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Motion Optimization of Manipulator with Revolute Joints

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this work the problem of motion optimization of manipulator with revolute joints has been considered. The motion equations of the manipulator elements under any spatial work cycle conditions have been formulated. The formulation has been completed by using the classic vector mechanics and Lagrange equations of second kind. The chosen motion model for each considered actuator is point-to-point motion model with quasi-trapezoid velocity profile. The optimization objective has been chosen as minimization of loads (torques) in actuators and, simultaneously, minimization of duration of considered work cycle. The objective function has been formulated using performance indexes and the design variables are rated velocity value and initial time value of work cycle in each considered actuator. The formulated optimization problem has been solved using constrained Multi-Objective Particle Swarm Optimization algorithm. An exemplary numerical computation has been completed and results of the computation have been attached to the paperwork.
Słowa kluczowe
Rocznik
Strony
119--127
Opis fizyczny
Bibliogr. 16 poz., rys.
Twórcy
  • Institute of Mechanics and Machine Design Foundations, Czestochowa University of Technology, Czestochowa, Poland
autor
  • Institute of Mechanics and Machine Design Foundations, Czestochowa University of Technology, Czestochowa, Poland
Bibliografia
  • [1] Awrejcewicz J.: Classical Mechanics: Kinematics and Statics, Springer, New York, 2012.
  • [2] Awrejcewicz J.: Classical Mechanics: Dynamics, Springer, New York, 2012.
  • [3] Cheng R., Yao M.: Particle Swarm Optimizer with Time-Varying Parameters based on a Novel Operator, Applied Mathematics & Information Sciences, 2011, 5, 33-38.
  • [4] Clerc M., Kennedy J.: The Particle Swarm - Explosion, Stability and Convergence in a Multidimensional Complex Space, IEEE Transactions on Evolutionary Computation, 2002.
  • [5] Eberhart R. C., Kennedy J.: Particle swarm optimization, Proceedings of the IEEE International Conference on Neural Networks, 1995, 4, 1942-1948.
  • [6] Kucuk S.: Energy minimization for 3-RRR fully planar parallel manipulator using particle swarm optimization, Mechanism and Machine Theory, 2013, 62, 129-149.
  • [7] Panda S., Mishra D., Biswal B. B.: Revolute manipulator workspace optimization: A comparative study, Applied Soft Computing, 2013, 13, 899-910.
  • [8] Posiadała B.: Modelowanie i analiza zjawisk dynamicznych maszyn roboczych i ich elementów jako dyskretno-ciągłych układów mechanicznych, Częstochowa, Poland, 1999 (in Polish).
  • [9] Posiadała B., Tomala M.: Modeling and Analysis of the Dynamics of Load Carrying System, Proceedings of World Congress On Engineering and Computer Science, 2012, 2, 1170-1175.
  • [10] Posiadała B., Warys P., Cekus D., Tomala M.: The Dynamics of the Forest Crane During the Load Carrying. International Journal of Structural Stability and Dynamics, 2013, 7 (13).
  • [11] Saramago S. F. P., Steffen Jr, V.: Optimization of the trajectory planning of robot manipulators taking into account the dynamics of the system, Mechanism and Machine Theory, 1998, 33.
  • [12] Siciliano B., Sciavicco L., Villani L., Oriolo G.: Robotics. Modeling, Planning and Control, Springer-Verlag London Limited, 2009.
  • [13] Skalmierski B.: Mechanika. Podstawy mechaniki klasycznej, Czestochowa, Poland, 1998 (in Polish).
  • [14] Skalmierski B.: Mechanika. Podstawy mechaniki ośrodków ciągłych. Czestochowa, Poland, 1999 (in Polish).
  • [15] Tarnowski W.: Optymalizacja i polioptymalizacja w technice, Koszalin, Poland, 2011 (in Polish).
  • [16] Ur-Rehman R., Caro S., Chablat D., Wenger P.: Multi-objective path placement optimization of parallel kinematics machines based on energy consumption, shaking forces and maximum actuator torques: Application to the Orthoglide. Mechanism and Machine Theory, 2010, 45, 1135-1141.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5e88c20d-834f-4338-87d2-ef62db20f624
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