Structural and functional aspects for defining control architectural of multi-component dynamic object
Abstract
The article dealt with the multi-component dynamic systems complex control issue by the case of a unmanned aerial vehicles group. The object of research is a unmanned aerial vehicles group and the research subject is the control of a multi-component dynamic object in the conditions of unpredictable behavior of the external environment. To study such various issues it appropriate to draw up architecture of the multi-component system control. The article describes the structural and functional aspects for defining control architectural of multi-component dynamic object.
The interaction within a group of agents depends on its configuration, in particular, on the presence of a single control center or agent-leader. It should be taken into account in examining the structural aspect of a multi-component dynamic object. Three main forms of communication organization of multi-component objects are considered. The structural scheme of interaction of agents in the group is presented.
Management features include restrictions that are imposed on the system as a whole, as well as on individual objects of the group. It is conditioned by the conditions of the external environment and the impact of each agent has on the system in the course of its operations.
The functional component of the architectural description of a multi-component dynamic object control is a certain algorithm of interaction between homogeneous agents having a common target function.
The peculiarities of information exchange at different types of system control - centralized, decentralized and mixed control - are considered. UML-diagrams describing algorithms of functioning of a group of unmanned aerial vehicles at different types of system control are presented. Advantages and disadvantages of each of these types for application in the field of multi-component systems control are indicated.Full Text:
PDF (Russian)References
Solov'ev i dr. Edinoe informacionno-funkcional'noe prostranstvo VMF: ot idei do realizacii/ pod obshhej red. V.I. Kidalova – SPb, Nika, 2003 – 490 s.
Il'inyh V. V., Andreev S. V., Kljuchnikov A. V., Chertkov M. S. Modelirovanie dinamiki poljota bespilotnogo letatel'nogo apparata v komp'juterizirovannom imitacionnom stende // NiKa. 2011. URL: http://cyberleninka.ru/article/n/modelirovanie-dinamiki-polyota-bespilotnogo-letatelnogo-apparata-v-kompyuterizirovannom-imitatsionnom-stende (data obrashhenija: 19.05.2019).
L. Gasser, An Overview of DAI, Distributed Artificial Intelligence: Theory and Praxis, 1992, pp. 9-30.
Vehicles / A. Tsourdos, [et al.]. John Wiley & Sons, Ltd, 2010. 212 p.
Baranjuk V.V., Minjajlo D.V., Smirnova O.S. Planirovanie dejstvij smeshannyh robototehnicheskih gruppirovok v uslovijah «balansirovanija na grani», International Journal of Open Information Technologies, Tom 4, No 12, 2016, s. 16 – 20.
Sigov A.S., Nechaev V.V., Baranjuk V.V., Smirnova O.S. Ispol'zovanie intellektual'nogo reshatelja v zadachah upravlenija smeshannymi robototehnicheskimi gruppirovkami. Materialy 10-j Vserossijskoj mul'tikonferencii po problemam upravlenija (MKPU-2017) v 3-h tomah. 3 s. S. Divnomorskoe, sentjabr' 2017 g.
Pospelov D.A. Ot kollektiva avtomatov k mul'tiagentnym sistemam // Trudy Mezhdunarodnogo seminara «Raspredelennyj iskusstvennyj intellekt i mnogoagentnye sistemy» (DAIMAS'97, SanktPeterburg, Rossija, 15-18 ijunja 1997). – S.319 – 325.
Zinchenko O.N. Bespilotnye letatel'nye apparaty: primenenie v celjah ajerofotos"emki dlja kartografirovanija (chast' 1). – M.: «Rakurs», 2011.
Baranyuk V.V., Minyaylo D.V., Smirnova O.S. Modelling heterogenous robot squads in unstable situations. Selected Papers of the XII International Scientific-Practical Conference Modern Information Technologies and IT-Education (SITITO 2017), Moscow, Russia, November 24 – 26, 2017. 8p.
Alexander Sigov, Valentin Nechaev, Valentina Baranyuk, Olga Smirnova. Approaches to group control and information-driven interaction in heterogeneous robot squads. Selected Papers of the First International Scientific Conference Convergent Cognitive Information Technologies (Convergent 2016), Moscow, Russia, November 25-26, 2016. P.146 – 151.
Gorodeckij V.I. Mnogoagentnye sistemy: osnovnye svojstva i modeli koordinacii povedenija// Informacionnye tehnologii i vychislitel'nye sistemy. – 1998. – #1. – S.22 – 34.
Burkhard H.-D. Liveness and Fairness Properties in Multi-Agent Systems// Proc. of the 13th Int. Joint Conference on Artificial Intelligence (Chambery, France, 1993). Vol.1. – P.325 – 330.
Kaljaev I. A., Gajduk A.R., Kapustjan S. G. Modeli i algoritmy kollektivnogo upravlenija v gruppah robotov. M.: FIZMATLIT, 2009. – 280 s.
Gazi V., Fidan B. Coordination and Control of Multi-agent Dynamic Systems: Models and Approaches // Swarm Robotics. Lecture Notes in Computer Science. 2007. Vol. 4433. P. 71 – 102.
Jepov M.I., Zlygostev I.N. Primenenie bespilotnyh letatel'nyh apparatov v ajerogeofizicheskoj razvedke // Interjekspo Geo-Sibir'. 2012. #-3. URL: http://cyberleninka.ru/article/n/primenenie-bespilotnyh-letatelnyh-apparatov-v-aerogeofizicheskoy-razvedke (data obrashhenija: 19.09.2019).
Levi S.A. Razrabotka mul'tiagentnoj sistemy dlja upravlenija gruppoj BPLA. Sankt-Peterburgskij Gosudarstvennyj Universitet, 2010.
Refbacks
- There are currently no refbacks.
Abava Кибербезопасность MoNeTec 2024
ISSN: 2307-8162