Descripción
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In this paper, in order to select a speed controller for a specific non-linear autonomous ground vehicle, proportionalintegral-derivative (PID), Fuzzy, and linear quadratic regulator (LQR) controllers were designed. Here, in order to carry out the tuning of the above controllers, a multicomputer genetic algorithm (MGA) was designed. Then, the results of the MGA were used to parameterize the PID, Fuzzy and LQR controllers and to test them under laboratory conditions. Finally, a comparative analysis of the performance of the three controllers was conducted. | |
Internacional
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Si |
Nombre congreso
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37th Annual Conference of the IEEE Industrial Electronics Society - IECON 2011 |
Tipo de participación
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960 |
Lugar del congreso
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Melbourne, Australia |
Revisores
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Si |
ISBN o ISSN
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978-1-61284-972-0 |
DOI
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Fecha inicio congreso
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07/11/2011 |
Fecha fin congreso
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10/11/2011 |
Desde la página
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2678 |
Hasta la página
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2683 |
Título de las actas
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Proceedings of the 37th Annual Conference of the IEEE Industrial Electronics Society - IECON 2011. |