Data-Driven PID Tuning Based on Safe Experimentation Dynamics for Control of Liquid Slosh

An introductory research about a data-driven PID tuning for the control of liquid slosh system based on Safe Experimentation Dynamics (SED) is presented in this paper. A performance comparison between the SED and Simultaneous Perturbation Stochastic Approximation (SPSA) based method for data-driven...

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Main Authors: Nor Sakinah, Abdul Shukor, Mohd Ashraf, Ahmad, Mohd Zaidi, Mohd Tumari
Format: Conference or Workshop Item
Language:English
Published: IEEE 2017
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/18317/1/Paper%2015_Data-Driven%20PID%20Tuning%20%20Based%20on%20SED%20for%20Control%20of%20Liquid%20Slosh.pdf
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author Nor Sakinah, Abdul Shukor
Mohd Ashraf, Ahmad
Mohd Zaidi, Mohd Tumari
author_facet Nor Sakinah, Abdul Shukor
Mohd Ashraf, Ahmad
Mohd Zaidi, Mohd Tumari
author_sort Nor Sakinah, Abdul Shukor
collection UMP
description An introductory research about a data-driven PID tuning for the control of liquid slosh system based on Safe Experimentation Dynamics (SED) is presented in this paper. A performance comparison between the SED and Simultaneous Perturbation Stochastic Approximation (SPSA) based method for data-driven PID tuning is observed and discussed. The performance is evaluated by numerical examples in terms of tracking performance, control input energy and computation time. The simulation results demonstrated that SED based data driven PID successfully reduced the liquid slosh whilst the desired position of the cart is achieved. In addition, smaller control input energy is used.
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spelling UMPir183172017-12-12T07:20:04Z http://umpir.ump.edu.my/id/eprint/18317/ Data-Driven PID Tuning Based on Safe Experimentation Dynamics for Control of Liquid Slosh Nor Sakinah, Abdul Shukor Mohd Ashraf, Ahmad Mohd Zaidi, Mohd Tumari TK Electrical engineering. Electronics Nuclear engineering An introductory research about a data-driven PID tuning for the control of liquid slosh system based on Safe Experimentation Dynamics (SED) is presented in this paper. A performance comparison between the SED and Simultaneous Perturbation Stochastic Approximation (SPSA) based method for data-driven PID tuning is observed and discussed. The performance is evaluated by numerical examples in terms of tracking performance, control input energy and computation time. The simulation results demonstrated that SED based data driven PID successfully reduced the liquid slosh whilst the desired position of the cart is achieved. In addition, smaller control input energy is used. IEEE 2017 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18317/1/Paper%2015_Data-Driven%20PID%20Tuning%20%20Based%20on%20SED%20for%20Control%20of%20Liquid%20Slosh.pdf Nor Sakinah, Abdul Shukor and Mohd Ashraf, Ahmad and Mohd Zaidi, Mohd Tumari (2017) Data-Driven PID Tuning Based on Safe Experimentation Dynamics for Control of Liquid Slosh. In: 8th IEEE Control and System Graduate Research Colloquium (ICSGRC 2017) , 4-5 August 2017 , Shah Alam, Malaysia. pp. 1-5.. (Published) http://ieeemy.org/mysection/?p=4067
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Nor Sakinah, Abdul Shukor
Mohd Ashraf, Ahmad
Mohd Zaidi, Mohd Tumari
Data-Driven PID Tuning Based on Safe Experimentation Dynamics for Control of Liquid Slosh
title Data-Driven PID Tuning Based on Safe Experimentation Dynamics for Control of Liquid Slosh
title_full Data-Driven PID Tuning Based on Safe Experimentation Dynamics for Control of Liquid Slosh
title_fullStr Data-Driven PID Tuning Based on Safe Experimentation Dynamics for Control of Liquid Slosh
title_full_unstemmed Data-Driven PID Tuning Based on Safe Experimentation Dynamics for Control of Liquid Slosh
title_short Data-Driven PID Tuning Based on Safe Experimentation Dynamics for Control of Liquid Slosh
title_sort data driven pid tuning based on safe experimentation dynamics for control of liquid slosh
topic TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/18317/1/Paper%2015_Data-Driven%20PID%20Tuning%20%20Based%20on%20SED%20for%20Control%20of%20Liquid%20Slosh.pdf
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