Cascade control strategy on servo pneumatic system with fuzzy self-adaptive system

Servo pneumatic position control has gained considerable attention due to its superiority in improving the precision of automation and mechatronic systems. This paper presents the proposed cascaded fuzzy self-adaptive with proportional, integral, and derivative (CFSAPID) control strategy in providin...

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Main Authors: Addie Irawan, Hashim, Mohd Iskandar Putra, Azahar
Format: Article
Language:English
English
Published: Springer 2020
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/29917/1/Cascade%20control%20strategy%20on%20servo%20pneumatic%20system.pdf
http://umpir.ump.edu.my/id/eprint/29917/7/Cascade%20Control%20Strategy%20on%20Servo%20Pneumatic%20System%20with%20Fuzzy.pdf
http://umpir.ump.edu.my/id/eprint/29917/
https://doi.org/10.1007/s40313-020-00642-4
https://doi.org/10.1007/s40313-020-00642-4
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Institution: Universiti Malaysia Pahang
Language: English
English
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spelling my.ump.umpir.299172021-10-27T07:31:41Z http://umpir.ump.edu.my/id/eprint/29917/ Cascade control strategy on servo pneumatic system with fuzzy self-adaptive system Addie Irawan, Hashim Mohd Iskandar Putra, Azahar TK Electrical engineering. Electronics Nuclear engineering Servo pneumatic position control has gained considerable attention due to its superiority in improving the precision of automation and mechatronic systems. This paper presents the proposed cascaded fuzzy self-adaptive with proportional, integral, and derivative (CFSAPID) control strategy in providing an accurate rod-piston displacement as desired input with stable pressure in chambers. Unlike the conventional cascade strategy, the control law of proposed CFSAPID was designed based on the Mamdani-type fuzzy approach as a dynamic tuner to each stage in the proportional, integral, and derivative (PID) controller that deals with the nonlinearity of servo pneumatics adequately. The bounder sector zone of Mamdani-type fuzzy was determined based on position and velocity states on servo pneumatic rod–piston, and the parameter was constructed to obtain the optimum gain parameters of PID in each stage. The proposed CFSAPID was verified using a pneumatic proportional valve with a double-acting cylinder dynamic model plant. Simulation and analyses were emphasized on steady-state error, difference in pressures of pneumatic cylinder’s chambers, hysteresis effect, tuning parameters convergence, performance criteria, and performance indices. The results show that the proposed CFSAPID controller was able to withstand the load disturbances, at variable input trajectory with a stable pressure in chambers at almost minimum hysteresis effect compared to the FSAPID and single PID controllers. Springer 2020-09-23 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/29917/1/Cascade%20control%20strategy%20on%20servo%20pneumatic%20system.pdf pdf en http://umpir.ump.edu.my/id/eprint/29917/7/Cascade%20Control%20Strategy%20on%20Servo%20Pneumatic%20System%20with%20Fuzzy.pdf Addie Irawan, Hashim and Mohd Iskandar Putra, Azahar (2020) Cascade control strategy on servo pneumatic system with fuzzy self-adaptive system. Journal of Control, Automation and Electrical Systems, 31 (6). pp. 1412-1425. ISSN 2195-3880 https://doi.org/10.1007/s40313-020-00642-4 https://doi.org/10.1007/s40313-020-00642-4
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
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Addie Irawan, Hashim
Mohd Iskandar Putra, Azahar
Cascade control strategy on servo pneumatic system with fuzzy self-adaptive system
description Servo pneumatic position control has gained considerable attention due to its superiority in improving the precision of automation and mechatronic systems. This paper presents the proposed cascaded fuzzy self-adaptive with proportional, integral, and derivative (CFSAPID) control strategy in providing an accurate rod-piston displacement as desired input with stable pressure in chambers. Unlike the conventional cascade strategy, the control law of proposed CFSAPID was designed based on the Mamdani-type fuzzy approach as a dynamic tuner to each stage in the proportional, integral, and derivative (PID) controller that deals with the nonlinearity of servo pneumatics adequately. The bounder sector zone of Mamdani-type fuzzy was determined based on position and velocity states on servo pneumatic rod–piston, and the parameter was constructed to obtain the optimum gain parameters of PID in each stage. The proposed CFSAPID was verified using a pneumatic proportional valve with a double-acting cylinder dynamic model plant. Simulation and analyses were emphasized on steady-state error, difference in pressures of pneumatic cylinder’s chambers, hysteresis effect, tuning parameters convergence, performance criteria, and performance indices. The results show that the proposed CFSAPID controller was able to withstand the load disturbances, at variable input trajectory with a stable pressure in chambers at almost minimum hysteresis effect compared to the FSAPID and single PID controllers.
format Article
author Addie Irawan, Hashim
Mohd Iskandar Putra, Azahar
author_facet Addie Irawan, Hashim
Mohd Iskandar Putra, Azahar
author_sort Addie Irawan, Hashim
title Cascade control strategy on servo pneumatic system with fuzzy self-adaptive system
title_short Cascade control strategy on servo pneumatic system with fuzzy self-adaptive system
title_full Cascade control strategy on servo pneumatic system with fuzzy self-adaptive system
title_fullStr Cascade control strategy on servo pneumatic system with fuzzy self-adaptive system
title_full_unstemmed Cascade control strategy on servo pneumatic system with fuzzy self-adaptive system
title_sort cascade control strategy on servo pneumatic system with fuzzy self-adaptive system
publisher Springer
publishDate 2020
url http://umpir.ump.edu.my/id/eprint/29917/1/Cascade%20control%20strategy%20on%20servo%20pneumatic%20system.pdf
http://umpir.ump.edu.my/id/eprint/29917/7/Cascade%20Control%20Strategy%20on%20Servo%20Pneumatic%20System%20with%20Fuzzy.pdf
http://umpir.ump.edu.my/id/eprint/29917/
https://doi.org/10.1007/s40313-020-00642-4
https://doi.org/10.1007/s40313-020-00642-4
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