Dynamic optimization for controller tuning with embedded safety and response quality measures

Controller tuning is needed to select the optimum response for the controlled process. This work presents a new tuning procedure of PID controllers with safety and response quality measures on a non-linear process model by optimization procedure, with a demonstration of two tanks in series. The mode...

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Main Authors: Ahamad, Intan Salwani, Choong, Thomas Shean Yaw, Yunus, Robiah, Chuah, Teong Guan, Vassiliadis, Vassilis S.
Format: Article
Language:English
Published: Universiti Putra Malaysia Press 2011
Online Access:http://psasir.upm.edu.my/id/eprint/32793/
http://psasir.upm.edu.my/id/eprint/32793/1/%2322%20Pg%20397-414.pdf
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author Ahamad, Intan Salwani
Choong, Thomas Shean Yaw
Yunus, Robiah
Chuah, Teong Guan
Vassiliadis, Vassilis S.
author_facet Ahamad, Intan Salwani
Choong, Thomas Shean Yaw
Yunus, Robiah
Chuah, Teong Guan
Vassiliadis, Vassilis S.
author_sort Ahamad, Intan Salwani
building UPM Institutional Repository
collection Online Access
description Controller tuning is needed to select the optimum response for the controlled process. This work presents a new tuning procedure of PID controllers with safety and response quality measures on a non-linear process model by optimization procedure, with a demonstration of two tanks in series. The model was developed to include safety constraints in the form of path constraints. The model was then solved with a new optimization solver, NLPOPT1, which uses a primal-dual interior point method with a novel non-monotone line search procedure with discretized penalty parameters. This procedure generated a grid of optimal PID tuning parameters for various switching of steady-states to be used as a predictor of PID tunings for arbitrary transitions. The interpolation of tuning parameters between the available parameters was found to be capable to produce state profiles with no violation on the safety measures, while maintaining the quality of the solution with the final set points targeted achievable.
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publishDate 2011
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spelling upm-327932016-01-26T03:18:53Z http://psasir.upm.edu.my/id/eprint/32793/ Dynamic optimization for controller tuning with embedded safety and response quality measures Ahamad, Intan Salwani Choong, Thomas Shean Yaw Yunus, Robiah Chuah, Teong Guan Vassiliadis, Vassilis S. Controller tuning is needed to select the optimum response for the controlled process. This work presents a new tuning procedure of PID controllers with safety and response quality measures on a non-linear process model by optimization procedure, with a demonstration of two tanks in series. The model was developed to include safety constraints in the form of path constraints. The model was then solved with a new optimization solver, NLPOPT1, which uses a primal-dual interior point method with a novel non-monotone line search procedure with discretized penalty parameters. This procedure generated a grid of optimal PID tuning parameters for various switching of steady-states to be used as a predictor of PID tunings for arbitrary transitions. The interpolation of tuning parameters between the available parameters was found to be capable to produce state profiles with no violation on the safety measures, while maintaining the quality of the solution with the final set points targeted achievable. Universiti Putra Malaysia Press 2011-07 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/32793/1/%2322%20Pg%20397-414.pdf Ahamad, Intan Salwani and Choong, Thomas Shean Yaw and Yunus, Robiah and Chuah, Teong Guan and Vassiliadis, Vassilis S. (2011) Dynamic optimization for controller tuning with embedded safety and response quality measures. Pertanika Journal of Science & Technology, 19 (2). pp. 397-414. ISSN 0128-7680; ESSN: 2231-8526 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2019%20%282%29%20Jul.%202011/%2322%20Pg%20397-414.pdf
spellingShingle Ahamad, Intan Salwani
Choong, Thomas Shean Yaw
Yunus, Robiah
Chuah, Teong Guan
Vassiliadis, Vassilis S.
Dynamic optimization for controller tuning with embedded safety and response quality measures
title Dynamic optimization for controller tuning with embedded safety and response quality measures
title_full Dynamic optimization for controller tuning with embedded safety and response quality measures
title_fullStr Dynamic optimization for controller tuning with embedded safety and response quality measures
title_full_unstemmed Dynamic optimization for controller tuning with embedded safety and response quality measures
title_short Dynamic optimization for controller tuning with embedded safety and response quality measures
title_sort dynamic optimization for controller tuning with embedded safety and response quality measures
url http://psasir.upm.edu.my/id/eprint/32793/
http://psasir.upm.edu.my/id/eprint/32793/
http://psasir.upm.edu.my/id/eprint/32793/1/%2322%20Pg%20397-414.pdf