Approach to the problem of choice of the adjustable harvester parameter values based on fuzzy modeling
https://doi.org/10.12737/11611
Abstract
A problem of selecting the controlled parameter values of the combine harvester work tools is considered. Models describing the harvesting quality factor dependencies of the external agents are analyzed. The need of a new approach to modeling the technological adjustment process of the harvester in the field which takes into account the fuzzy information on the environmental factors, its approximate character, as well as an expert method of generating information, is justified. To describe the environmental factors and the performance indices, linguistic variables are introduced, their membership functions are developed, and production rules are formulated. The fuzzy inference process is illustrated by an example of selecting the beater rate speed. A knowledgebase and an inference engine that form the expert system basis are created. The use of such a system in the field allows reducing the process downtime and crop waste. A practical implementation of the developed model is the creation of the software for the automated problem solution of the technological adjustment of the harvester in the field.
About the Authors
Lyudmila Victorovna Borisova
Don State Technical University, Rostov-on-Don, Russian Federation
Russian Federation
Russian Federation
Inna Nikolayevna Nurutdinova
Don State Technical University, Rostov-on-Don, Russian Federation
Russian Federation
Russian Federation
Valery Petrovich Dimitrov
Don State Technical University, Rostov-on-Don, Russian Federation
Russian Federation
Russian Federation
References
1. Rybalko, A.G. Osobennosti uborki vysokourozhaynykh zernovykh kul'tur. [Some features of harvesting highyielding grains.] Moscow: Agropromizdat, 1988, p.120 (in Russian).
2. Vetrov, E.F., Genkin, M.D., Litvin, L.M., et al. Optimizatsiya tekhnologicheskogo protsessa po statisticheskim dannym. [Optimization of technological process according to statistic data.] Mashinovedenie, 1986, no. 5, pp. 48–55 (in Russian).
3. Vetrov, E.V., Tchernyavskaya, V.P., Bobrineva, G.F. Optimal'noe regulirovanie zernouborochnogo kombayna. (Elektronnyy «Sovetchik kombaynera»). [Optimal adjustment of combine harvester (Electronic journal «Sovetchik kombainera»)] Proceedings, 4/89. Moscow: NPO VISKhOM, 1989, pp. 80–85 (in Russian).
4. Litvin, L.M., Zhalkin, E.V., Vetrov, E.F. Obobshchennaya otsenka zonal'nykh pokazateley raboty zernouborochnykh kombaynov. [Generalized estimation of zone operational performance of combine harvesters.] Tekhnika v sel'skom khozyaystve, 1989, no. 5, pp. 41–45 (in Russian).
5. Yerokhin, S.N., Reshetov, A.S. Vliyanie tekhnologicheskikh regulirovok na poteri zerna za molotilkoy kombayna Don-1500. [Technological adjustment effect on grain loss after Don-1500 combine separator.] Mekhanizatsiya i elektrifikatsiya sel'skogo khozyaystva, 2003, no. 6, pp.18–19 (in Russian).
6. Tsarev, Y.A., Kharkovsky, A.V. Perspektivy ispol'zovaniya elektronnoy sistemy upravleniya v kombaynakh «Don» i «Niva». [Prospects of using electronic control system in combine harvesters “Don” and “Niva”.] Traktory i sel'skokhozyaystvennye mashiny, 2005, no. 1, pp. 37–38 (in Russian).
7. Averkin, A.N., et al., Pospelov, D.A., ed. Nechetkie mnozhestva v modelyakh upravleniya i iskusstvennogo intellekta. [Fuzzy sets in control and artificial intelligence models.] Moscow: Nauka, 1986, 312 p. (in Russian).
8. Asai, K., Vatada, D., Sugeno, S. Prikladnye nechetkie sistemy: Per. s yapon. [Applied fuzzy systems: Transl. from Japanese.] Moscow: Mir, 1993, 368 p. (in Russian).
9. Tugengold, A.K., Tishin, A.S., Lysenko, A.F. K voprosu formirovaniya sistemy znaniy pri intellektual'nom elektronnom dokumentirovanii mekhatronnykh ob''ektov. [On knowledge system formation in intelligent electronic documentation of mechatronic objects.] Vestnik of DSTU, 2012, no. 3, pp. 30–36 (in Russian).
10. Zadeh, L.A. Fuzzy sets. Information and Control, 1965, vol. 8, pp. 338–353.
11. Zadeh, L.A. Knowledge representation in fuzzy logic. An Introduction to Fuzzy Logic Applications in Intelligent Systems, The Springer International Series in Engineering and Computer Science, vol. 165, R.R. Yager, L.A. Zadeh, Eds. New York: Springer, 1992, pp. 1–27.
12. Dimitrov, V. P., Borisova, L.V. Teoreticheskie i prikladnye aspekty razrabotki ekspertnykh sistem dlya tekhnicheskogo obsluzhivaniya mashin. [Theoretical and applied aspects of developing expert systems for machines maintenance.] Rostov-on-Don: DSTU Publishing Centre, 2007, 202 p. (in Russian).
13. Borisova, L.V. Metodika modelirovaniya predmetnoy oblasti «tekhnologicheskaya nastroyka» v nechetkoy postanovke. [Modeling technique of the subject domain “technological adjustment” in a fuzzy formulation.] Proceedings RASKhN, 2005, no. 6, pp. 62–65 (in Russian).
14. Koffman, L. Vvedenie v teoriyu nechetkikh mnozhestv. [Introduction into the theory of fuzzy sets.] Moscow: Radio and communication, 1982, 432 p. (in Russian).
15. Malyshev, N.G., Berstein, L.S., Bozhenyuk, A.V. Nechetkie modeli dlya ekspertnykh sistem v SAPR. [Fuzzy models for expert systems in CAD.] Moscow: Energoatomizdat, 1991, 136 p. (in Russian).
16. Makarov, I.M., Lokhin, V.M., Manko, S.V., Romanov, M.P. Iskusstvennyy intellekt i intellektual'nye sistemy upravleniya. [Artificial intelligence and intelligence control systems.] Moscow: Nauka, 2006, 333 p. (in Russian).
17. Dimitrov, V. P. O metodike defazzifikatsii nechetkoy ekspertnoy informatsii. [On defuzzification method in fuzzy expert information processing.] Vestnik of DSTU, 2010, vol. 10, no. 6 (49), pp. 868–878 (in Russian).
18. Shtovba, S.D. Proektirovanie nechetkikh sistem sredstvami MATHLAB. [Designing fuzzy systems with MATHLAB facilities.] Moscow: Goryachaya liniya – Telekom, 2007, 288 p. (in Russian).
Review
For citations:
Borisova L.V., Nurutdinova I.N., Dimitrov V.P. Approach to the problem of choice of the adjustable harvester parameter values based on fuzzy modeling. Vestnik of Don State Technical University. 2015;15(2):100-107. (In Russ.) https://doi.org/10.12737/11611
Views: 586
Email this article 