A. Zayed
A novel implicit adaptive pole-placement PID controller
Zayed, A.; El-Fandi, M.; Hussain, A.; El-Fllah, A.
Abstract
In this paper, a new computationally efficient multivariable self-tuning controller with a proportional plus integral plus derivative (PID) is derived. The algorithm features a combination of the self-tuning property, in which the controller parameters tuned automatically on-line, and also the structure of multivariable PID controller, making it more favorable for use in industry. In addition the proposed controller has the ability to place the closed loop poles at their desired positions. It is an implicit algorithm in the sense that the controller step is trivial and avoids solving simultaneous equations ( as is the case in the most of the adaptive pole placement controllers which involve solving a Diophantine equations at each sampling step). Moreover, the multivariable controller is obtained as a left matrix fraction and so can be immediately implemented. It tracks set-point changes with the desired speed of response, penalises excessive control action, and can be applied to non-minimum phase systems. Additionally, at steady state, the controller has the ability to regulate the constant load disturbance to zero. Example simulation results using simulated plant model demonstrate the effectiveness of the proposed controller.
Presentation Conference Type | Conference Paper (Published) |
---|---|
Conference Name | The 20th IASTED International Conference on Modelling and Simulation MS 2009 |
Start Date | Jul 6, 2009 |
End Date | Jul 8, 2009 |
Publication Date | 2009 |
Deposit Date | Oct 11, 2019 |
Publisher | ACTA Press |
Pages | 296-300 |
Keywords | Adaptive control design, pole placement, minimum variance control, water bath system |
Public URL | http://researchrepository.napier.ac.uk/Output/1793481 |
You might also like
Applications of Deep Learning and Reinforcement Learning to Biological Data
(2018)
Journal Article
Guided Policy Search for Sequential Multitask Learning
(2018)
Journal Article
Learning Latent Features With Infinite Nonnegative Binary Matrix Trifactorization
(2018)
Journal Article
Cross-modality interactive attention network for multispectral pedestrian detection
(2018)
Journal Article
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search