ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)
Menu

12
Issue
vol 63 / December, 2020
Article

DOI 10.17586/0021-3454-2020-63-3-213-221

UDC 681.5.01:658.5

Improving the Accuracy of Compensation for Nonlinear Elements of Control Systems

D. . Savelyev
Komsomolsk-na-Amure State University, Department of Electric Drive and Automation of Industrial Installations; Head of the Center for Robotics;


S. P. Cherny
Komsomolsk-na-Amure State University, Department of Electric Drive and Automation of Industrial Installations; Head of the Department;


V. A. Solovyov
Komsomolsk-na-Amure State University, Department of Electric Drive and Automation of Industrial Installations;


Read the full article 

Abstract. Principles of multi-stage control and methods for compensating for nonlinearities of static nonlinear elements of automatic control systems are studied. Due to the fact that in the case of complex nonlinear elements, compensation using only one of the known compensation methods does not always reduce the system error to the desired value, a new solution is proposed - a compensation method based on the principle of multi-stage control, which almost completely reduces the error to zero. Specific of tuning intelligent systems based on the theory of fuzzy sets to solve the problem of compensating for natural and artificial nonlinearities are described. The influence of various algorithms of fuzzy inference when implementing multi-stage fuzzy control technology to compensate for nonlinearities of various types, is analyzed.
Keywords: automatic control systems, software system, compensation for nonlinear elements, fuzzy logic, intelligent system, fuzzy logic controller, program complex, intelligent module

References:

 

  1. Khlypalo E.I. Nelineynyye korrektiruyushchiye ustroystva v avtomaticheskikh sistemakh (Nonlinear Correction Devices in Automatic Systems), Leningrad, 1973, 344 р. (in Russ.)
  2. Gudim A.S., Solovev V.A., Zaychenko I.V. Information Science and Control Systems, 2005, no. 2, pp. 89–101. (in Russ.)
  3. Cherny S.P., Soloviev V.A. Proc. Intern. Conf. on Industrial Engineering, Applications and Manufacturing (ICIEAM), 2017.
  4. Cherny S.P., Bichaev I.E. Elektrotekhnicheskiye kompleksy i sistemy upravleniya, 2014, no. 1(33), pp47–54. (in Russ.)
  5. Savelyev D.O., Gudim A.S., Cherny S.P, Sukhorukov S.I. Elektrotekhnicheskiye kompleksy i sistemy upravleniya, 2015, no. 1, pp. 35–42. (in Russ.)
  6. Savelyev D.O., Gudim A.S. Proc. Intern. Multi-Conf. on Industrial Engineering and Modern Technologies (FarEastCon), Vladivostok, 2018, рр. 1–4. DOI: 10.1109/FarEastCon.2018.8602829.
  7. Savelyev D.O., Gudim A.S., Cherny S.P. Information Science and Control Systems, 2014, no. 4(42), pp. 149–158. (in Russ.)
  8. Savelyev D.O., Cherny S.P. Proizvodstvennyye tekhnologii budushchego ot sozdaniya k vnedreniyu (Production Technologies of the Future from Creation to Implementation), Materials of Intern. Sci.-Pract. Conf., Komsomolsk-on-Amur, 2018, рр. 165–168. (in Russ.)
  9. Savelyev D.O., Cherny S.P. Elektroprivod na transporte i v promyshlennosti (Electric drive in transport and industry), Proc. of the II All-Russian Sci.-Pract. Conf., Khabarovsk, рр. 276–279.
  10. Savelyev D.O., Gudim A.S., Cherny S.P. Proc. Intern. Multi-Conf. on Industrial Engineering and Modern Technologies (FarEastCon), Vladivostok, 2019, рр. 1–4. DOI: 10.1109/FarEastCon.2019.8933905.
  11. Savelyev D.O., Gudim A.S., Khrul'kov V.N. Proizvodstvennyye tekhnologii budushchego ot sozdaniya k vnedreniyu (Production Technologies of the Future from Creation to Implementation), Materials of Intern. Sci.-Pract. Conf., Komsomolsk-on-Amur, 2017, рр. 128–131. (in Russ.)
  12. Savelyev D.O., Gudim A.S., Solovev D.B. Proc. Intern. Multi-Conf. on Industrial Engineering and Modern Technologies (FarEastCon), Vladivostok, 2019, рр. 1–4. DOI: 10.1109/EastConf.2019.8725324.
  13. Piegat A. Fuzzy modeling and control, Berlin, Heidelberg, Springer-Verlag, 2001.
  14. Mamdani E.H., Assilian S. Intern. Journal Man-Machine Studies, 1975, no. 1(7), pp. 1–13.
  15. Piegat A., Jaszczak S., Pluciriski M. Proc. of the Intern. Symp. on Methods and Models in Automation and Robotics, MMAR'96, Miedzyzdroje, Poland, 1996, vol. 3, рр. 1195–1200.