Comprehensive optimization of mode of departure of boom system of loader crane

Authors

DOI:

https://doi.org/10.31548/machenergy2020.02.005

Keywords:

loader crane, optimization, dynamic loads, criterion, load fluctuations.

Abstract

The article presents a method for solving the problem, eliminating the oscillations of the load on the knuckle join suspension the simultaneous movement of two elements of the boom system, namely, lifting the jib and movement the telescopic section. The essence of the method is based on the optimization of the regime of simultaneous movement of two elements of the boom system of the loader crane during horizontal movement of the load during the start-up period.
As an optimization criterion, a complex integral criterion was selected, which is a relative root-mean-square value of forces and powers in hydraulic drive cylinders. The developed criterion displays the undesirable properties of the boom system elements and drives mechanism, therefore, its values are minimized.
Since the optimization criterion is an integral functional, variational calculus method are used to optimize it. The solution of the variational optimization problem is presented in the form of many parametric functions that satisfy the boundary conditions of motion and minimize the complex dimensionless criterion. For this purpose, the particle swarm optimization method (ME-PSO) was used. This made it possible to obtain the dependences of the optimal, energy and forces characteristics of the boom system and the drive mechanisms of the crane. The mode of movement of the boom system elements obtained as a result of optimization improved the forces and energy characteristics of the loader crane, which made it possible to increase its reliability and productivity.

References

Loveikin V., Romasevich Y, Spodoba O. (2019). Mathematical model of the dynamics varying the radius jib system loader crane with a load at adjustment movement. Machinery & Energetics. Journal of Production Research Vol. 10. No 1. 141-149. DOI: 10.31548/machenergy.2019.01.141-149.

Mischuk D. (2018). Research dynamics of the boom manipulator mounted on elastic resistance Underwater technologies. Industrial and civil engineering. No 8. 54-56.

https://doi.org/10.26884/uwt1808.1301

Gulianitsky L., Mulessa O. (2016). Applied methods of combinatorial optimization: teach. manual Kiev. Publishing and printing center "Kyiv University". 142.

Kovalsky V.F. (2016). Mathematical modeling of the dynamics of the handling system of a mobile transport-technological machine, taking into account the elasticity of the links. MAMI, №3, 9-15.

Milto A.A. (2016). Dynamic and strength analysis of hydraulic crane-manipulators of mobile transport-technological machines (Unpublished candidate thesis). Moscow.

Bakai B.Ya. (2011). The previous presentation of the dynamic of the manipulator by the Lagrange-Euler method. Vidavnitstvo NLTU Ukraine, 322-327. Lviv.

Bozorg-Haddad O., Solgi M., Loáiciga H. (2017). Meta‐Heuristic and Evolutionary Algorithms for Engineering Optimization. Hoboke, USA, John Wiley & Sons Inc, 304.

https://doi.org/10.1002/9781119387053

Pylypaka, S.F., Nesvidomin, V.M., Klendii, M.B., Rogovskii, I.L., Kresan, T.A., Trokhaniak, V.I. (2019). Conveyance of a particle by a vertical screw, which is limited by a coaxial fixed cylinder. Bulletin of the Karaganda University - Mathematics. Vol. 95. Issue 3. 108-118. WoS. https://doi.org/10.31489/2019M2/108-119

Dubrovka F., Vasilenko D. (2009). Constructive synthesis of planar antennas using natural optimization algorithms. Izvestiya high schools, Radio electronics. No. 4. 3-22.

https://doi.org/10.3103/S0735272709040013

Kiranyaz S., Ince T., Yildirim A., Gabbouj M. (2009). Evolutionary Artificial Neural Networks by Multi-Dimensional Particle Swarm Optimization. Neural Networks. Vol. 22. Issue 10. 1448-1462. https://doi.org/10.1016/j.neunet.2009.05.013

Heo J., Lee K., Garduno-Ramirez R. (2006). Multiobjective Control of Power Plants Using Particle Swarm Optimization Techniques. IEEE Transactions on Energy Conversion. Vol. 21. Issue 10. 552-561. https://doi.org/10.1109/TEC.2005.858078

Zamani M., Karimi-Ghartemani M., Sadati N., Parniani M. (2009). Design of a Fractional Order PID Controller for an AVR Using Particle Swarm Optimization. Control Engineering Practice. Vol. 17. 1380-1387. https://doi.org/10.1016/j.conengprac.2009.07.005

Chander A., Chatterjee A., Siarry P. (2011). A New Social and Momentum Component Adaptive PSO Algorithm for Image Segmentation. Expert Systems with Applications. Vol. 38. Issue 5. 4998-5004. https://doi.org/10.1016/j.eswa.2010.09.151

Romasevych Y., Loveikin V. (2018). A Novel Multi-Epoch Particle Swarm Optimization Technique. Cybernetics and Information Technologies, Bulgarian Academy of Science. Vol. 18(3). 62-74. https://doi.org/10.2478/cait-2018-0039

Loveikin V., Romasevych Y., Kadykalo I., Liashko A. (2019). Optimization of the swinging mode of the boom crane upon a complex integral criterion. Journal of Theoretical and Applied Mechanics. Vol. 49. Issue 3. 285-296. Scopus.

https://doi.org/10.7546/JTAM.49.19.03.07

Loveikin V., Romasevich Y., Khoroshun A., Shevchuk A. (2018). Time-Optimal Control of a Simple Pendulum with a Movable Pivot. Part 1. International Applied Mechanics. Vol. 54(3). 358-365.

https://doi.org/10.1007/s10778-018-0887-x

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Published

2020-07-05

Issue

No. 11(2) (2020)

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Статті

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