Abstract
The aim of the paper is to develop an optimization method of a spatial 2 degrees of freedom (DOF) parallel mechanism(PM) used for orientation of a solar panel. The purpose of the optimization is to define the right set of geometrical parameters of the PM that assure a correlation between the angular workspace of the PM with the relative angles of the sun (azimuth, elevation) between the winter and summer solstices. The spatial PM is actuated using three FESTO fluidic muscles and the corresponding kinematics of the PM have been included in the fitness function of the optimization. The numerical model of the angles of the sun between the winter and summer solstices has been developed as a scattered grid of angles considered for the city Cluj-Napoca.
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References
Fluidic Muscle DMSP/MAS (2017) https://www.festo.com/rep/en_corp/assets/pdf/info_501_en.pdf. Accessed 20 Feb 2017
Global Optimization Toolbox, Matlab (2015) Mathworks. Product information. http://uk.mathworks.com/products/global-optimization/features.html
Iqbal K (2013) Fundamental engineering optimization methods, 1st edn. ISBN: 978-87-403-0489
Nianfeng W, Shuai W, Xianmin Z (2012) Optimization design for linkage mechanism based on reliability of kinematic accuracy. In: 2012 IEEE international conference on robotics and biomimetics (ROBIO). IEEE, pp 944–949
Rania H et al (2005) A comparison of particle swarm optimization and the genetic algorithm. In: Proceedings of the 1st AIAA multidisciplinary design optimization specialist conference, pp 18–21
Tian H et al (2004) Optimal kinematic design of 2-DOF parallel manipulators with well-shaped workspace bounded by a specified conditioning index. IEEE Trans Robot Autom 20(3):538–543
Xu Q, Li Y (2006) Stiffness optimization of a 3-DOF parallel kinematic machine using particle swarm optimization. In: IEEE International conference on robotics and biomimetics, 2006. ROBIO’06. IEEE, pp 1169–1174
Yilmaz S et al (2015) Design of two axes sun tracking controller with analytically solar radiation calculations. Renew Sustain Energy Rev 43:997–1005
Zhang D, Wei B (2015) Kinematic analysis and optimization for 4PUS-RPU mechanism. In: 2015 IEEE international conference on advanced intelligent mechatronics (AIM). IEEE, pp 330–335
Zhang D, Gao Z (2012) Forward kinematics, performance analysis, and multi-objective optimization of a bio-inspired parallel manipulator. Robot Comput-Integr Manuf 28(4):484–492
Zhang D (2000) Kinetostatic analysis and optimization of parallel and hybrid architectures for machine tools. PhD Thesis, Laval University, Quebec, Apr 2000
Zhang Z et al (2015) Design and kinematic analysis of a parallel robot with remote center of motion for minimally invasive surgery. In: 2015 IEEE international conference on mechatronics and automation (ICMA). IEEE, pp 698–703
Zhen G et al (2015) Performance analysis, mapping, and multiobjective optimization of a hybrid robotic machine tool. IEEE Trans Ind Electron 62(1):423–433
Zhibin L et al (2013) Type synthesis, kinematic analysis, and optimal design of a novel class of Schönflies-motion parallel manipulators. IEEE Trans Autom Sci Eng 10(3):674–686
Acknowledgements
The work presented in this paper has been founded by the Technical University of Cluj-Napoca, grant “Competitie Interna”, no. 10/1.2/2015.
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Boanta, C., Besoiu, S., Brisan, C. (2018). Optimization of a Spatial 2 DOF Parallel Mechanism Used for Orientation. In: Doroftei, I., Oprisan, C., Pisla, D., Lovasz, E. (eds) New Advances in Mechanism and Machine Science. Mechanisms and Machine Science, vol 57. Springer, Cham. https://doi.org/10.1007/978-3-319-79111-1_42
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DOI: https://doi.org/10.1007/978-3-319-79111-1_42
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