Calculating the dynamic error in measurement of electrohydromechanical system parameters, taking into account the operating speed of sensors

Abstract

It is necessary to ensure appropriate information content of the measuring instruments used for intelligent diagnosing systems of energy and technological complexes based on the measurement of dynamic parameters. Sensors and measuring equipment should possess sufficient accuracy, reliability, speed and consistency of performance. Types of sensors for measuring dynamic parameters are selected depending on the system’s structure. They can be, for example, sensors for the electrohydromechanical systems of these complexes, pressure sensors, as well as sensors of flow and temperature of the working media, displacement of moving elements and vibration of the base members. The type of sensor intended for use in the diagnostic system is largely determined by the dynamics of the processes taking place in it. It is necessary that the sensors satisfy their performance requirements. If the sensors have lower speed than is necessary for the process dynamics in the electrohydromechanical system, it can lead to dynamic measurement error and an error in the diagnostics of technical condition. In technical literature, the requirement for the sensor speed is indicated by the fact that it should be an order of magnitude higher than the dynamics of the processes occurring in the system. This approach is not acceptable for choosing the type of sensors for diagnostic systems, taking into account the process dynamics. Firstly, sensors for measuring with this required parameter may not be available. Secondly, even if there is a sensor with a parameter close in speed to the dynamics of the system processes, it is necessary to know in advance what dynamic error it can lead to and how it will affect the accuracy of the diagnostic system. An analytically generalized dependence of the dynamic measurement error of electrohydromechanical system parameters on the relative sensor speed is obtained in this paper. This dependence allows you to choose a sensor with a dynamic error that does not exceed a given value. The calculation of the dynamic measurement error is shown using the MI-8 helicopter hydraulic system as an example.

About the authors

A. M. Gareyev

Samara National Research University

Author for correspondence.
Email: gareyev@ssau.ru

Candidate of Science (Engineering),
Associate Professor of the Department of Aircraft Maintenance

Russian Federation

A. G. Gimadiev

Samara National Research University

Email: gimadiev_ag@mail.ru

Doctor of Science (Engineering),
Professor of the Department of Power Plant Automatic System

Russian Federation

D. M. Stadnik

Samara National Research University

Email: sdm-63@bk.ru

Candidate of Science (Engineering),
Associate Professor of the Department of Power Plant Automatic System

Russian Federation

I. A. Popelnyuk

Samara National Research University

Email: iap@ssau.ru

Assistant Lecturer of the Department of Aircraft Maintenance

Russian Federation

References

  1. Gorish A.V., Dmitrienko A.G., Pivkin A.G. Problems of creating sensor equipment for measuring, monitoring, controlling and diagnosing physical parameters. Proceedings of the International Symposium «Reliability and Quality». 2013. V. 2. P. 48-53. (In Russ.)
  2. Abramenko T.V., Gorish A.V., Kirilov A.B. General principles for the construction of sensor equipment for measuring various physical parameters. Proceedings of the International Symposium «Reliability and Quality». 2002. V. 1. P. 202-204. (In Russ.)
  3. Yurasova E.V., Bizyaev M.N., Volosnikov A.S. General approaches to dynamic measurements error correction based on the sensor model. Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control, Radio Electronics. 2016. V. 16, no. 1. P. 64-80. (In Russ.). doi: 10.14529/ctcr160106
  4. Kuznetsov F.I. Minimising dynamic errors in the sensor systems of monitoring and control in real time. Izvestiya SFedU. Engineering Sciences. 2014. No. 4 (153). P. 63-69. (In Russ.)
  5. Lyashenko A.V. Information-measuring system for rotor speed of rotation control of turbo generator booster engine. Measuring. Monitoring. Management. Control. 2016. No. 1 (15). P. 37-42. (In Russ.)
  6. Liansheng L., Datong L., Zhang Y., Peng Y. Effective sensor selection and data anomaly detection for condition monitoring of aircraft engines. Sensors. 2016. V. 16, Iss. 5. doi: 10.3390/s16050623
  7. Yang S., Qiu J., Liu G. Sensor optimization selection model based on testability constraint. Chinese Journal of Aeronautics. 2012. V. 25, Iss. 2. P. 262-268. doi: 10.1016/S1000-9361(11)60386-5
  8. Cheng S., Azarian M.H., Pecht M.G. Sensor systems for prognostics and health management. Sensors. 2010. V. 10, Iss. 6. P. 5774-5797. doi: 10.3390/s100605774
  9. Guan F., Cui W.-W., Li L.-F, Wu J. A comprehensive evaluation method of sensor selection for PHM based on grey clustering. Sensors. 2020. V. 20, Iss. 6. doi: 10.3390/s20061710
  10. Jung D., Dong Y., Frisk E., Krysander M., Biswas G. Sensor selection for fault diagnosis in uncertain systems. International Journal of Control. 2020. V. 93, Iss. 3. P. 629-639. doi: 10.1080/00207179.2018.1484171
  11. Nesci A., De Martin A., Jacazio G., Sorli M. Detection and prognosis of propagating faults in flight control actuators for helicopters. Aerospace. 2020. V. 7, Iss. 3. doi: 10.3390/aerospace7030020
  12. Kim D.P. Teoriya avtomaticheskogo upravleniya. T. 1. Lineynye sistemy [Theory of automatic control. V. 1. Linear systems]. Мoscow: FIZMATLIT Publ., 2016. 312 p.
  13. Andryushin A.V., Sabanin V.R., Smirnov N.I. Upravlenie i innovatika v teploenergetike [Control and innovation in heat power engineering]. Moscow: Izdatel'skiy Dom MEI Publ., 2011. 392 p.

Statistics

Views

Abstract: 445

PDF (Russian): 325

Dimensions

PlumX

Refbacks

  • There are currently no refbacks.

Copyright (c) 2020 VESTNIK of Samara University. Aerospace and Mechanical Engineering

License URL: https://journals.ssau.ru/index.php/vestnik/about/editorialPolicies#custom-2

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies