FEATURES OF THE ANGULAR SPEED DYNAMIC MEASUREMENTS WITH THE USE OF AN ENCODER
Vasyl Kukharchuk
Vinnytsia National Technical University (Ukraine)
http://orcid.org/0000-0001-9920-2726
Waldemar Wójcik
Lublin University of Technology (Poland)
http://orcid.org/0000-0002-6473-9627
Sergii Pavlov
psv@vntu.edu.uaVinnytsia National Technical University (Ukraine)
http://orcid.org/0000-0002-0051-5560
Samoil Katsyv
Vinnytsia National Technical University (Ukraine)
http://orcid.org/0000-0003-1375-5229
Volodymyr Holodiuk
Vinnytsia National Technical University (Ukraine)
http://orcid.org/0000-0002-2449-5488
Oleksandr Reyda
Vinnytsia National Technical University (Ukraine)
http://orcid.org/0000-0001-8231-6268
Ainur Kozbakova
Almaty Technological University (Kazakhstan)
http://orcid.org/0000-0002-5213-4882
Gaukhar Borankulova
Taraz Regional University M. Kh. Dulaty (Kazakhstan)
http://orcid.org/0000-0001-5701-8074
Abstract
Based on the most significant features of the angular velocity dynamic measurements selected by the authors, the main phases of measuring information transformation were established, which allowed to obtain new mathematical models in the form of transformation function, equations for estimating quantization errors, analytical dependences for measuring range that are initial for modeling physical processes occurring in such digital measuring channels with microprocessor control. The process of converting an analog quantity into a binary code is analytically described, an equation for estimating the absolute and relative quantization error is obtained and a measurement range is established, which provides a normalized value of relative quantization error for angular velocity measuring channels with encoder. For the first time, the equation of sampling error was obtained, and it was proved that the limiting factor of the angular velocity measurements upper limit is not only the normalized value of quantization error, as previously thought, but also the value of sampling frequency fD. Therefore, to expand the measurement range (by increasing the upper limit of measurement), it is proposed not only to increase the speed of analog-to-digital conversion hardware, but also to reduce the execution time of software drivers for transmitting measurement information to RAM of microprocessor system. For this purpose, the analytical dependences of estimating the upper limit of measurement based on the value of the sampling step for different modes of measurement information transmission are obtained. The practical implementation of the software mode measurement information transmission is characterized by a minimum of hardware costs and maximum execution time of the software driver, which explains its low speed, and therefore provides a minimum value of the upper limit measurement. In the interrupt mode, the upper limit value of the angular velocity measurement is higher than in the program mode due to the reduction of the software driver’s execution time (tFl = 0). The maximum value of the angular velocity measurements upper limit can be achieved using the measurement information transmission in the mode of direct access to memory (DMA) by providing maximum speed in this mode (tFl = 0, tDR = 0). In addition, the application of the results obtained in the work allows at the design stage (during physical and mathematical modeling) to assess the basic metrological characteristics of the measuring channel, aimed at reducing the development time and debugging of hardware, software, and standardization of their metrological characteristics.
Keywords:
angular velocity, encoder, quantization, sampling, angular velocity measuring system, transformation functionReferences
Azarov A. D. et al.: Class of numerical systems for pipe-line bit sequential development of multiple optoelectronic data streams. Proc. SPIE 4425, 2001, 406–409.
DOI: https://doi.org/10.1117/12.429761
Google Scholar
Azarov O. D. et al.: Static and dynamic characteristics of the self-calibrating multibit ADC analog components. Proc. SPIE 8698, 2012, 86980N.
DOI: https://doi.org/10.1117/12.2019737
Google Scholar
DSTU 2681-94. Metrology. Terms and definitions. Kyiv: State Standard of Ukraine, 1994.
Google Scholar
Kolobrodov V. G. et al.: Physical and mathematical model of the digital coherent optical spectrum analyzer. Optica Applicata 47(2), 2017, 273–282.
Google Scholar
Kolobrodov V. G. et al.: The diffraction limit of an optical spectrum analyzer. Proc. SPIE 9809, 2015, 98090F.
DOI: https://doi.org/10.1117/12.2228534
Google Scholar
Kukharchuk V. V. et al.: Discrete wavelet transformation in spectral analysis of vibration processes at hydropower units. Przegląd Elektrotechniczny 93(5), 2017, 65–68.
Google Scholar
Kukharchuk V. V. et al.: Information Conversion in Measuring Channels with Optoelectronic Sensors. Sensors 22(271), 2022.
DOI: https://doi.org/10.3390/s22010271
Google Scholar
Kukharchuk V. V. et al.: Method of magneto-elastic control of mechanic rigidity in assemblies of hydropower units. Proc. SPIE 10445, 2017, 104456A.
DOI: https://doi.org/10.1117/12.2280974
Google Scholar
Kukharchuk V. V. et al.: Noncontact method of temperature measurement based on the phenomenon of the luminophor temperature decreasing. Proc. SPIE 10031, 2016, 100312F.
DOI: https://doi.org/10.1117/12.2249358
Google Scholar
Kukharchuk V. V. et al.: Torque measuring channels: dynamic and static metrological characteristics. Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 3, 2020, 82–85.
DOI: https://doi.org/10.35784/iapgos.2080
Google Scholar
Kvyetnyy R. et al.: Modification of fractal coding algorithm by a combination of modern technologies and parallel computations. Proc. SPIE 9816, 2015, 98161R.
DOI: https://doi.org/10.1117/12.2229009
Google Scholar
Murzenko O., et al.: Application of a combined approach for predicting a peptide-protein binding affinity using regulatory regression methods with advance reduction of features. 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications IDAACS 2019, 1, 8924244, 431–435.
DOI: https://doi.org/10.1109/IDAACS.2019.8924244
Google Scholar
Ornatsky P. P.: Automatic measurements and instruments. Higher School, Kiev 1980.
Google Scholar
Ornatsky P. P.: Theoretical foundations of information and measurement technology. Higher school, Kiev 1983.
Google Scholar
Osadchuk A. et al.: Pressure transducer of the on the basis of reactive properties of transistor structure with negative resistance. Proc. SPIE 9816, 2015, 98161C.
DOI: https://doi.org/10.1117/12.2229211
Google Scholar
Ostafiev V. A. et al.: Laser diffraction method of surface roughness measurement. Journal of Materials Processing Technology 63(1–3), 1997, 871–874.
DOI: https://doi.org/10.1016/S0924-0136(96)02741-0
Google Scholar
Podzharenko V. O., Kukharchuk V. V.: Measurement and Computer Measurement Technology: A Tutorial. UMKVO, Kiev 1991.
Google Scholar
Sena L. A.: Units of physical quantities and their dimensions. Nauka, Moscow 1977.
Google Scholar
Trishch R. et al.: Methodology for multi-criteria assessment of working conditions as an object of qualimetry. Engineering Management in Production and Services 13(2), 2021, 107– 141.
DOI: https://doi.org/10.2478/emj-2021-0016
Google Scholar
Trishch R. et al.: Qualimetric method of assessing risks of low quality products. MM Science Journal 2021, 4769–4774.
DOI: https://doi.org/10.17973/MMSJ.2021_10_2021030
Google Scholar
Tymchik G. S. et al.: Diagnosis abnormalities of limb movement in disorders of the nervous system. Proc. SPIE 104453, 2017, 104453S.
DOI: https://doi.org/10.1117/12.2281000
Google Scholar
Tymchik G. S. et al.: Distortion of geometric elements in the transition from the imaginary to the real coordinate system of technological equipment. Proc. SPIE 10808, 2018, 108085C.
Google Scholar
Vedmitskyi Y. G. et al.: New non-system physical quantities for vibration monitoring of transient processes at hydropower facilities, integral vibratory accelerations. Przegląd Elektrotechniczny 95(3), 2017, 69–72.
DOI: https://doi.org/10.15199/48.2017.03.17
Google Scholar
Volodarsky E. T. et al.: Metrological support of measurements and control: A textbook. VSTU, Vinnytsia 2001.
Google Scholar
Authors
Vasyl KukharchukVinnytsia National Technical University Ukraine
http://orcid.org/0000-0001-9920-2726
Authors
Sergii Pavlovpsv@vntu.edu.ua
Vinnytsia National Technical University Ukraine
http://orcid.org/0000-0002-0051-5560
Authors
Samoil KatsyvVinnytsia National Technical University Ukraine
http://orcid.org/0000-0003-1375-5229
Authors
Volodymyr HolodiukVinnytsia National Technical University Ukraine
http://orcid.org/0000-0002-2449-5488
Authors
Oleksandr ReydaVinnytsia National Technical University Ukraine
http://orcid.org/0000-0001-8231-6268
Authors
Ainur KozbakovaAlmaty Technological University Kazakhstan
http://orcid.org/0000-0002-5213-4882
Authors
Gaukhar BorankulovaTaraz Regional University M. Kh. Dulaty Kazakhstan
http://orcid.org/0000-0001-5701-8074
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