MULTIBODY SYSTEMS AND SIMULATION IN MATLAB

УДК:004.4

DOI:10.25140/2411-5363-2018-4(14)-84-94

Author:

Hroncová Darina , Technical University of Košice (Letna 9, 04200 Košice, Slovak Republic)

Language: english

Annotation:

Urgency of the research. Computer modeling changes the teaching methodology, the way of thinking and the possibilities of applications. It helps to move from external to internal properties and from individual to related properties. The development of the product is accelerated by experimenting with a computer model.

Target setting. Kinematic analysis in Matlab and MSC Adams View. The aim is to investigate the rotation of individual members of the robotic system and to determine the spatial movement of the end effector.

Actual scientific researches and issues analysis. MSC Adams represents dynamic simulators of virtual prototypes of mechanical systems. Virtual prototypes allow to model, analyze and optimize the future products and to examine their properties before building a real prototype. This approach is suitable for developing miniature mechatronic elements as well as complex systems.

Uninvestigated parts of general matters defining. Virtual prototypes represent a suitable resource for testing of control and regulation procedures.

The research objective. Compilation of a virtual prototype of a mechanical system that has all the decisive features and is computationally stable.

The statement of basic materials. Virtual model is a mathematical representation of real-world structures, simulating all its physical properties virtually.

Conclusions. The aim was to determine the kinematic properties and also to evaluate the influence of the parameters of the mechanism which influence these kinematic properties. The matrix method was used. The process of the solution consisted of determining the transformation matrices of the coordinate systems, the kinematic analysis of the industrial robot and the graphical representation of the effector handling space.

 

Key words:

virtual model; open kinematic chain; robotic system; software simulation; end-effector; transformation matrices.

References:

1. BRÁT, V. (1981). Maticové metódy v analýze prostorových vázaných systému, Academia, Praha.

2. STEJSKAL, V., & VALÁŠEK, M. (1996). Kinematics and dynamics of Machinery, Marcel Dekker, Inc., New York.

3. VAVRO, J., JR., VAVRO, J., KOVÁČIKOVÁ, P., BEZDEDOVÁ, R., HÍREŠ, J. (2017). Kinematic and dynamic analysis and distribution of stress in items of planar mechanisms by means of the MSC ADAMS software, Manufacturing Technology, Volume 17, Issue 2, Pages 267-270.

4. YAO, Y., WANG, W., HUANG, M. (2015). A state-space dynamic model for vapor compression refrigeration system based on moving-boundary formulation. International Journal of Refrigeration, Volume 60, Pages 1-16. 

5. JAVORIK J.(2016). Numerical optimization of large shade sail support, Manufacturing Technology Volume 16, Issue 4, Pages 707-712.

6. DUCHOŇ, F., HUBINSKÝ, P., HANZEL, J., BABINEC, A., & TÖLGYESSY, M. (2012). Intelligent Vehicles as the Robotic Applications. Procedia Engineering, 48 (2012), 105–114. doi.org/10.1016/j.proeng.2012.09.492.

7. Tedeschi, F., Carbone, G. (2017). Design of a novel leg-wheel hexapod walking robot, Robotics, Volume 6, Issue 4, 2017, Article number 40.

8. Tedeschi, F., Carbone, G. (2015). Hexapod walking robot locomotion, Mechanisms and Machine Science, Volume 29, Pages 439-468.

9. Carbone, G., DI Nuovo, A. (2016). A hybrid multi-objective evolutionary approach for optimal path planning of a hexapod robot a preliminary study, Lecture Notes in Computer Science (including sub-series Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 9668, Pages 131-144.

10. ZI, B., ZHANG, L., ZHANG, D., QIAN, S. (2015). Modeling, analysis, and co-simulation of cable parallel manipulators for multiple cranes. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Vol. 229, Issue 9, p. 1693-1707.

11. FARAHANI, R.Z., REZAPOUR, S., DREZNER, T., ESFAHANI, A.M., AMIRI-AREF, M. (2015). Locating and capacity planning for retailers of a new supply chain to compete on the plane. Journal of the Operational Research Society, Volume 66, Issue 7, Pages 1182-1205.

12. Benabdelaziz, K., Maaroufi, M. (2017). Battery dynamic energy model for use in electric vehicle simulation, International Journal of Hydrogen Energy 42(30), pp. 19496-19503

13. CAO, X., JIN, Z., WANG, C., DONG, M. (2016). Kinematics simulation of environmental parameter monitor robot used in coalmine underground, 13th International Conference on Ubiquitous Robots and Ambient Intelligence, Article No. 7625783, Pages 576-581.

14. WANG, L., DING, Z., MENG, S., ZHAO, H., SONG, H. (2017). Kinematics and dynamics of a particle on a non-simple harmonic vibrating screen. Particuology, Vol.32, p.167-177.

15. Christoloukas, D., Savaidis, A. (2016). Theoretical dynamic simulation software for slider crank mechanism of V8 engines, Materialwissenschaft und WerkstofftechnikVolume 47, Issue 10, Pages 935-943.

16. Karibeeran, S.S., Prakash, M., Alaguraja, R., Radhakrishnan, M. (2015). Computer assisted design and analysis of shedding mechanism of powerloom machineries, ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), Volume 4A.

17. FURCH, J., GLOS, J., NGUYEN, T.T. (2016). Modelling and simulation of mechanical gearbox vibrations, Transport Means - Proceedings of the International Conference, Pages 133-139.

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