Estimation of Wheel Angular Velocity using Encoder and Tachometer
2022 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE credits
Student thesis
Abstract [en]
Context: Accurate measurement and control of angular velocity are essential for the operation of machines that rely on rotational motion. This thesis investigates the measurement, calculation, and analysis ofthe angular velocity of a rotary device using two sensors: an encoder and a tachometer.
Problem statement and Objectives: The primary objective of this study is to perform an estimation analysis using a National Instruments DAQ to measure the RPM of a motor using a tachometer (analog source) and compare it with the encoder value received from the motor encoder connected to an Arduino. The goal is to validate the hypothesis that both methods provide reliable measurements of rotational speed.
Methods: The experimental setup involves controlling a motor withan Arduino, measuring its speed using an encoder, and comparing it with tachometer readings processed through MATLAB. The encoder provides digital output, while the tachometer provides analog readings, which are converted to digital signals using the DAQ system.
Solution: The results showed a 6 percent discrepancy between the encoder and tachometer readings, with the tachometer consistently recording slightly higher RPM values than the encoder. This discrepancy is attributed to the analog nature of the tachometer and the mechanical response lag of the motor.
Conclusions: The experiment successfully demonstrated the use of both an encoder and a tachometer to measure the angular velocity of a motor. Both methods proved to be reliable within acceptable limits for this experimental setup. Future work may involve refining the system under varying environmental conditions and exploring other sensor types for measuring angular velocity.
Place, publisher, year, edition, pages
2022. , p. 32
Keywords [en]
Angular velocity, Encoder, Tachometer, Estimation analysis, Strategic release planning
National Category
Communication Systems Signal Processing
Identifiers
URN: urn:nbn:se:bth-27856OAI: oai:DiVA.org:bth-27856DiVA, id: diva2:1958920
Subject / course
ET1464 Degree Project in Electrical Engineering
Educational program
ETGDB Bachelor Qualification Plan in Electrical Engineering 60,0 hp
Presentation
2022-06-11, Zoom (Online), Karlskrona, 13:20 (English)
Supervisors
Examiners
2025-06-022025-05-162025-09-30Bibliographically approved