Version 1
: Received: 22 April 2020 / Approved: 23 April 2020 / Online: 23 April 2020 (10:24:14 CEST)
How to cite:
Garbaabaa, H.A.; Geda, M.G.; Wase, M.G.; Ranganathan, S.; Jin, G.; Son, Y. A Self-Tuning NPID Control Method for FOPTD Processes. Preprints2020, 2020040410. https://doi.org/10.20944/preprints202004.0410.v1
Garbaabaa, H.A.; Geda, M.G.; Wase, M.G.; Ranganathan, S.; Jin, G.; Son, Y. A Self-Tuning NPID Control Method for FOPTD Processes. Preprints 2020, 2020040410. https://doi.org/10.20944/preprints202004.0410.v1
Garbaabaa, H.A.; Geda, M.G.; Wase, M.G.; Ranganathan, S.; Jin, G.; Son, Y. A Self-Tuning NPID Control Method for FOPTD Processes. Preprints2020, 2020040410. https://doi.org/10.20944/preprints202004.0410.v1
APA Style
Garbaabaa, H.A., Geda, M.G., Wase, M.G., Ranganathan, S., Jin, G., & Son, Y. (2020). A Self-Tuning NPID Control Method for FOPTD Processes. Preprints. https://doi.org/10.20944/preprints202004.0410.v1
Chicago/Turabian Style
Garbaabaa, H.A., Gang-Gyoo Jin and Yung-Deug Son. 2020 "A Self-Tuning NPID Control Method for FOPTD Processes" Preprints. https://doi.org/10.20944/preprints202004.0410.v1
Abstract
Owing to the time-varying characteristics and nonlinearities of industrial processes, control has higher difficulties and results in challenges for advanced technology. In this paper, a self-tuning controller that includes a nonlinear proportional-integral-derivative (NPID) control function as well as a self-tuning function is proposed for first-order plus time delay (FOPTD) process control. The NPID control function is implemented using the nonlinear PID controller whose optimum parameters are adapted by a neural network (NN). The self-tuning function is able to identify the process dynamics using a short period of process behavior and tune NPID parameters based on the identified parameters. The advantage of the proposed method is validated with a set of simulation works on three processes and the comparison results are presented.
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
