Data-driven PID tuning based on safe experimentation dynamics for control of double-pendulum-type overhead crane

Data-driven PID tuning based on safe experimentation dynamics for control of double-pendulum-type overhead crane

This paper reports an investigation of Data-Driven PID tuning based on Safe Experimentation Dynamics (SED) for control of the Double-Pendulum-Type Overhead Crane (DPTOC) system. The SED algorithm is used to find the optimal PID parameters such that the hook and load swing angles are minimized. Perfo...

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Main Authors: Nor Sakinah, Abdul Shukor, Mohd Ashraf, Ahmad
Format: Book Section
Language:English
English
Published: Springer Singapore 2018
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/21695/
http://umpir.ump.edu.my/id/eprint/21695/
http://umpir.ump.edu.my/id/eprint/21695/
http://umpir.ump.edu.my/id/eprint/21695/1/book31%20Data-driven%20PID%20tuning%20based%20on%20safe%20experimentation%20dynamics%20for%20control%20of%20double-pendulum-type%20overhead%20crane.pdf
http://umpir.ump.edu.my/id/eprint/21695/2/book31.1%20Data-driven%20PID%20tuning%20based%20on%20safe%20experimentation%20dynamics%20for%20control%20of%20double-pendulum-type%20overhead%20crane.pdf
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recordtype eprints
spelling ump-216952018-08-06T07:50:39Z http://umpir.ump.edu.my/id/eprint/21695/ Data-driven PID tuning based on safe experimentation dynamics for control of double-pendulum-type overhead crane Nor Sakinah, Abdul Shukor Mohd Ashraf, Ahmad TK Electrical engineering. Electronics Nuclear engineering This paper reports an investigation of Data-Driven PID tuning based on Safe Experimentation Dynamics (SED) for control of the Double-Pendulum-Type Overhead Crane (DPTOC) system. The SED algorithm is used to find the optimal PID parameters such that the hook and load swing angles are minimized. Performance comparison between the SED based method and Simultaneous Perturbation Stochastic Approximation (SPSA) based method for data-driven PID tuning is observed and discussed. The performance is evaluated by numerical example in terms of trolley trajectory tracking, hook and load swings reduction and control input energy. The findings demonstrated that the SED based data-driven PID is capable to reduce the hook and load swing angles while maintain the desired trolley trajectory position. In addition, faster settling time for control input energy is obtained. Springer Singapore 2018-04-28 Book Section PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/21695/1/book31%20Data-driven%20PID%20tuning%20based%20on%20safe%20experimentation%20dynamics%20for%20control%20of%20double-pendulum-type%20overhead%20crane.pdf pdf en http://umpir.ump.edu.my/id/eprint/21695/2/book31.1%20Data-driven%20PID%20tuning%20based%20on%20safe%20experimentation%20dynamics%20for%20control%20of%20double-pendulum-type%20overhead%20crane.pdf Nor Sakinah, Abdul Shukor and Mohd Ashraf, Ahmad (2018) Data-driven PID tuning based on safe experimentation dynamics for control of double-pendulum-type overhead crane. In: Intelligent Manufacturing & Mechatronics: Proceedings of Symposium, 29 January 2018, Pekan, Pahang, Malaysia. Lecture Notes in Mechanical Engineering . Springer Singapore, Singapore, pp. 295-303. ISBN 9789811087875 https://doi.org/10.1007/978-981-10-8788-2_27 DOI: 10.1007/978-981-10-8788-2_27
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Nor Sakinah, Abdul Shukor
Mohd Ashraf, Ahmad
Data-driven PID tuning based on safe experimentation dynamics for control of double-pendulum-type overhead crane
description This paper reports an investigation of Data-Driven PID tuning based on Safe Experimentation Dynamics (SED) for control of the Double-Pendulum-Type Overhead Crane (DPTOC) system. The SED algorithm is used to find the optimal PID parameters such that the hook and load swing angles are minimized. Performance comparison between the SED based method and Simultaneous Perturbation Stochastic Approximation (SPSA) based method for data-driven PID tuning is observed and discussed. The performance is evaluated by numerical example in terms of trolley trajectory tracking, hook and load swings reduction and control input energy. The findings demonstrated that the SED based data-driven PID is capable to reduce the hook and load swing angles while maintain the desired trolley trajectory position. In addition, faster settling time for control input energy is obtained.
format Book Section
author Nor Sakinah, Abdul Shukor
Mohd Ashraf, Ahmad
author_facet Nor Sakinah, Abdul Shukor
Mohd Ashraf, Ahmad
author_sort Nor Sakinah, Abdul Shukor
title Data-driven PID tuning based on safe experimentation dynamics for control of double-pendulum-type overhead crane
title_short Data-driven PID tuning based on safe experimentation dynamics for control of double-pendulum-type overhead crane
title_full Data-driven PID tuning based on safe experimentation dynamics for control of double-pendulum-type overhead crane
title_fullStr Data-driven PID tuning based on safe experimentation dynamics for control of double-pendulum-type overhead crane
title_full_unstemmed Data-driven PID tuning based on safe experimentation dynamics for control of double-pendulum-type overhead crane
title_sort data-driven pid tuning based on safe experimentation dynamics for control of double-pendulum-type overhead crane
publisher Springer Singapore
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/21695/
http://umpir.ump.edu.my/id/eprint/21695/
http://umpir.ump.edu.my/id/eprint/21695/
http://umpir.ump.edu.my/id/eprint/21695/1/book31%20Data-driven%20PID%20tuning%20based%20on%20safe%20experimentation%20dynamics%20for%20control%20of%20double-pendulum-type%20overhead%20crane.pdf
http://umpir.ump.edu.my/id/eprint/21695/2/book31.1%20Data-driven%20PID%20tuning%20based%20on%20safe%20experimentation%20dynamics%20for%20control%20of%20double-pendulum-type%20overhead%20crane.pdf
first_indexed 2023-09-18T22:31:56Z
last_indexed 2023-09-18T22:31:56Z
_version_ 1777416343378722816

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