controller. The result shows that the proposed controller reduced the overshoot and steady state error of the pneumatic actuator system to no overshoot and 0.025mm respectively. Index terms: System identification, recursive least square, ARX, dead zone compensator, pneumatic actuator
In this paper, a nonlinear mathematical modeling based on fundamental physical derivation is presented. The mass flow rate, pressure dynamic and equation of motion are derived referring to the previous research. Simulation work is done to confirm the model based on this derivation. Cascade control b...
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Australian Journal of Basic and Applied Sciences
2011
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Online Access: | http://eprints.utem.edu.my/id/eprint/14186/1/Nonlinear_Modelling_Pneumatic.pdf http://eprints.utem.edu.my/id/eprint/14186/ |
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my.utem.eprints.141862015-05-28T04:36:45Z http://eprints.utem.edu.my/id/eprint/14186/ controller. The result shows that the proposed controller reduced the overshoot and steady state error of the pneumatic actuator system to no overshoot and 0.025mm respectively. Index terms: System identification, recursive least square, ARX, dead zone compensator, pneumatic actuator Mohd Fua'ad , Rahmat Syed Salim , Syed Najib Ahmad 'Athif , Mohd Faudzi Zool Hilmi, Ismail Noorhazirah, Sunar Kamaruzaman, Jusoff TJ Mechanical engineering and machinery TS Manufactures TK Electrical engineering. Electronics Nuclear engineering In this paper, a nonlinear mathematical modeling based on fundamental physical derivation is presented. The mass flow rate, pressure dynamic and equation of motion are derived referring to the previous research. Simulation work is done to confirm the model based on this derivation. Cascade control based on PID and P controller is designed through simulation in SIMULINK where the parameters of the controller are obtained through PID with optimization toolbox. The results reveal that both step and sinusoidal response test, the cascade controller consistently indicates outperform performance compared to classical PID method. In future, it is recommended to apply this technique to the real-time implementation. Australian Journal of Basic and Applied Sciences 2011 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/14186/1/Nonlinear_Modelling_Pneumatic.pdf Mohd Fua'ad , Rahmat and Syed Salim , Syed Najib and Ahmad 'Athif , Mohd Faudzi and Zool Hilmi, Ismail and Noorhazirah, Sunar and Kamaruzaman, Jusoff (2011) controller. The result shows that the proposed controller reduced the overshoot and steady state error of the pneumatic actuator system to no overshoot and 0.025mm respectively. Index terms: System identification, recursive least square, ARX, dead zone compensator, pneumatic actuator. Non-linear Modeling and Cascade Control of an Industrial Pneumatic Actuator System, 5 (8). pp. 465-477. ISSN 1991-8178 |
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TJ Mechanical engineering and machinery TS Manufactures TK Electrical engineering. Electronics Nuclear engineering Mohd Fua'ad , Rahmat Syed Salim , Syed Najib Ahmad 'Athif , Mohd Faudzi Zool Hilmi, Ismail Noorhazirah, Sunar Kamaruzaman, Jusoff controller. The result shows that the proposed controller reduced the overshoot and steady state error of the pneumatic actuator system to no overshoot and 0.025mm respectively. Index terms: System identification, recursive least square, ARX, dead zone compensator, pneumatic actuator |
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In this paper, a nonlinear mathematical modeling based on fundamental physical derivation is presented. The mass flow rate, pressure dynamic and equation of motion are derived referring to the previous research. Simulation work is done to confirm the model based on this derivation. Cascade control based on PID and P controller is designed through simulation in SIMULINK where the
parameters of the controller are obtained through PID with optimization toolbox. The results reveal that both step and sinusoidal response test, the cascade controller consistently indicates outperform performance compared to classical PID method. In future, it is recommended to apply this technique to the real-time implementation. |
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Article |
author |
Mohd Fua'ad , Rahmat Syed Salim , Syed Najib Ahmad 'Athif , Mohd Faudzi Zool Hilmi, Ismail Noorhazirah, Sunar Kamaruzaman, Jusoff |
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Mohd Fua'ad , Rahmat Syed Salim , Syed Najib Ahmad 'Athif , Mohd Faudzi Zool Hilmi, Ismail Noorhazirah, Sunar Kamaruzaman, Jusoff |
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Mohd Fua'ad , Rahmat |
title |
controller. The result shows that the proposed controller reduced the overshoot and steady state error of the pneumatic actuator system to no overshoot and 0.025mm respectively.
Index terms: System identification, recursive least square, ARX, dead zone compensator, pneumatic actuator |
title_short |
controller. The result shows that the proposed controller reduced the overshoot and steady state error of the pneumatic actuator system to no overshoot and 0.025mm respectively.
Index terms: System identification, recursive least square, ARX, dead zone compensator, pneumatic actuator |
title_full |
controller. The result shows that the proposed controller reduced the overshoot and steady state error of the pneumatic actuator system to no overshoot and 0.025mm respectively.
Index terms: System identification, recursive least square, ARX, dead zone compensator, pneumatic actuator |
title_fullStr |
controller. The result shows that the proposed controller reduced the overshoot and steady state error of the pneumatic actuator system to no overshoot and 0.025mm respectively.
Index terms: System identification, recursive least square, ARX, dead zone compensator, pneumatic actuator |
title_full_unstemmed |
controller. The result shows that the proposed controller reduced the overshoot and steady state error of the pneumatic actuator system to no overshoot and 0.025mm respectively.
Index terms: System identification, recursive least square, ARX, dead zone compensator, pneumatic actuator |
title_sort |
controller. the result shows that the proposed controller reduced the overshoot and steady state error of the pneumatic actuator system to no overshoot and 0.025mm respectively.
index terms: system identification, recursive least square, arx, dead zone compensator, pneumatic actuator |
publisher |
Australian Journal of Basic and Applied Sciences |
publishDate |
2011 |
url |
http://eprints.utem.edu.my/id/eprint/14186/1/Nonlinear_Modelling_Pneumatic.pdf http://eprints.utem.edu.my/id/eprint/14186/ |
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1665905582851227648 |
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13.160551 |