Research Papers

Magnus Wind Turbine Emulator With MPPT by Cylinder Rotation Control

[+] Author and Article Information
Leonardo Candido Corrêa

Education, Science, and Technology Federal
Institute of Rio Grande do Sul,
Av. São Vicente, 785, Bairro Cinquentenário,
Farroupilha 95180-000, RS, Brazil
e-mail: leonardo.ee@gmail.com

João Manoel Lenz

Federal University of Santa Maria,
Programa de Pós-Graduação em
Engenharia Elétrica,
Av. Roraima n° 1000, Campus Universitário,
Bairro Camobi,
Centro de Tecnologia (CT),
Pavilhão de Laboratórios, Prédio 10, Sala 524,
CEP, Santa Maria 97105-900, RS, Brazil
e-mail: joaomlenz@gmail.com

Cláudia Garrastazu Ribeiro

Sul-Rio-Grandense Education, Science, and
Technology Federal Institute,
Av. Paul Harris, 410, Centro CEP,
Santana do Livramento 97574-360, RS, Brazil
e-mail: claudiagarrastazu@gmail.com

Felix Alberto Farret

Federal University of Santa Maria Programa de
Pós-Graduação em Engenharia Elétrica,
Av. Roraima n° 1000, Campus Universitário,
Bairro Camobi,
Centro de Tecnologia (CT) Pavilhão de
Laboratórios, Prédio 10, Sala 524,
CEP, Santa Maria 97105-900, RS, Brazil
e-mail: fafarret@gmail.com

1Corresponding author.

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT,AND CONTROL. Manuscript received April 19, 2017; final manuscript received May 2, 2018; published online May 28, 2018. Assoc. Editor: Ryozo Nagamune.

J. Dyn. Sys., Meas., Control 140(10), 101012 (May 28, 2018) (7 pages) Paper No: DS-17-1205; doi: 10.1115/1.4040212 History: Received April 19, 2017; Revised May 02, 2018

An emulator for the nonconventional Magnus wind turbine was designed and developed in this study. A brief discussion is made of this special case of horizontal axis wind generator and of the main physics principles involving the Magnus phenomenon. A mathematical model was used to emulate the static behavior of the Magnus wind turbine and a detailed analysis is presented about its peculiar rotating cylinder characteristics. Based on the relationship between cylinder blade rotation and power coefficient, a hill climb search algorithm was developed to perform maximum power point tracking. The impact of the cylinder's rotation speed on the turbine net output power was evaluated. A controlled direct current motor was used to provide torque, based on the Magnus turbine model, and drive a permanent magnet synchronous generator (PMSG); the latter was controlled by a buck converter in order to extract the maximum generated power (MGP). Simulations of the Magnus wind turbine model and its maximum power point tracking (MPPT) control are also presented. A prototype of the proposed emulator was developed and operated by a user-friendly LabVIEW interface. Measurements of the power delivered to the load were acquired for different wind speeds; these results were analyzed and compared with simulated values showing a good behavior of the emulator with respect to the turbine model. The proposed control technique for maximizing the output power was validated by emulated results. The modeling and development of the Magnus turbine emulator also serve to encourage further studies on generation and control with this wind machine.

Copyright © 2018 by ASME
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Fig. 1

Magnus wind turbine and Magnus effect aerodynamics forces, where V is the wind velocity and ωC the rotational cylinder velocity

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Fig. 2

Behavior of Magnus turbine power coefficient relative to θ and λ

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Fig. 3

Diagram with proposed emulator main elements

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Fig. 4

Power and control elements for armature current regulation

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Fig. 5

Closed-loop armature current block diagram

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Fig. 6

Compensated loop frequency response

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Fig. 7

LabVIEW GUI command panel for the whole emulator system

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Fig. 8

Flowchart of HCS algorithm

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Fig. 9

Block diagram of the proposed Magnus WT emulator

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Fig. 10

Direct relation between TSR and cylinder relative speed

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Fig. 11

Turbine power coefficient versus cylinder relative speed

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Fig. 12

Tracking of θ for maximum power coefficient

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Fig. 13

Magnus turbine output power and torque behavior

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Fig. 14

Emulating results for various conditions of power and wind speed



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