a camera from more pixel information. The configuration of the CCD chip cells is the key factor in this approach. The pixels of a resulting image directly reflect the geometry of the CCD cell, or the CCD array, in the camera. According to the attitude of the camera, this paper constructs the coordinate transformation that can resolve the geometrical relations between the film coordinate (the CCD array) and a fixed coordinate. This paper also provides associated techniques to facilitate the proposed approach, including image geometry analysis, distribution analysis of the CCD array, least mean square error (LMS) algorithm, etc. A down scaled experiment for lane detection is used to verify the feasibility of the proposed approach. The results show that the proposed approach is able to achieve object positioning.

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Sensor for High Speed, High Precision Measurement of 2-D Positions

Cited by 5 publications

References 11 publications

Online Accurate Estimation of the Wheel-Rail Adhesion Coefficient and Optimal Adhesion Antiskid Control of Heavy-Haul Electric Locomotives Based on Asymmetric Barrier Lyapunov Function

Online Accurate Estimation of the Wheel-Rail Adhesion Coefficient and Optimal Adhesion Antiskid Control of Heavy-Haul Electric Locomotives Based on Asymmetric Barrier Lyapunov Function

Study on Target Positioning Systems Based on Image Geometry

Lane Detection via Object Positioning Systems Based on CCD Array Geometry

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