Applications of magnetic sensors for low cost compass systems

2002 ◽  
Author(s):  
M.J. Caruso
Keyword(s):  
Low Cost ◽  
Magnetic Sensors

Design of a New Non-Contact Torque Sensor for Rotating Stepped Shaft by Monitoring Magnetic Field

2010 ◽  
Vol 44-47 ◽  
pp. 547-551 ◽  
Author(s):  
Gang Shi ◽  
Na Wang ◽  
Chong Du Cho
Keyword(s):  
Magnetic Field ◽  
Power Transmission ◽  
Low Cost ◽  
Time Algorithm ◽  
Magnetic Sensors ◽  
Torque Sensor ◽  
Rotating Shaft ◽  
Stepped Shaft ◽  
New Development ◽  
Contact Sensor

In this paper, a new non-contact sensor is presented for detecting torque of a rotating stepped shaft which is frequently employed in power transmission system. This sensor doesn’t require cutting or lengthening the rotating shaft. Torque value is obtained by using two magnetic sensors to sense magnetic field intensity of two permanent rubber magnets fixed at the outer surface of the shaft. The phase difference between these two induction signals is used to determine torque of the stepped shaft. A real-time algorithm based on LabVIEW is employed to obtain the measured torque value. The present work has demonstrated that non-contact torque measurement for rotating stepped shaft by monitoring magnetic field is feasible. It seems like that further development will result in low-cost torque sensor. It is hoped that this kind of sensor can lead to a new development direction of torque sensor for rotating shaft.

scholarly journals Investigation of a low-cost magneto-inductive magnetometer for space science applications

2017 ◽  
Author(s):  
Leonardo H. Regoli ◽  
Mark B. Moldwin ◽  
Matthew Pellioni ◽  
Bret Bronner ◽  
Kelsey Hite ◽  
...  
Keyword(s):  
Power Consumption ◽  
Linear Response ◽  
Low Cost ◽  
Magnetic Sensors ◽  
Low Power Consumption ◽  
The Novel ◽  
Noise Floor ◽  
Recent Developments ◽  
Measurement Principle ◽  
Low Amplitude

Abstract. A new sensor for measuring low-amplitude magnetic fields that is ideal for small spacecraft is presented. The novel measurement principle enables the fabrication of a low-cost sensor with low power consumption and with measuring capabilities that are comparable to recent developments for CubeSat applications. The current magnetometer, a software-modified version of a commercial sensor, is capable of detecting fields with amplitudes as low as 8.7 nT at 40 Hz and 2.7 nT at 1 Hz, with a noise floor of 500 pT/√(Hz) @ 1 Hz. The sensor has a linear response to less than 3 % over a range of ±100 000 nT. All of these features make the magneto-inductive principle a promising technology for the development of magnetic sensors for both space-borne and ground-based applications to study geomagnetic activity.

scholarly journals Circular Array of Magnetic Sensors for Current Measurement: Analysis for Error Caused by Position of Conductor

2018 ◽  
Author(s):  
Hao Yu ◽  
Qian Zheng ◽  
Huayi Liu ◽  
Jiaqi Qu
Keyword(s):  
Mathematical Model ◽  
Relative Error ◽  
Low Cost ◽  
Low Noise ◽  
Current Measurement ◽  
Magnetic Sensors ◽  
Circular Array ◽  
Measurement Analysis ◽  
Offset Distance ◽  
Earth Magnetic Field

This paper analyzes the measurement error, caused by the position of the current-carrying conductor, of circular array of magnetic sensors for current measurement. The circular array of magnetic sensors is an effective approach for AC or DC non-contact measurement, as its low cost, large linear range, wide bandwidth, light weight and low noise. Especially it has claimed that such structure has the excellent reduction ability for the errors caused by the position of the current-carrying conductor, crosstalk current interference, shape of the conduction cross section and the earth magnetic field. However, the positions of the current-carrying conductor, including un-center and un-perpendicularity, has not analyzed in detail until now. In this paper, the theoretical analysis has been proposed based on vector inner and exterior product. In the presented mathematical model of relative error, the un-center offset distance, the un-perpendicular angle, the radius of the circle and the number of the magnetic sensor are expressed in one equation. The comparison of the relative error caused by the position of the current-carrying conductor between four and eight sensors is conducted. The Tunnel Magnetoresistance (TMR) sensors are used in the experimental prototype to verify the mathematical model. The analysis results can be the reference to design the detail of circular array of magnetic sensors for current measurement in practical situation.

A Low Cost Attitude and Heading Reference System Based on a MEMS IMU for a T-Quadrotor

2011 ◽  
Author(s):  
Yangbo Long ◽  
Shi Bai ◽  
Paras Patel ◽  
David J. Cappelleri
Keyword(s):  
Kalman Filter ◽  
Reference System ◽  
Low Cost ◽  
Magnetic Sensors ◽  
Estimation Errors ◽  
Highly Nonlinear ◽  
Mems Gyroscopes ◽  
Vector Algorithms ◽  
Mems Imu ◽  
Acquisition Method

Combining signals from accelerometers and gyroscopes is a widely used way to estimate robot attitude. However, when using a Kalman filter in this case, the measurements are vulnerable to dynamic accelerations which will result in substantial attitude estimation errors. The attitude acquisition method presented in this paper takes an attitude quaternion as system measurements and uses a Kalman filter to fuse signals from MEMS gyroscopes, accelerometers and magnetic sensors. In order to remove the influence of dynamic accelerations, when dynamic accelerations are found to be significant, a Quaternion-based Strapdown Navigation System (Q-SINS) algorithm is only applied without the Kalman filtering. When the dynamic accelerations are not significant, both the Q-SINS and the Bi-vector algorithms are utilized and fused using the Kalman filter for improved system performance. Compared with some other highly nonlinear and complicated attitude algorithms, the Attitude and Heading Reference System (AHRS) proposed in this paper is computationally less expensive and more suitable for real-time applications.

scholarly journals Sensing technique of dynamic marine mammal's attitude by use of low-cost inertial and magnetic sensors

2010 ◽  
Vol 43 (20) ◽  
pp. 283-288 ◽  
Author(s):  
Hassen Fourati ◽  
Noureddine Manamanni ◽  
Lissan Afilal ◽  
Yves Handrich
Keyword(s):  
Low Cost ◽  
Magnetic Sensors

scholarly journals A Low-Cost On-Street Parking Management System Based on Bluetooth Beacons

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4559 ◽  
Author(s):  
Chi-Fang Chien ◽  
Hui-Tzu Chen ◽  
Chi-Yi Lin
Keyword(s):  
Management System ◽  
Low Cost ◽  
Distance Estimation ◽  
Magnetic Sensors ◽  
License Plate ◽  
City Governments ◽  
Human Labor ◽  
Parking Management ◽  
Information And Communication ◽  
Smart Parking

In recent years, many city governments around the world have begun to use information and communication technology to increase the management efficiency of on-street parking. Among various experimental smart parking projects, deployment of wireless magnetic sensors and smart parking meters are quite common. However, using wireless magnetic sensors can only detect the occupancy of parking spaces without the knowledge of who are currently using these parking spaces; human labor is still needed to issue the parking bills. In contrast, smart parking meters based on image recognition can detect the occupancy of parking spaces along with the license plate numbers, but the cost of deploying smart parking meters is relatively high. In this research, we investigate the feasibility of building an on-street parking management system mainly based on low-cost Bluetooth beacons. Specifically, beacon transmitters are installed in the vehicles, and beacon receivers are deployed along the roadside parking spaces. By processing the received beacon signals using Kalman filter, our system can detect the occupancy of parking spaces as well as the identification of the vehicles. Although distance estimation using the received signal strength is not accurate, our experiments show that it suffices for correct detection of parking occupancy.

scholarly journals Traffic Measurement and Vehicle Classification with Single Magnetic Sensor

2005 ◽  
Vol 1917 (1) ◽  
pp. 173-181 ◽  
Author(s):  
Sing Yiu Cheung ◽  
Sinem Coleri ◽  
Baris Dundar ◽  
Sumitra Ganesh ◽  
Chin-Woo Tan ◽  
...  
Keyword(s):  
Field Experiments ◽  
Low Cost ◽  
Magnetic Sensor ◽  
Magnetic Sensors ◽  
Sensor Data ◽  
Vehicle Classification ◽  
Traffic Measurement ◽  
Yield Information ◽  
Detection Capabilities ◽  
Better Than

Wireless magnetic sensor networks offer an attractive, low-cost alternative to inductive loops for traffic measurement in freeways and at intersections. In addition to providing vehicle count, occupancy, and speed, these sensors yield information (such as non-axle-based vehicle classification) that cannot be obtained from standard loop data. Because such networks can be deployed quickly, they can be used (and reused) for temporary traffic measurement. This paper reports the detection capabilities of magnetic sensors on the basis of two field experiments. The first experiment collected a 2-h trace of measurements on Hearst Avenue in Berkeley, California. The vehicle detection rate was better than 99% (100% for vehicles other than motorcycles), and estimates of average vehicle length and speed appear to have been better than 90%. The measurements also yield intervehicle spacing or headways, revealing interesting phenomena such as platoon formation downstream of a traffic signal. Results of the second experiment are preliminary. Sensor data from 37 passing vehicles at the same site are processed and classified into six types. Sixty percent of the vehicles are classified correctly when length is not used as a feature. The classification algorithm can be implemented in real time by the sensor node itself, in contrast to other methods based on high-scan-rate inductive loop signals, which require extensive off-line computation. It is believed that if length were used as a feature, 80% to 90% of vehicles would be correctly classified.

Anisotropic magnetoresistive sensors for control of additive manufacturing machines

2019 ◽  
Vol 86 (10) ◽  
pp. 609-618
Author(s):  
Benedikt Hampel ◽  
Marco Tollkühn ◽  
Meinhard Schilling
Keyword(s):  
Additive Manufacturing ◽  
Low Cost ◽  
Magnetic Sensors ◽  
Car Industry ◽  
Dimensional Measurements ◽  
3D Printers ◽  
3D Printed ◽  
Rotational Motions ◽  
Contact Position

AbstractMagnetic sensors are employed for dimensional measurements by detection of sensor motion relative to a small magnet. This is widely used everywhere in industrial automation, car industry and in many home appliances. The use of magnetic sensors in machines for additive manufacturing improves control and long term reliability by non contact position measurements. Magnetic sensors with linearized characteristic based on the anisotropic magnetoresistance (AMR) effect can replace mechanical switches, while specialized AMR angle sensors are preferred for the measurement of rotational motions. Both are easy to use and can be integrated with help of 3D printed holders at low cost. In this work, appropriate sensors are selected, integrated and discussed regarding magnetic disturbance signals apparent in low-cost 3D printers.

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