Analysis and control of the motor vibration using arduino and machine learning model

Krishnaveni, S.; Raja, Sangeetha; Jayasankar, T.; Babu, P. Sathish

doi:10.1016/j.matpr.2020.11.261

Cited by 5 publications

(6 citation statements)

References 12 publications

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“…Збірник наукових праць ОДАТРЯ № 1 (22) визначеності. На прикладі моделювання розгону електродвигуна та вимірювання обертального моменту в цей період часу визначено ступінь належності регультатів вимірювань заданому інтервалу невизначеності за мінімальної вібрації, збільшення якої обумовлює зменшення ступіня належності.…”

Section: Transferfunction([1] [L R]) G2 = Ctrltransferfunction([k] [1...unclassified

“…Державний університет інтелектуальних технологій і зв'язкуЗбірник наукових праць ОДАТРЯ № 1(22) 2023 27Рисунок 1 -Структурна схема колекторного двигуна постійного струму, де д ЕРС -зворотна ЕРС двигуна; ,, ор M M Mмомент опору, рушійний момент, загальний момент прикладений до валу ротора; B -коефіцієнт тертя Програмний код для реалізації моделювання представлено нижче: import numpy as np import matplotlib.pyplot as plt import control as ctrl # Задаємо параметри системи L = 0.5 # Індуктивність R = 1.0 # Опір K = 0.3 # Коефіцієнт моменту сили J = 0.09 # Момент інерції B = 0.1 # Коефіцієнт тертя # Задаємо передатні функції G1 = ctrl.…”

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Estimation of Measuring Uncertainty of Electric Motors Torques Using the Theory of Fuzzy Sets

Kvasnikov,

Bratchenko,

Kvashuk

2023

Zb. nauk. pracʹ Odes. derž. akad. teh. regul. Âkostì

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The use of the theory of fuzzy variables in metrology opens up new opportunities for taking into account informal information about the sources of uncertainty in the measurement of various mechanical quantities. This is especially relevant when determining errors in the rotational parameters of electric motors. This article discusses a new approach to measurement accuracy assessment that goes beyond traditional measurement methods. In particular, attention is focused on the task of assessing the reliability range of measurements of rotational parameters of electric motors within a certain accuracy class. Each measurement is accompanied by an error that has both systematic and random components. Since the exact value of the measurement results cannot be known within the range that is limited by the accuracy class of the device, the article proposes to consider the true value of the measured value as a fuzzy variable, which allowed getting a better idea of the uncertainty of the measurement. In the article, an attempt was made to estimate the approximate accuracy of measurements of rotational parameters of electric motors using a specially developed membership function. The practical application of this method makes it possible to assess the reliability of measurements in different modes of operation of electrode benders. For a more detailed analysis of this problem, the article provides examples of solving similar problems using the theory of possibilities and the theory of fuzzy sets, which made it possible to better take into account the uncertainties of the rotational parameters of electric motors and determine further ways of developing this problem.

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Section: Transferfunction([1] [L R]) G2 = Ctrltransferfunction([k] [1...unclassified

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Estimation of Measuring Uncertainty of Electric Motors Torques Using the Theory of Fuzzy Sets

Kvasnikov,

Bratchenko,

Kvashuk

2023

Zb. nauk. pracʹ Odes. derž. akad. teh. regul. Âkostì

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“…The statistic memory is split into three components -32 registers of general purposes, input/output memory and internally static random access memory (SRAM). The I/O Memory and Internal SRAM measures vary from chip to chip, while the dimension of the General Purpose registers is fixed [9][10][11][12].…”

Section: Microcontrollermentioning

confidence: 99%

Smart Health Monitoring and Advisory System

Satheesbabu¹

2021

ITII

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Health has quintessential significance in our day to day life. Health is the degree of beneficial and metabolic efficiency of dwelling organisms..The motive of this task is to boost fitness alert machine for elders and bodily challenged people. The objective is to hint patient’s fitness with the help of sensors.”The Health Alert Scheme” can preserve track of patient’s pulse rate, eco heart rate of, pressure stage rate, temperature via the usage of the respective sensors. The Sensors are interfaced with the controller Arduino UNO board. The Arduino microcontroller which is used for processing the data. The computerized messages to preserve their food plan is additionally send to their caretakers. Once fitness problem is detected, call signals are send to the caretakers. This is the best way to display the sufferers for the medical doctors from any area at anytime.

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“…There are a variety of reports on MEMS accelerometers for measuring vibrations. Some of these include circuits with analog output from the company Analog Devices such as ADXL335 [16], [63]- [65], [72], [73], [76], ADXL356 [66], ADXL322 [68], and ADXL203 [77]; those of NXP USA Inc., such as MMA6270QT of [62], and MMA7260Q [43]. Various researchers have also employed those having digital output, some from Analog Devices: ADXL345 [16], [63], [65], [67], [74], and ADXL355 [73]; those of NXP which includes the MMA8451Q [75], and the FXLS8471Q [70]; the LSM6DS3TR of STMicroelectronics [71]; and TDK's MPU-6050 [63], [65], [78].…”

Section: Introductionmentioning

confidence: 99%

Implementation in Microcontrollers of an Algorithm for the Simple Generation of Speed Profiles in a Stepper Motor and Their Associated Kinematics

Fonseca-Campos,

Reyes-Ramírez,

Mata-Machuca

et al. 2023

IEEE Access

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Electric motors are the most widely used actuators for converting electrical to mechanical energy. Stepper motors perform various automated tasks because their position control is accurate. The operation of these devices at high speeds reduces the time required to perform automated operations. However, this can create inconveniences such as loss or excess of steps, with a consequent positioning error. Controlling the motor using a speed profile is the most commonly employed technique for avoiding this problem. Its generation usually requires hardware with high computing power, such as digital signal processors or field programmable gate arrays, and algorithms requiring specifications not published in the motor datasheet. In this study, we implemented an algorithm to simplify the generation of speed profiles. In the acceleration and deceleration regions, the velocity follows a logarithmic, quasi-linear, quadratic, or sinusoidal pattern. The algorithm provides position and time arrays. The speed and acceleration can be calculated in terms of time using numerical derivatives. The simulation results were validated using two microcontrollers to control a stepper motor programmed on Arduino and Micropython platforms. Experimental measurements using an encoder, gyroscope, and accelerometer validated the kinematic response of the stepper motor. These values are in a good agreement with the simulation results.

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Analysis and control of the motor vibration using arduino and machine learning model

Cited by 5 publications

References 12 publications

Estimation of Measuring Uncertainty of Electric Motors Torques Using the Theory of Fuzzy Sets

Estimation of Measuring Uncertainty of Electric Motors Torques Using the Theory of Fuzzy Sets

Smart Health Monitoring and Advisory System

Implementation in Microcontrollers of an Algorithm for the Simple Generation of Speed Profiles in a Stepper Motor and Their Associated Kinematics

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