PID Control for 4 Rotor Flying Robot Using Neural Network for Automatic Adjustment of PID Gains-Reference-Cited by-同舟云学术

PID Control for 4 Rotor Flying Robot Using Neural Network for Automatic Adjustment of PID Gains

Published:2021-03-01 Issue:3 Volume:141 Page:464-470
ISSN:0385-4221
Container-title:IEEJ Transactions on Electronics, Information and Systems
language:en
Short-container-title:IEEJ Trans.EIS

Author:

Zhang Bin¹,Furukawa Shoji¹,Lim Hun-ok¹

Affiliation:

1. Robotics Labs., Kanagawa University

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering

Link

https://www.jstage.jst.go.jp/article/ieejeiss/141/3/141_464/_pdf

Reference9 articles.

1. (2) D. Gurdan, J. Stumpf, M. Achtelik, K. M. Doth, G. Hirzinger, and D. Rus : “Energy Efficient Autonomous Four-Rotor Flying Robot Controlled at 1 kHz”, IEEE International Conference on Robotics and Automation, pp. 361-366 (2007)

2. (4) J. G. Zieglar and N. B. Nichols : “Optimum Settings for Automatic Controllers”, Transactions of the American Society of Mechanical Engineers, Vol. 64, No. 11, pp. 759-768 (1942)

3. (5) B. Kada and Y. Ghazzawi : “Robust PID Controller Design for an UAV Flight Control System”, Proceedings of the World congress on Engineering and Computer Science, pp. 945-950 (2011)

4. (6) G.Yoon, A. Yamamoto, and H. Lim : “Mechanism and Neurak Network Based on PID Control of Quadcopter”, 16th International Conference on Control, Automation and Systems, pp. 19-24 (2016)

5. (7) S. Furukawa, S. Kondo, A. Takanishi, and H. Lim : “Radial Basis Function Neural Network Based PID Control for Quad-rotor Flying Robot”, 17th International Conference on Control, Automation and Systems, pp. 580-584 (2017)

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