Scipediacontent: Scipediacontent moved page Draft Content 503467131 to Muliadi Kusumoputro 2018a

2021-02-15T10:06:00Z

Scipediacontent moved page Draft Content 503467131 to Muliadi Kusumoputro 2018a

Scipediacontent: Created page with " == Abstract == This article proposes a comparative method to assess the performance of artificial neural network’s direct inverse control (DIC-ANN) with the PID control sy..."

2021-02-15T10:05:57Z

Created page with " == Abstract == This article proposes a comparative method to assess the performance of artificial neural network’s direct inverse control (DIC-ANN) with the PID control sy..."

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== Abstract ==

This article proposes a comparative method to assess the performance of artificial neural network’s direct inverse control (DIC-ANN) with the PID control system. The comparison served as an analysis tool to assess the advantages of DIC-ANN over conventional control method for a UAV attitude controller. The development of ANN method for UAV control purposes arises due to the limitations of the conventional control method, which is the mathematical based model, involving complex expression, and most of them are difficult to be solved directly into analytic solution. Although the linearization simplified the solving process for such mathematical based model, omitting the nonlinear and the coupling terms is unsuitable for the dynamics of the multirotor vehicle. Thus, the DIC-ANN perform learning mechanism to overcome the limitation of PID tuning. Therefore, the proposed comparative method is developed to obtain conclusive results of DIC-ANN advantages over the linear method in UAV attitude control. Better achievement in the altitude dynamics was attained by the DIC-ANN compared to PID control method.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_503467131-beopen853-3843-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://downloads.hindawi.com/journals/jat/2018/3823201.pdf http://downloads.hindawi.com/journals/jat/2018/3823201.pdf] under the license https://creativecommons.org/licenses/by

* [http://dx.doi.org/10.1155/2018/3823201 http://dx.doi.org/10.1155/2018/3823201] under the license cc-by

* [http://downloads.hindawi.com/journals/jat/2018/3823201.pdf http://downloads.hindawi.com/journals/jat/2018/3823201.pdf],
: [http://downloads.hindawi.com/journals/jat/2018/3823201.xml http://downloads.hindawi.com/journals/jat/2018/3823201.xml],
: [http://dx.doi.org/10.1155/2018/3823201 http://dx.doi.org/10.1155/2018/3823201]

* [http://dx.doi.org/10.1155/2018/3823201 http://dx.doi.org/10.1155/2018/3823201],
: [https://doaj.org/toc/0197-6729 https://doaj.org/toc/0197-6729],
: [https://doaj.org/toc/2042-3195 https://doaj.org/toc/2042-3195] under the license http://creativecommons.org/licenses/by/4.0/

* [https://www.hindawi.com/journals/jat/2018/3823201 https://www.hindawi.com/journals/jat/2018/3823201],
: [http://downloads.hindawi.com/journals/jat/2018/3823201.pdf http://downloads.hindawi.com/journals/jat/2018/3823201.pdf],
: [https://core.ac.uk/display/151109026 https://core.ac.uk/display/151109026],
: [https://academic.microsoft.com/#/detail/2785609098 https://academic.microsoft.com/#/detail/2785609098]

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Muliadi Kusumoputro 2018a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 503467131 to Muliadi Kusumoputro 2018a

Scipediacontent: Created page with " == Abstract == This article proposes a comparative method to assess the performance of artificial neural network’s direct inverse control (DIC-ANN) with the PID control sy..."