Novel Structure of a Solid Rotary Inverter Sensor for Speed Measurement of Vehicles

Accurate speed measurement and running records are integral to ensure safety and periodic maintenance of vehicles. This paper presents a novel structure of a solid rotary inverter (DAC) sensor for linear speed measurement of vehicles by eliminating reliance on magnets, coils, armatures, and toothed...

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Bibliographic Details
Published in:IEEE access 2024, Vol.12, p.15321-15329
Main Authors: Javed, Faheem, Ullah, Zahid, Kamal, Mohsin
Format: Article
Language:English
Subjects:
A C motors
Angular velocity
Coils
Design parameters
Electric potential
Electric power systems
Harmonic control
Harmonic distortion
inverter
Inverters
Machine learning
Magnets
Motor armatures
Rotation measurement
Sensors
Shafts
Solid shaft
Solids
speedometer sensor
Stability analysis
system modeling
total harmonic distortion
Vehicles
Velocity control
Voltage
Wheels
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Summary:Accurate speed measurement and running records are integral to ensure safety and periodic maintenance of vehicles. This paper presents a novel structure of a solid rotary inverter (DAC) sensor for linear speed measurement of vehicles by eliminating reliance on magnets, coils, armatures, and toothed rings. The electromechanical sensor is exited through the vehicle's DC power from the battery and utilizes a specially designed solid rotary part that is rotated mechanically by the wheel, enabling conversion of the DC into three-phase AC. The frequency of the produced AC voltage is proportional to the rotation speed. The three-phase alternating voltage is then used to run an analog speedometer gauge (a three-phase AC motor) to display the linear speed. The study determines stability analysis and response assessment by modeling a novel electromechanical rotational system and then evaluating its optimal design parameters. Real-time output voltage data from the sensor is acquired using a Rohde & Schwarz RTM 2034 oscilloscope and processed in MATLAB R2022b for frequency analysis. Experimental tests are conducted in a laboratory setting, varying the rotational speed sweep of the sensor from 150 to 450 RPM and translating the results into linear speed. A machine learning regression technique is applied to features such as shaft rotational speed, angular velocity, frequency, and period with linear speed. The obtained results reveal a total harmonic distortion (THD) value of −28.9778 dB (3.557%), meeting the criteria outlined in the IEEE 519-2014 "Recommended Practice and Requirements for Harmonic Control in Electric Power Systems."
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2024.3357978