Self-tuning hybrid fuzzy sliding surface control for pneumatic servo system positioning

This paper presents a new robust control strategy developed for the pneumatic servo system (PSS) by hybridizing two types of fuzzy logic control (FLC) rules as a self-tuner to the integral sliding mode control (ISMC), namely self-tuning hybrid fuzzy sliding surface control (SH-FSSC) controller. A sl...

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Main Authors: Mohd Iskandar Putra, Azahar, Addie Irawan, Hashim, Raja Mohd Taufika, Raja Ismail
Format: Article
Language:English
Published: Elsevier Ltd 2021
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/31813/1/Self-tuning%20hybrid%20fuzzy%20sliding%20surface%20control%20for%20pneumatic%20servo%20system%20positioning.pdf
http://umpir.ump.edu.my/id/eprint/31813/
https://doi.org/10.1016/j.conengprac.2021.104838
https://doi.org/10.1016/j.conengprac.2021.104838
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spelling my.ump.umpir.318132021-08-25T07:54:34Z http://umpir.ump.edu.my/id/eprint/31813/ Self-tuning hybrid fuzzy sliding surface control for pneumatic servo system positioning Mohd Iskandar Putra, Azahar Addie Irawan, Hashim Raja Mohd Taufika, Raja Ismail TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering This paper presents a new robust control strategy developed for the pneumatic servo system (PSS) by hybridizing two types of fuzzy logic control (FLC) rules as a self-tuner to the integral sliding mode control (ISMC), namely self-tuning hybrid fuzzy sliding surface control (SH-FSSC) controller. A sliding surface consisting of two switched fuzzification rules, relying on the tuning threshold value of the position error tracking, was designed to consider both the position and the force feedback of the pneumatic proportional valve with a double-acting cylinder (PPVDC) system. The approach is to acquire multiple features not only on tracking error but also faster transient response with finite-time convergence, chatter elimination, and robustness against uncertainty. The proposed control strategy was verified and validated by conducting experiments with the actual PPVDC unit linked to the tip of the robot’s tri-finger pneumatic grippers (TPG) platform. The experimental works were accomplished using two types of input trajectories: multi-steps and sinusoidal input trajectories. On the other hand, an additional external payload as a disturbance to the test rig has also been added at the end of the pneumatic gripper jaw, intended to evaluate the proposed controller’s robustness performance. The advantage of the proposed method was validated by significantly eliminating oscillation for each transient response, maintaining high tracking performance, and minimizing hysteresis effects. The oscillation was suppressed with minimal overshoot, and the proposed method was achieved without a significant loss of performance. Elsevier Ltd 2021 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/31813/1/Self-tuning%20hybrid%20fuzzy%20sliding%20surface%20control%20for%20pneumatic%20servo%20system%20positioning.pdf Mohd Iskandar Putra, Azahar and Addie Irawan, Hashim and Raja Mohd Taufika, Raja Ismail (2021) Self-tuning hybrid fuzzy sliding surface control for pneumatic servo system positioning. Control Engineering Practice, 113. pp. 1-20. ISSN 09670661 https://doi.org/10.1016/j.conengprac.2021.104838 https://doi.org/10.1016/j.conengprac.2021.104838
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
Mohd Iskandar Putra, Azahar
Addie Irawan, Hashim
Raja Mohd Taufika, Raja Ismail
Self-tuning hybrid fuzzy sliding surface control for pneumatic servo system positioning
description This paper presents a new robust control strategy developed for the pneumatic servo system (PSS) by hybridizing two types of fuzzy logic control (FLC) rules as a self-tuner to the integral sliding mode control (ISMC), namely self-tuning hybrid fuzzy sliding surface control (SH-FSSC) controller. A sliding surface consisting of two switched fuzzification rules, relying on the tuning threshold value of the position error tracking, was designed to consider both the position and the force feedback of the pneumatic proportional valve with a double-acting cylinder (PPVDC) system. The approach is to acquire multiple features not only on tracking error but also faster transient response with finite-time convergence, chatter elimination, and robustness against uncertainty. The proposed control strategy was verified and validated by conducting experiments with the actual PPVDC unit linked to the tip of the robot’s tri-finger pneumatic grippers (TPG) platform. The experimental works were accomplished using two types of input trajectories: multi-steps and sinusoidal input trajectories. On the other hand, an additional external payload as a disturbance to the test rig has also been added at the end of the pneumatic gripper jaw, intended to evaluate the proposed controller’s robustness performance. The advantage of the proposed method was validated by significantly eliminating oscillation for each transient response, maintaining high tracking performance, and minimizing hysteresis effects. The oscillation was suppressed with minimal overshoot, and the proposed method was achieved without a significant loss of performance.
format Article
author Mohd Iskandar Putra, Azahar
Addie Irawan, Hashim
Raja Mohd Taufika, Raja Ismail
author_facet Mohd Iskandar Putra, Azahar
Addie Irawan, Hashim
Raja Mohd Taufika, Raja Ismail
author_sort Mohd Iskandar Putra, Azahar
title Self-tuning hybrid fuzzy sliding surface control for pneumatic servo system positioning
title_short Self-tuning hybrid fuzzy sliding surface control for pneumatic servo system positioning
title_full Self-tuning hybrid fuzzy sliding surface control for pneumatic servo system positioning
title_fullStr Self-tuning hybrid fuzzy sliding surface control for pneumatic servo system positioning
title_full_unstemmed Self-tuning hybrid fuzzy sliding surface control for pneumatic servo system positioning
title_sort self-tuning hybrid fuzzy sliding surface control for pneumatic servo system positioning
publisher Elsevier Ltd
publishDate 2021
url http://umpir.ump.edu.my/id/eprint/31813/1/Self-tuning%20hybrid%20fuzzy%20sliding%20surface%20control%20for%20pneumatic%20servo%20system%20positioning.pdf
http://umpir.ump.edu.my/id/eprint/31813/
https://doi.org/10.1016/j.conengprac.2021.104838
https://doi.org/10.1016/j.conengprac.2021.104838
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score 13.160551