صورة الغلاف

System identification and PI neuro-fuzzy control a pneumatic actuator

Pneumatic actuators have a number of advantages over electric motors, including strength-to-weight ratio, tunable compliance at the mechanism level, robustness, as well as the low price. The Intelligent Pneumatic Actuators (IPA) is a new generation of actuators for research and development (R&D)...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Elnimair Abdelrahman, Mohamed Omer
التنسيق: أطروحة
اللغة:English
منشور في: 2013
الموضوعات:
TK Electrical engineering. Electronics Nuclear engineering
الوصول للمادة أونلاين:http://eprints.utm.my/id/eprint/33297/5/MohamedOmerElnimarMFKE2013.pdf
http://eprints.utm.my/id/eprint/33297/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69759?site_name=Restricted Repository
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id my.utm.33297
record_format eprints
spelling my.utm.332972017-09-11T03:21:30Z http://eprints.utm.my/id/eprint/33297/ System identification and PI neuro-fuzzy control a pneumatic actuator Elnimair Abdelrahman, Mohamed Omer TK Electrical engineering. Electronics Nuclear engineering Pneumatic actuators have a number of advantages over electric motors, including strength-to-weight ratio, tunable compliance at the mechanism level, robustness, as well as the low price. The Intelligent Pneumatic Actuators (IPA) is a new generation of actuators for research and development (R&D). This research proposes a force model of IPA based on system identification technique. A proportional derivative adaptive neuro fuzzy controller (PI-ANFIS) is presented to validate the new model with real time results. The position IPA is controlled by P-ANFIS controller in MATLAB simulation environment and applied on the real IPA plant. Thereafter the stiffness characteristic of IPA is tested in simulation environment by using two different control techniques based on the proposed position and force control. Finally, a comparison is made between the obtained results and showed that, the objectives were achieved successfully. 2013-01 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/33297/5/MohamedOmerElnimarMFKE2013.pdf Elnimair Abdelrahman, Mohamed Omer (2013) System identification and PI neuro-fuzzy control a pneumatic actuator. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69759?site_name=Restricted Repository
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Elnimair Abdelrahman, Mohamed Omer
System identification and PI neuro-fuzzy control a pneumatic actuator
description Pneumatic actuators have a number of advantages over electric motors, including strength-to-weight ratio, tunable compliance at the mechanism level, robustness, as well as the low price. The Intelligent Pneumatic Actuators (IPA) is a new generation of actuators for research and development (R&D). This research proposes a force model of IPA based on system identification technique. A proportional derivative adaptive neuro fuzzy controller (PI-ANFIS) is presented to validate the new model with real time results. The position IPA is controlled by P-ANFIS controller in MATLAB simulation environment and applied on the real IPA plant. Thereafter the stiffness characteristic of IPA is tested in simulation environment by using two different control techniques based on the proposed position and force control. Finally, a comparison is made between the obtained results and showed that, the objectives were achieved successfully.
format Thesis
author Elnimair Abdelrahman, Mohamed Omer
author_facet Elnimair Abdelrahman, Mohamed Omer
author_sort Elnimair Abdelrahman, Mohamed Omer
title System identification and PI neuro-fuzzy control a pneumatic actuator
title_short System identification and PI neuro-fuzzy control a pneumatic actuator
title_full System identification and PI neuro-fuzzy control a pneumatic actuator
title_fullStr System identification and PI neuro-fuzzy control a pneumatic actuator
title_full_unstemmed System identification and PI neuro-fuzzy control a pneumatic actuator
title_sort system identification and pi neuro-fuzzy control a pneumatic actuator
publishDate 2013
url http://eprints.utm.my/id/eprint/33297/5/MohamedOmerElnimarMFKE2013.pdf
http://eprints.utm.my/id/eprint/33297/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69759?site_name=Restricted Repository
_version_ 1643649289319088128
score 13.251813

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