Assisted Optimization of the Servo Driving by Using Virtual Labview Instrumentation and the Elementary Transfer Functions and Neural Network Methods

Abstract:

In the optimisation stage of the systems one of the more important step is the optimisation of the dynamic behavior of all elements with priority the elements what have the slow frequency, like motors. The paper try to show how will be possible to optimise very easily the dynamic behavior of elements and systems, using LabVIEW propre instrumentation and the application of the transfer functions and neural tnetwork theory. By appling the virtual LabVIEW instrumentation is possible to choose on-line the optimal values for each constructive and functional parameters of the elements and the systems to obtain one good dynamic answer: maximal acceleration without vibration, minimum answer time and maximal precision. The paper presents some of the more important used transfer functions in the assisted analyse of the elements and systems and some practical results of the assisted optimisation by using the neural network method. In the research were been used some different way to optimize the convergence process, for example: using one time- delay of the first and second output from the neural layers; using the recursive link and time- delay; using the bipolar sigmoid hyperbolic tangent sensitive function replacing the sigmoid simple sensitive function. By on-line simulation of the neural network was possible to know what will be the influences of all network parameters like the input data, weight, biases matrix, sensitive functions, closed loops and time- delay, to the gradient errors, in a convergence process. In the optimization research we used the minimization of the gradient error function between the output and the target.

• Periodical: Applied Mechanics and Materials (Volumes 325-326)
• Pages: 970-983
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.325-326.970
• Online since: June 2013
• Authors: Adrian Olaru, Serban Olaru, Aurel Oprean
• Keywords: Assisted Optimization, Neural Network (NN), Transfer Function, Virtual Instrumentation

References

[1] Olaru, A. Dynamic of industrial Robots- Modeling dynamic behavior of the elements and the systems utilized in construction of the industrial robots, Bren Edition 2001, ISBN 973-8143-65-9.

[2] Oprean, A., Olaru A., Ioanid, P. Computer aided research for dynamic behavior of forging manipulators orientation modulus, IMEC, Manufacturing Engineering 2000 and Beyond, Freud, SUA,1996, pag345-352, 1996.

[3] Oprean, A., Olaru, A. Theoretical and experimental analyze of position and velocity at articulated arm industrial Robot, SISOM 2001 Bucharest.

[4] Olaru, A. Theoretical and experimental cinematic research of industrial robots, The 12th International DAAM Symposium " Intelligent Manufacturing & Automation: Focus on Precision Engineering " 24-27th October 2001, Jena, Germany.

[5] Olaru, A., Staicu, St. Theoretical and experimental research dynamic behavior of industrial robots University Scientific Bulletin University "Politehnica" of Bucharest, Politehnica Publishing House 2001.

[6] Olaru Serban , Oprean Aurel, Olaru Adrian, Assisted research of the rheological dampers with LabVIEW instrumentation, The 1st European DAAAM International Young Researchers´ and Scientists´ Conference, 24-27th October 2007, University of Zadar, Zadar, Croatia, 2007.

[7] Olaru, A., Olaru, S. Research Of The Industrial Robot Dynamic Behavior with LabVIEW Instrumentation, OPTIROB Proceedings, Romania, 2007.

[8] Oprean Aurel, Olaru Serban, Olaru Adrian. Some Contributions Of The Modeling And Simulation Of The Magnetorheological Dampers, OPTIROB Proceedings, Romania, 2007.

[9] Adrian Olaru, Paune Danut, Adrian Ghionea, Serban Olaru, Peli Alexandru. Research with LabVIEW instrumentation of the robot trajectory errors, OPTIROB Proceedings, Romania, 2007.

[10] Adrian Olaru, Serban Olaru, Assisted optimization of the electro-hydraulic servo driving with LabVIEW instrumentation, The 6th Iranian Aerospace Society Conference- Feb. 2007-K.N. Toosi University of Technology, Teheran, Iran, 2007.

[11] Olaru Adrian, Olaru Serban, Assisted dynamic behavior optimization of the robots elements and systems with the virtual instrumentation, 15th Annual (International) Mechanical Engineering Conference May 2007, Amirkabir University of Technology, Tehran, Iran, 2007.

[12] Oprean Aurel, Olaru Serban, Olaru Adrian, Some contributions on the magnetorheological damper assisted research , OPROTEH2007, Bacau, Romania, 2007.

[13] Serban Olaru, Adrian Olaru, Assisted research of the Bouc-Wen damper new mathematical model with LabVIEW instrumentation, AERO2008, Teheran, Iran, 2008.

[14] Olaru, A. & Olaru, S. -Research of the global dynamic compliance and the viscose global dynamic damper coefficient of the industrial robot- The 17th International Daaam Symposium "Intelligent Manufacturing & Automation: Focus on Mechatronics & Robotics" 08-11th November 2006, Viena, Austria.

[15] Olaru Adrian, Olaru Serban- Research of the industrial robot Fourier spectrum with LabVIEW instrumentation – First Regional Conference of Mechanical Engineering Islamic Azad University, Majlessi New Town Branch December 13th, 2006.

[16] Adrian Olaru -Assisted research of the industrial robots global dynamic compliance with LabVIEW instrumentation- Proceedings of the 15th International Conference on Manufacturing Systems – ICMaS Published by Editura Academiei Romane, University POLITEHNICA of Bucharest, Machine and Manufacturing Systems Department Bucharest, Romania, 26 - 27 October, 2006.

DOI: 10.18178/ijmerr.6.3.170-177

[17] Olaru, A. Assisted research with virtual LabVIEW instrumentation of the industrial robots vibration behavior, Acta Mechannica Slovaca, Vishe Ruzbachy, Slovacia 2004.

[18] Olaru A., Olaru S., Peli Al., Paune D. 3D complex trajectory by using the robots and perirobots components, 9th International Conference on Automation/ Robotics in Theory and Practice, Slovakia 2008, pp.431-444.

[19] Olaru, A., Olaru S., Ciupitu, L. Assisted research of the neural network by bach propagation algorithm, OPTIROB 2010 International Conference, Calimanesti, Romania, The RPS Singapore Book, pp.194-200 , 2010.

[20] Olaru, A., Olaru, S., Paune D., Ghionea A. Assisted research of the neural network, OPTIROB 2010 International Conference, Calimanesti, Romania, The RPS Singapore Book, pp.189-194 , 2010.

DOI: 10.4028/www.scientific.net/amr.463-464.1098

[21] Blelloch, G., & Rosenberg, C.R. "Network learning on the Connection Machine" Proc. of the Tenth International Joint Conference on Artificial Intelligence. Dunno, pp.323-326, 1987.

[22] Cybenko, G. Approximation by superpositions of sigmoid function, Mathematics of Control, Signals, and Systems, vol.2., p.303–314, (1989)

DOI: 10.1007/bf02551274

[23] Elman, J.L. Finding structure in time, Cognitive Science, 14, pp.179-211, 1990.

[24] Fukushima, K. Cognitron: A self- organizing multilayered neural network, Biological Cybernetics, 20, pp.121-136,1975.

DOI: 10.1007/bf00342633

[25] Hartman, E.J., Keeler, J.D. Kowalski, J.M. Layered neural network with Gaussian hidden units as universal approximations, Neural Computation, 2(2), pp.210-215, 1990.

DOI: 10.1162/neco.1990.2.2.210

[26] Hopfield, J.J. Neural networks and physical systems with emergent collective computational abilities, Proc.of the National Academy of Sciences, 81, pp.3088-3092, 1984.

[27] Lippmann, R.P. An introduction to computing with neural nets, IEEE Transactions on Acoustic, Speech, and Signal Processing, 2(4), pp.4-22, 1987.

[28] Minsky, M., & Papert, S. Perceptron: An Introduction to Computational Geometry, The MIT Press, 1969.

[29] Rosenblatt, F. Principle of Neurodynamics, New-York: Spartan Book.

[30] Dimith, H., Beale M.& Hagan M.: Neural Network ToolboxTM 6- User Guide, The MathWorks, Inc. 3 Apple Hill Drive Natick, MA 01760-2098, USA.

[31] Neštrák Dušan - Daneshjo, Naqib: Praktická aerodynamika vrtuľníka. TU - 2011. - 246 s.. - ISBN 978-80-553-0610-0.

[32] Daneshjo Naqib: Computer Modelin and Simulation. In: International conference on optimization of the robots and manipulators. Sinaia 26-28 .May.2011. ISBN 978-981-08-8906-7, ISSN 2010-460X, pp.73-76- Romania 2011.

[33] Daneshjo Naqib: Programovanie priemyselných robotov. In: Strojárstvo. roč. XIV, č. 3 (2010), s. 52. Internet: <www.strojastvo.sk>. ISSN 1335-2938, 2010.

[34] Daneshjo, Naqib: Modular reconfigurable robotic system. In: OPTIROB 2009 : Optimization of the Robots and Manipulators : The fourth Edition of the International Conference : Proceedings : Constanta-Mamaia, Romania: May 28th-31st, 2009. Bucuresti : Bren Publishing House, 2009. pp.23-25. ISSN 2066-3854.

[35] Daneshjo, Naqib: Kinematic calibration of reconfigurable parallel robots. In: OPTIROB 2009 : Optimization of the Robots and Manipulators : The fourth Edition of the International Conference : Proceedings : Constanta-Mamaia, Romania: May 28th-31st, 2009. Bucuresti : Bren Publishing House, 2009. pp.19-21. ISSN 2066-3854.