350 rub
Journal Science Intensive Technologies №3 for 2016 г.
Article in number:
Mathematical model of dynamic correction of the mobile robot route
Authors:
P.V. Lotorev - Post-graduate Student, South-West State University (Kursk). E-mail: pashik_email@mail.ru A.G. Kurochkin - Post-graduate Student, South-West State University (Kursk). E-mail: ak76@kursk.ru A.V. Grivachev - Post-graduate Student, South-West State University (Kursk). E-mail: Garpun-22@mail.ru
Abstract:
This article describes the development of mathematical models in the vector form. These vectors contain a global, current and modifiable value. They are necessary to the robot as a basis of algorithmic and mathematical constructs for the synthesis of alternative steps. The classical approach has no basis for making a robot the freedom of choice of the current step. Robot deprived of algorithmic and mathematical constructs for the synthesis of alternative steps, which is a limitation. The novelty of the mathematical model is the standard operation of the projection of adding two vectors. In this case, the addition of unidirectional vectors, total amount given direction is not less than the original length. This condition is a criterion for a possible change of the reference position of the route. In general, the correction of the route is performed in excess of a limit value of the deviation from the movement area.
Pages: 21-25
References

 

  1. Kaljaev I.A., Gajjduk A.R., Kapustjan S.G. Modeli i algoritmy kollektivnogo upravlenija v gruppakh robotov. M.: FIZMATLIT. 2009. 280 s.
  2. Kurochkin A.G., Emeljanov S.G., Borodin M.V. Produkcionnaja model dlja koordinacii beskonfliktnogo raspolozhenija gruppy avtonomnykh robotov // Informacionno-izmeritelnye i upravljajushhie sistemy. 2015. T. 13. № 6. S. 10−14.
  3. Grivachev A.V., Emeljanov S.G., Borodin M.V. Strukturno-funkcionalnaja skhema raspoznavanija i ocenki riska v sisteme upravlenija robotizirovannymi mnogo-funkcionalnykh mashinami // Informacionno-izmeritelnye i upravljajushhie sistemy. 2015. T. 13. № 6. S. 4−9.
  4. Takha KH.A. Vvedenie v issledovanie operacijj. M.: Viljams. 2005. 912 s.
  5. Kurochkin A.G.i dr. Upravlenie intellektualnymi robotami s ispolzovaniem produkcionnykh sistem // Dokl. II region. nauch.-tekh. konf. «Intellektualnye informacionnye sistemy: tendencii, problemy, perspektivy» (IIS-2014). 10 nojabrja 2014 g. Kursk: 2014. S. 42−48.
  6. Irikov V.A., Trenev V.N. Raspredelennye sistemy prinjatija reshenijj. Teorija i prilozhenija. M.: Nauka. Fizmatlit. 1999. 288 s.
  7. Titenko E.A.i dr. Produkcionnaja mashina-generator dlja obrabotki simvolnykh dannykh diskretnykh obektov // Izvestija JUgo-Zapadnogo gosudarstvennogo universiteta. Ser. Upravlenie, vychislitelnaja tekhnika, informatika. Medicinskoe priborostroenie. 2012. № 2. CH. 1. S. 111−115.
  8. Titenko E.A., Tipikin A.P. Modifikacija cikla raboty mashiny vyvoda dlja parallelnykh vychislitelnykh ustrojjstv // Izvestija JUgo-Zapadnogo gosudarstvennogo universiteta. 2011. № 6 (39). CH. 2. S. 92−95.
  9. Titov V.S., Konovalchikov A.P., Titenko E.A. Vysokoproizvoditelnye vychislitelnye sistemy na osnove PLIS // Izvestija JUgo-Zapadnogo gosudarstvennogo universiteta. 2012. № 4 (43). CH. 2. S. 73−77.