A data-driven PID controller for flexible joint manipulator using normalized simultaneous perturbation stochastic approximation
This paper presents a data-driven PID control scheme based on Normalized Simultaneous Perturbation Stochastic Approximation (SPSA). Initially, an unstable convergence of conventional SPSA is illustrated, which motivate us to introduce its improved version. Here, the conventional SPSA is modified by...
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Online Access: | http://umpir.ump.edu.my/id/eprint/23227/ http://umpir.ump.edu.my/id/eprint/23227/1/119.%20A%20data-driven%20PID%20controller%20for%20flexible%20joint.pdf http://umpir.ump.edu.my/id/eprint/23227/2/119.1%20A%20data-driven%20PID%20controller%20for%20flexible%20joint.pdf |
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ump-232272019-01-01T12:27:39Z http://umpir.ump.edu.my/id/eprint/23227/ A data-driven PID controller for flexible joint manipulator using normalized simultaneous perturbation stochastic approximation Nik Mohd Zaitul Akmal, Mustapha Mohd Helmi, Suid Raja Mohd Taufika, Raja Ismail Ahmad Nor Kasruddin, Nasir Mohd Ashraf, Ahmad Mohd Zaidi, Mohd Tumari TK Electrical engineering. Electronics Nuclear engineering This paper presents a data-driven PID control scheme based on Normalized Simultaneous Perturbation Stochastic Approximation (SPSA). Initially, an unstable convergence of conventional SPSA is illustrated, which motivate us to introduce its improved version. Here, the conventional SPSA is modified by introducing a normalized gradient approximation to update the design variable. To be more specific, each measurement of the objective function from the perturbations is normalized to the maximum objective function measurement at the current iteration. As a result, this improvement is expected to avoid the updated control parameter from producing an unstable control performance. The effectiveness of the normalized SPSA is tested to datadriven PID control scheme of flexible joint plant. The simulation results are presented in terms of the convergence responses and control performances. The outcome of this paper shows that the data-driven controller tuning using the normalized SPSA is able to provide stable and better control performances as compared to the existing modified SPSA 2018 Conference or Workshop Item NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23227/1/119.%20A%20data-driven%20PID%20controller%20for%20flexible%20joint.pdf pdf en http://umpir.ump.edu.my/id/eprint/23227/2/119.1%20A%20data-driven%20PID%20controller%20for%20flexible%20joint.pdf Nik Mohd Zaitul Akmal, Mustapha and Mohd Helmi, Suid and Raja Mohd Taufika, Raja Ismail and Ahmad Nor Kasruddin, Nasir and Mohd Ashraf, Ahmad and Mohd Zaidi, Mohd Tumari (2018) A data-driven PID controller for flexible joint manipulator using normalized simultaneous perturbation stochastic approximation. In: 7th International Conference on Design and Concurrent Engineering 2018 (IDECON2018), 17 - 18 September 2018 , Kuching, Sarawak. pp. 1-5.. (Unpublished) |
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TK Electrical engineering. Electronics Nuclear engineering |
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TK Electrical engineering. Electronics Nuclear engineering Nik Mohd Zaitul Akmal, Mustapha Mohd Helmi, Suid Raja Mohd Taufika, Raja Ismail Ahmad Nor Kasruddin, Nasir Mohd Ashraf, Ahmad Mohd Zaidi, Mohd Tumari A data-driven PID controller for flexible joint manipulator using normalized simultaneous perturbation stochastic approximation |
description |
This paper presents a data-driven PID control scheme based on Normalized Simultaneous Perturbation Stochastic Approximation (SPSA). Initially, an unstable convergence of conventional SPSA is illustrated, which motivate us to introduce its improved version. Here, the conventional SPSA is modified by introducing a normalized gradient approximation to update the design variable. To be more specific, each measurement of the objective function from the perturbations is normalized to the maximum objective function measurement at the current iteration. As a result, this improvement is expected to avoid the updated control parameter from producing an unstable control performance. The effectiveness of the normalized SPSA is tested to datadriven PID control scheme of flexible joint plant. The simulation results are presented in terms of the convergence responses and control performances. The outcome of this paper shows that the data-driven controller tuning using the normalized SPSA is able to provide stable and better control performances as compared to the existing modified SPSA |
format |
Conference or Workshop Item |
author |
Nik Mohd Zaitul Akmal, Mustapha Mohd Helmi, Suid Raja Mohd Taufika, Raja Ismail Ahmad Nor Kasruddin, Nasir Mohd Ashraf, Ahmad Mohd Zaidi, Mohd Tumari |
author_facet |
Nik Mohd Zaitul Akmal, Mustapha Mohd Helmi, Suid Raja Mohd Taufika, Raja Ismail Ahmad Nor Kasruddin, Nasir Mohd Ashraf, Ahmad Mohd Zaidi, Mohd Tumari |
author_sort |
Nik Mohd Zaitul Akmal, Mustapha |
title |
A data-driven PID controller for flexible joint manipulator using normalized simultaneous perturbation stochastic approximation |
title_short |
A data-driven PID controller for flexible joint manipulator using normalized simultaneous perturbation stochastic approximation |
title_full |
A data-driven PID controller for flexible joint manipulator using normalized simultaneous perturbation stochastic approximation |
title_fullStr |
A data-driven PID controller for flexible joint manipulator using normalized simultaneous perturbation stochastic approximation |
title_full_unstemmed |
A data-driven PID controller for flexible joint manipulator using normalized simultaneous perturbation stochastic approximation |
title_sort |
data-driven pid controller for flexible joint manipulator using normalized simultaneous perturbation stochastic approximation |
publishDate |
2018 |
url |
http://umpir.ump.edu.my/id/eprint/23227/ http://umpir.ump.edu.my/id/eprint/23227/1/119.%20A%20data-driven%20PID%20controller%20for%20flexible%20joint.pdf http://umpir.ump.edu.my/id/eprint/23227/2/119.1%20A%20data-driven%20PID%20controller%20for%20flexible%20joint.pdf |
first_indexed |
2023-09-18T22:34:42Z |
last_indexed |
2023-09-18T22:34:42Z |
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1777416517368938496 |