### Abstract

The altitude control is one of the important factors in controlling the heavy-lift hexacopter. This altitude control needs precise control since the heavy-lift hexacopter moves based on the speed of its driving motors. This paper uses a control based on Direct Inverse Controller with Neural Network Algorithm. The algorithm which used in this paper is Elman Recurrent Neural Network compared with Backpropagation Neural Network. The Backpropagation is the most used algorithm in Neural Network. In the testing result, The Elman Recurrent Neural Network algorithm result in smaller MSE value and capable to keep up with given data test compared with Backpropagation Neural Network algorithm.

Original language | English |
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Title of host publication | Proceedings of 2018 International Conference on Electrical Engineering and Computer Science, ICECOS 2018 |

Publisher | Institute of Electrical and Electronics Engineers Inc. |

Pages | 79-84 |

Number of pages | 6 |

ISBN (Electronic) | 9781538657201 |

DOIs | |

Publication status | Published - 7 Jan 2019 |

Event | 2018 International Conference on Electrical Engineering and Computer Science, ICECOS 2018 - Pangkal Pinang, Indonesia Duration: 2 Oct 2018 → 4 Oct 2018 |

### Publication series

Name | Proceedings of 2018 International Conference on Electrical Engineering and Computer Science, ICECOS 2018 |
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### Conference

Conference | 2018 International Conference on Electrical Engineering and Computer Science, ICECOS 2018 |
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Country | Indonesia |

City | Pangkal Pinang |

Period | 2/10/18 → 4/10/18 |

### Fingerprint

### Keywords

- Altitude Control
- Backpropagation Neural Network
- Direct Inverse Controller
- Elman Recurrent Neural Network
- Heavy-lift Hexacopter

### Cite this

*Proceedings of 2018 International Conference on Electrical Engineering and Computer Science, ICECOS 2018*(pp. 79-84). [8605240] (Proceedings of 2018 International Conference on Electrical Engineering and Computer Science, ICECOS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECOS.2018.8605240

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*Proceedings of 2018 International Conference on Electrical Engineering and Computer Science, ICECOS 2018.*, 8605240, Proceedings of 2018 International Conference on Electrical Engineering and Computer Science, ICECOS 2018, Institute of Electrical and Electronics Engineers Inc., pp. 79-84, 2018 International Conference on Electrical Engineering and Computer Science, ICECOS 2018, Pangkal Pinang, Indonesia, 2/10/18. https://doi.org/10.1109/ICECOS.2018.8605240

**A Comparison of Back Propagation Neural Network and Elman Recurrent Neural Network Algorithms on Altitude Control of Heavy-lift Hexacopter Based on Direct Inverse Control.** / Suprapto, Bhakti Yudho; Putro, Benyamin Kusumo.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

TY - GEN

T1 - A Comparison of Back Propagation Neural Network and Elman Recurrent Neural Network Algorithms on Altitude Control of Heavy-lift Hexacopter Based on Direct Inverse Control

AU - Suprapto, Bhakti Yudho

AU - Putro, Benyamin Kusumo

PY - 2019/1/7

Y1 - 2019/1/7

N2 - The altitude control is one of the important factors in controlling the heavy-lift hexacopter. This altitude control needs precise control since the heavy-lift hexacopter moves based on the speed of its driving motors. This paper uses a control based on Direct Inverse Controller with Neural Network Algorithm. The algorithm which used in this paper is Elman Recurrent Neural Network compared with Backpropagation Neural Network. The Backpropagation is the most used algorithm in Neural Network. In the testing result, The Elman Recurrent Neural Network algorithm result in smaller MSE value and capable to keep up with given data test compared with Backpropagation Neural Network algorithm.

AB - The altitude control is one of the important factors in controlling the heavy-lift hexacopter. This altitude control needs precise control since the heavy-lift hexacopter moves based on the speed of its driving motors. This paper uses a control based on Direct Inverse Controller with Neural Network Algorithm. The algorithm which used in this paper is Elman Recurrent Neural Network compared with Backpropagation Neural Network. The Backpropagation is the most used algorithm in Neural Network. In the testing result, The Elman Recurrent Neural Network algorithm result in smaller MSE value and capable to keep up with given data test compared with Backpropagation Neural Network algorithm.

KW - Altitude Control

KW - Backpropagation Neural Network

KW - Direct Inverse Controller

KW - Elman Recurrent Neural Network

KW - Heavy-lift Hexacopter

UR - http://www.scopus.com/inward/record.url?scp=85061929959&partnerID=8YFLogxK

U2 - 10.1109/ICECOS.2018.8605240

DO - 10.1109/ICECOS.2018.8605240

M3 - Conference contribution

T3 - Proceedings of 2018 International Conference on Electrical Engineering and Computer Science, ICECOS 2018

SP - 79

EP - 84

BT - Proceedings of 2018 International Conference on Electrical Engineering and Computer Science, ICECOS 2018

PB - Institute of Electrical and Electronics Engineers Inc.

ER -