Educational software tool for decoupling control in wind turbines applied to a lab‐scale system

Fragoso, Sergio; Ruz, Mario L.; Garrido, Juan; Vázquez, Francisco; Morilla, Fernando

doi:10.1002/cae.21718

Cited by 14 publications

(20 citation statements)

References 30 publications

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“…The technical parameters of the system are summarized in Table 1. The process is controlled by a computer where the controllers are implemented using the Real-Time Windows Target toolbox of Matlab/Simulink for additional educational purposes [22]. As first approach, several decoupling controls are designed to reduce the interaction problem and to achieve a good performance in all operational regions.…”

Section: Lab-scale Wind Turbine and Model Descriptionmentioning

confidence: 99%

“…The technical parameters of the system are summarized in Table 1. The process is controlled by a computer where the controllers are implemented using the Real-Time Windows Target toolbox of Matlab/Simulink for additional educational purposes [22]. where the rotational speed ωr and the generated electric power Pg are the two controlled variables, and the blade pitch angle β and the duty cycle α are the two manipulated variables.…”

Section: Lab-scale Wind Turbine and Model Descriptionmentioning

confidence: 99%

Section: Lab-scale Wind Turbine and Model Descriptionmentioning

confidence: 99%

See 2 more Smart Citations

Comparative Analysis of Decoupling Control Methodologies and H∞ Multivariable Robust Control for Variable-Speed, Variable-Pitch Wind Turbines: Application to a Lab-Scale Wind Turbine

et al. 2017

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This work is focused on the improvement of variable-speed variable-pitch wind turbine performance by means of its control structure. This kind of systems can be considered as multivariable nonlinear processes subjected to undesired interactions between variables and presenting different dynamics at different operational zones. This interaction level and the dynamics uncertainties complicate the control system design. The aim of this work is developing multivariable controllers that cope with such problems. The study shows the applicability of different decoupling methodologies and provides a comparison with a H ∞ controller, which is an appropriate strategy to cope with uncertainties. The methodologies have been tested in simulation and verified experimentally in a lab-scale wind turbine. It is demonstrated that the wind turbine presents more interaction at the transition zone. Then, this operational point is used as the nominal one for the controller designs. At this point, decoupling controllers obtain perfect decoupling while the H ∞ control presents important interaction in the generated power loop. On the other hand, they are slightly surpassed by the robust design at other points, where perfect decoupling is not achieved. However, decoupling controllers are easier to design and implement, and specifically dynamic simplified decoupling achieve the best global response. Then, it is concluded that the proposed methodologies can be considered for implantation in industrial wind turbines to improve their performance.

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Section: Lab-scale Wind Turbine and Model Descriptionmentioning

confidence: 99%

“…The technical parameters of the system are summarized in Table 1. The process is controlled by a computer where the controllers are implemented using the Real-Time Windows Target toolbox of Matlab/Simulink for additional educational purposes [22]. where the rotational speed ωr and the generated electric power Pg are the two controlled variables, and the blade pitch angle β and the duty cycle α are the two manipulated variables.…”

Section: Lab-scale Wind Turbine and Model Descriptionmentioning

confidence: 99%

See 1 more Smart Citation

Comparative Analysis of Decoupling Control Methodologies and H∞ Multivariable Robust Control for Variable-Speed, Variable-Pitch Wind Turbines: Application to a Lab-Scale Wind Turbine

et al. 2017

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“…Simulation software has been a main teaching tool, [12][13] for example, the microcontroller Simulation-Proteus contains everything students need to develop, test and virtually prototype their embedded system designs based around the popular series of microcontrollers. Essentially, it is a computer program that converts a computer into a fully virtual microcontroller laboratory like other virtual laboratories.…”

Section: 3the Simulating Platformmentioning

confidence: 99%

Design of a Web-based Teaching Environment for Engineering Education of Undergraduates

Cai¹,

Li²

2017

Proceedings of the International Conference on Social Science, Public Health and Education (SSPHE 2017)

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The increasing use of internet in people's daily life and its continuous development lead to the inevitable use of web-based applications because of their easy access in any place at any time. In this study, a new Web-based teaching environment is developed and presented for the engineering education of undergraduates. The web-based teaching environment model consists of bulletins on major information, materials of major courses, interacting between teachers and students, simulating design, and practicing application (BMISP). The process of engineering education can easily realize the interaction between teachers and students, the interaction between theory and practice, and the interaction between process and result by using the web-based teaching environment. A case based on the web-based teaching environment model for the majority of electronic information engineering in Ningbo Institute of Technology, Zhejiang University (NIT) is introduced as a successful example. Both teachers and students can realize great advantages of the web-based Teaching Environment.

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“…However, this choice is not feasible for many colleges in terms of cost and large area requirements . At this point, the use of small‐scale plants (such as can be considered as simple ad‐hoc solutions. For example, the use of a small‐scale wind turbine for control theory education has been presented in .…”

Section: Introductionmentioning

confidence: 99%

A low‐cost feedback control systems laboratory setup via Arduino–Simulink interface

Uyanik

Catalbas

2018

Comp Applic In Engineering

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Control theory education, when supported by practice, becomes more comprehendible for students and useful for their professional career. This paper presents low‐cost experiments for laboratory sessions of a feedback control systems course, which introduces them modeling feedback control systems, proportional‐integral‐derivative (PID) controller design, root locus and Bode plots. The experiments are organized around the Arduino‐based identification and control of a DC motor via Matlab/Simulink. The objective of this laboratory session is to support teaching feedback control systems via experimental investigations on a low‐cost laboratory kit. The built in‐house setups support Arduino–Simulink interface, so that students can download their control diagrams in Simulink to the Arduino board directly. This interface allows students to utilize high level control design tools, such as Matlab/Simulink while working on a low‐cost hardware laboratory setup. Students’ performance in the written exams before and after the laboratory setup were reported to evaluate the instructional effectiveness. Besides, student feedback for four semesters are also presented to evaluate the effectiveness of the laboratory experiments.

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Educational software tool for decoupling control in wind turbines applied to a lab‐scale system

Cited by 14 publications

References 30 publications

Comparative Analysis of Decoupling Control Methodologies and H∞ Multivariable Robust Control for Variable-Speed, Variable-Pitch Wind Turbines: Application to a Lab-Scale Wind Turbine

Comparative Analysis of Decoupling Control Methodologies and H∞ Multivariable Robust Control for Variable-Speed, Variable-Pitch Wind Turbines: Application to a Lab-Scale Wind Turbine

Design of a Web-based Teaching Environment for Engineering Education of Undergraduates

A low‐cost feedback control systems laboratory setup via Arduino–Simulink interface

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