Preview

Advanced Engineering Research (Rostov-on-Don)

Advanced search

FUZZY ADAPTIVE CONTROL OF GRAIN COMBINE

Abstract

The solution to the problem on the adaptive control of the motion path and combine tools loading based on fuzzy logic inference is considered. The problem formalization of the fuzzy combine control under the frequently changing operation conditions is resulted. The linguistic variables which characterize the control parameters and the “inputs-output” dependence surface and conform to the production synthesized fuzzy system are presented. The term-set parameters of the linguistic variables and membership functions for the fuzzy multivariable adaptive control system of the grain combine are described. The fuzzy microcontroller simulation model implemented in MatLab Simulink system with Fuzzy Logic Toolbox is presented. The simulation results are given. The presented rule base and inference mechanism form the basis of the multivariable adaptive fuzzy control system of the grain combine.

About the Authors

Dmitry Yakovlevich Parshin
Don State Technical University.
Russian Federation


Denis Gennadyevich Shevchuk
Don State Technical University.
Russian Federation


References

1. Borisova, L.V. Prinyatiye resheniy po tekhnicheskoy regulirovke kombayna na osnove nechetkogo logicheskogo vyvoda. [Decision making on harvester service adjustment based on fuzzy inference.] Vestnik of Don State Tech. University, 2007, vol. 7, no. 3, pp. 292–298 (in Russian).

2. Borisova, L.V., Serbulova, N.M., Avilov, A.V. Nekotoryye aspekty resheniya zadachi po vyboru znacheniy reguliruyemykh parametrov kombayna na osnove nechetkikh znaniy. [Some aspects of problem solution on harvester controlled selection parameter values based on fuzzy knowledge.] Vestnik of Don State Tech. University, 2009, vol. 9, no. 4, pp. 691–696 (in Russian).

3. Dimitrov, V.P., Borisova, L.V. O formalizatsii zadachi tekhnicheskoy regulirovki kombayna. [On problem formalization of harvester service adjustment.] Vestnik of Don State Tech. University, 2008, vol. 8, no. 2, pp. 145–155 (in Russian).

4. Tugengold, A.K., Borisova, L.V., Dimitrov, V.P. Korrektirovka tekhnologicheskikh regulirovok na osnove nechetkogo logicheskogo vyvoda. [Technological adjustment updating on the basis of fuzzy logic conclusion.] Vestnik of Don State Tech. University, 2009, vol. 9, no. 3, pp. 419–426 (in Russian).

5. Parshin, D.Y., Shevchuk, D.G. Mnogometricheskaya sistema adaptivnogo upravleniya zernouborochnym kombaynom. [Multiparameter adaptive control system of grain combine.] Vestnik of Don State Tech. University, 2011, vol. 11, no. 10, pp. 1817–1823 (in Russian).

6. Shevchuk, D.G. Zernouborochnyy kombayn kak obyekt avtomaticheskogo upravleniya. [Grain combine as automatic control object.] Sostoyaniye i perspektivy razvitiya selskokhozyaystvennogo mashinostroyeniya. Proc. Int. Research and Practice Conf., 29 Feb. — 1 March, 2012. Rostov-on-Don, 2012, pp. 264–267 (in Russian).

7. Leonenkov, A.V. Nechetkoye modelirovaniye v srede MATLAB i fuzzyTECH. [Fuzzy modelling in MATLAB and fuzzy-TECH media.] St. Petersburg: BVKh-Peterburg, 2005, 736 p. (in Russian).

8. Shtovba, S.D. Proektirovaniye nechetkih sistem sredstvami MATLAB. [Fuzzy systems engineering through MATLAB.] Moscow: Goryachaya liniya — Telekom, 2007, 288 p. (in Russian).

9. Piegat, A. Nechetkoye modelirovaniye i upravleniye. [Fuzzy modeling and control.] Moscow: BINOM. Laboratoriya znaniy, 2012, 798 p. (in Russian — translation from English).


Review

For citations:


Parshin D.Ya., Shevchuk D.G. FUZZY ADAPTIVE CONTROL OF GRAIN COMBINE. Vestnik of Don State Technical University. 2012;12(7):80-89. (In Russ.)

Views: 480


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2687-1653 (Online)