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JRM Vol.30 No.3 pp. 390-396
doi: 10.20965/jrm.2018.p0390
(2018)

Paper:

Self-Tuning Neuro-PID Controller for Indoor Entertainment Balloon Robot

Hiroya Nagata*, Soichiro Yokoyama*, Tomohisa Yamashita*, Hiroyuki Iizuka*, Masahito Yamamoto*, Keiji Suzuki**, and Hidenori Kawamura*

*Graduate School of Information Science and Technology, Hokkaido University
Kita 14, Nishi 9, Kita-ku, Sapporo, Hokkaido 060-0814, Japan

**Complex and Intelligent Systems, Future University Hakodate
116-2 Kamedanakano-cho, Hakodate, Hokkaido 041-8655, Japan

Received:
November 30, 2017
Accepted:
April 16, 2018
Published:
June 20, 2018
Keywords:
balloon robots, neuro-PID, self-tuning
Abstract
Self-Tuning Neuro-PID Controller for Indoor Entertainment Balloon Robot

Balloon robot

Proportional-integral-derivative (PID) controllers are a classical control algorithm that are still widely used owing to their simplicity and accuracy. However, tuning the three parameters is difficult. No methods have been known to determine the exact ideal combination of the P, I, and D gains. Moreover, controlling a system that contains dynamics changes over time using fixed parameters is difficult. A self-tuning neuro-PID controller is applied to a balloon robot for indoor entertainment to enhance its accuracy in following a target trajectory. Our experiment shows the effectiveness of the neuro-PID controller over conventional hand-tuned PID controller.

Cite this article as:
H. Nagata, S. Yokoyama, T. Yamashita, H. Iizuka, M. Yamamoto, K. Suzuki, and H. Kawamura, “Self-Tuning Neuro-PID Controller for Indoor Entertainment Balloon Robot,” J. Robot. Mechatron., Vol.30, No.3, pp. 390-396, 2018.
Data files:
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Last updated on Jul. 19, 2018