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Abstract

The paper presents a method of determining the efficiency of the slewing drive system applied in tower cranes. An algorithm for the proper selection of a permanent magnet synchronous motor (PMSM) for crane applications is presented. In the first stage of our research the proper PMSM was proposed on the basis of the simulation calculation. Next, the PM motor was examined on a special test bench. The experimental setup allows determining major electrical and mechanical parameters of the motor drive system. The applied slewing system consists of: an inverter, gear, cable drum and a permanent magnet motor. The performance and efficiency of the system were experimentally determined. Selected results of the experimental measurement are presented and discussed.
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Bibliography

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[21] Knypinski Ł., Krupinski J., Application of the permanent magnet synchronous motors for tower cranes, Przegląd Elektrotechniczny, vol. 96, no. 1, pp. 27–30 (2020), DOI: 10.15199/48.2020.01.07.
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[25] Putz Ł., Bednarek K., Kasprzyk L., Analysis of higher harmonics generated by LED lamps, Przegląd Elektrotechniczny, vol. 96, no. 4, pp. 90–93 (2020).
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Authors and Affiliations

Łukasz Knypiński
1
ORCID: ORCID
Jacek Krupiński
2

  1. Poznan University of Technology, Poland
  2. Krupinski Cranes, Poland
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Abstract

This paper presents an algorithm and optimization procedure for the optimization of the outer rotor structure of the brushless DC (BLDC) motor. The optimization software was developed in the Delphi Tiburón development environment. The optimization procedure is based on the salp swarm algorithm. The effectiveness of the developed optimization procedurewas compared with genetic algorithm and particle swarmoptimization algorithm. The mathematical model of the device includes the electromagnetic field equations taking into account the non-linearity of the ferromagnetic material, equations of external supply circuits and equations of mechanical motion. The external penalty function was introduced into the optimization algorithm to take into account the non-linear constraint function.
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Authors and Affiliations

Łukasz Knypiński
1
ORCID: ORCID
Ramesh Devarapalli
2
ORCID: ORCID
Yvonnick Le Menach
3
ORCID: ORCID

  1. Poznan University of Technology, Poland
  2. Department of EEE, Lendi Institute of Engineering and Technology, Vizianagaram, India
  3. Lille University, France
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Abstract

Economic Load Dispatch (ELD) is utilized in finding the optimal combination of the real power generation that minimizes total generation cost, yet satisfying all equality and inequality constraints. It plays a significant role in planning and operating power systems with several generating stations. For simplicity, the cost function of each generating unit has been approximated by a single quadratic function. ELD is a subproblem of unit commitment and a nonlinear optimization problem. Many soft computing optimization methods have been developed in the recent past to solve ELD problems. In this paper, the most recently developed population-based optimization called the Salp Swarm Algorithm (SSA) has been utilized to solve the ELD problem. The results for the ELD problem have been verified by applying it to a standard 6-generator system with and without due consideration of transmission losses. The finally obtained results using the SSA are compared to that with the Particle Swarm Optimization (PSO) algorithm. It has been observed that the obtained results using the SSA are quite encouraging.
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[19] Zhang J.,Wang J.S., Improved Salp Swarm Algorithm Based on Levy Flight and Sine Cosine Operator, IEEE Access, vol. 8, pp. 99740–99771 (2020).
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[24] Knypinski Ł., Pawełoszek K., Le Manech Y., Optimization of low-power line-start PM motor using gray wolf metaheuristic algorithm, Energies, vol. 13, no. 5 (2020).
[25] Knypinski Ł., J˛edryczka C., Demenko A., Influence of the shape of squirrel cage bars on the dimensions of permanent magnets in an optimized line-start permanent magnet synchronous motor, COMPEL, vol. 36, no. 1, pp. 298–308 (2017).
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Authors and Affiliations

Ramesh Devarapalli
1
ORCID: ORCID
Nikhil Kumar Sinha
1
ORCID: ORCID
Bathina Venkateswara Rao
2
ORCID: ORCID
Łukasz Knypinski
3
ORCID: ORCID
Naraharisetti Jaya Naga Lakshmi
4
ORCID: ORCID
Fausto Pedro García Márquez
5
ORCID: ORCID

  1. Department of EE, B. I. T. Sindri, Dhanbad, Jharkhand – 828123, India
  2. Department of EEE, V R Siddhartha Engineering College (Autonomous), Vijayawada-520007, A.P., India
  3. Poznan University of Technology, Poland
  4. SR Engineering College: Warangal, Telangana, India
  5. Ingenium Research Group, University of Castilla-La Mancha, Spain

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