position sensor
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2022 ◽  
Author(s):  
Thi Hong Hiep Le ◽  
Thanh Son Pham ◽  
Bui Xuan Khuyen ◽  
Bui Son Tung ◽  
Quang Minh Ngo ◽  
...  

Abstract In this work, we investigate the propagation of magneto-inductive waves (MIWs) in ordering magnetic metamaterial (MM) structures. The proposed non-homogeneous MM slab consists of 9 × 9 MM unit cells constructed from a five-turn spiral embedded on an FR-4 substrate. External capacitors with the value of 40 pF or 50 pF were added to control the resonant frequency of each unit cell in accordance with the waveguide configurations. The characteristics of metamaterial structures, such as negative permeability, current ratio, transmission response, and field distribution in the waveguide, have been thoroughly analyzed by simulation and experiment. Because of the strong magnetic field confinement in the waveguide, the transmittance after nine elements of the non-homogeneous MM slab is 5.2 times greater than that of the homogeneous MM slab. This structure can be applied to the planar near-field wireless power transfer, position sensor, and low-frequency communication.


2021 ◽  
Vol 57 (2) ◽  
pp. 025011
Author(s):  
P A Paixão ◽  
V M C Remonatto ◽  
L B Calheiro ◽  
D D Dos Reis ◽  
A M B Goncalves

Abstract Here, we present a 3D printed experimental apparatus that students can use to acquire interference and diffraction quantitative data from light passing through a single or double-slit experiment. We built a linear screw stage with a multiturn potentiometer connected to its leadscrew as a position sensor. Using an Arduino, we collected light intensity data (from a photodiode mounted in the linear stage) as a function of position. The apparatus is a low-cost and compact alternative with data acquisition to optics physics laboratories.


Technologic ◽  
2021 ◽  
Vol 12 (2) ◽  
Author(s):  
Gigih Pramudito ◽  
Lea Nika Fibriani ◽  
Syahroni Syahroni

Berkembangnya teknologi membuat mesin kendaraan sekarang menggunakan sistem injeksi yang dilengkapi dengan berbagai komponen dan sensor untuk mendukung proses pembakaran di ruang mesin. Salah satunya yaitu TPS (Throttle Position Sensor). Sensor TP berfungsi untuk mendeteksi adanya perubahan posisi pada throttle gas. Adanya kerusakan pada sensor TP dapat mempengaruhi performa dari kendaraan. Umumnya pengecekan sensor TP dilakukan menggunakan multimeter yang tentunya sulit untuk dilakukan, karena posisi dari sensor TP yang sulit dijangkau. Maka dari itu dibutuhkan alat yang mampu digunakan untuk mengecek kondisi sensor TP secara efisien. TPS Checker merupakan alat yang digunakan untuk mengecek kondisi sensor TP melalui pengukuran tegangan pada input dan output sensor TP serta hambatannya sesuai dengan kondisi bukaan throttle gas. Hasil pengukuran didapat dari rumus pembagi tegangan (voltage divider). Alat TPS checker dibuat dengan menggunakan microcontroller ESP32 yang dapat dihubungkan dengan smartphone untuk menampilkan hasil pengukuran secara real-time melalui aplikasi Blynk serta dilengkapi fitur reset untuk menghapus data kerusakan yang sudah terdeteksi dan tersimpan di Engine Control Unit (ECU). TPS Checker dapat digunakan untuk mengukur sensor TP pada seluruh kendaraan injeksi, namun penulis melakukan pengujian TPS Checker menggunakan sepeda motor Honda Revo PGM-FI. Setiap tipe kendaraan memiliki standar pengukuran yang berbeda-beda. Standar pengukuran pada motor Honda Revo PGM-FI yaitu tegangan sensor TP sebesar 4,75V – 5,25V dan hambatan berada pada rentang 0 – 5K Ohm. Dari hasil pengujian TPS Checker dapat disimpulkan bahwa alat ini mampu digunakan untuk melakukan pengukuran pada sensor TP serta menghapus kode kerusakan pada sepeda motor Honda Revo PGM-FI.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jie Zhou ◽  
Markus Dietrich ◽  
Paul Walden ◽  
Johannes Kolb ◽  
Martin Doppelbauer

Abstract A new compensation method of harmonic distortions by using Atan2 function is introduced in this paper. It provides a simple online calibration function to determine the parameters of harmonic distortions. Thus, it can be implemented in a microcontroller with less computational capacity and can increase the accuracy of a low-cost angle position sensor for automotive applications.


2021 ◽  
Author(s):  
Jinlong Wang ◽  
SHUO ZHANG ◽  
Tian Chen ◽  
Yingru Wang ◽  
Jingchao Liu ◽  
...  

2021 ◽  
Author(s):  
Ji Myong Choe ◽  
Nam Chol Yu ◽  
Nam Jin Ri ◽  
Mu Song An ◽  
Un Chol Kim

Abstract Absolute rotary angular /position sensors play an important role in various applications and rapid development of new technologies requires further accurate measurement and control. In this paper, a novel, very simple, low-cost and high accurate absolute rotary angular/ position sensor is presented. The sensor operation is based on the combination of circular gradient gray scale and gray code pattern. A simple experiment is done in order to demonstrate proof of concept of proposed sensor. The experimental results show that the proposed absolute rotary angular/position sensor has excellent linear characteristics with accuracy below ±1° and resolution of 0.1° within the full measurement range from 0° to 360°. The proposed idea and experimental results can be helpful to design absolute rotary angular/position sensor to improve performance of it.


2021 ◽  
Author(s):  
Luigi Danilo Tornello ◽  
Giacomo Scelba ◽  
Giulio De Donato ◽  
Fabio Giulii Capponi ◽  
Giuseppe Scarcella ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6631
Author(s):  
Eduard Cazacu ◽  
Coen van der Grinten ◽  
Jeroen Bax ◽  
Guus Baeten ◽  
Fred Holtkamp ◽  
...  

A position sensing glove called SmartScan, which creates a 3D virtual model of a real object, is presented. The data from the glove is processed by a volume minimization algorithm to validate the position sensor data. This allows only data from the object’s surface to be retained. The data validation algorithm allows the user to progressively improve an image by repeatedly moving their hand over the object. In addition, the user can choose their own balance between feature resolution and invalid data rejection. The SmartScan glove is tested on a foot model and is shown to be robust against motion artifacts, having a mean accuracy of 2.9 mm (compared to a 3D model generated from optical imaging) without calibration.


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