Optimal quantitative H2 controller design for twin rotor MIMO system
المؤلفون المشاركون
Ali, Hazim I.
Khribit, Mustafa K.
المصدر
Engineering and Technology Journal
العدد
المجلد 38، العدد 12A (31 ديسمبر/كانون الأول 2020)، ص ص. 1880-1893، 14ص.
الناشر
تاريخ النشر
2020-12-31
دولة النشر
العراق
عدد الصفحات
14
التخصصات الرئيسية
العلوم الهندسية والتكنولوجية (متداخلة التخصصات)
الموضوعات
الملخص EN
In this paper, the control approach is used for achieving the desired performance and stability of the twin-rotor MIMO system.
This system is considered one of the complex multiple inputs ofmultiple-output systems.
The complexity because of the high nonlinearity, significant cross-coupling and parameteruncertainty makesthe control of such systems is a very challenging task.
The dynamic of the Twin Rotor MIMO System (TRMS) is the same as that in helicoptersin many aspects.
The Quantitative Feedback Theory (QFT) controller is added to the control to enhance the control algorithm and to satisfy a more desirable performance.
QFT is one of the frequency domain techniques that is used to achieve a desirable robust control in presence of system parameters variation.
Therefore, a combination between control and QFT is presented in this paper to give a new efficient control algorithm.
On the other hand, to obtain the optimal values of the controller parameters, Particle Swarm Optimization (PSO) which is one of the powerful optimization methods is used.
The results show that the proposed quantitative control can achieve more desirable performance in comparison to control especially in attenuating the cross-coupling and eliminating the steady-state cross-coupling and parameteruncertainty makesthe control of such systems is a very challenging task.
The dynamic of the Twin Rotor MIMO System (TRMS) is the same as that in helicoptersin many aspects.
The Quantitative Feedback Theory (QFT) controller is added to the control to enhance the control algorithm and to satisfy a more desirable performance.
QFT is one of the frequency domain techniques that is used to achieve a desirable robust control in presence of system parameters variation.
Therefore, a combination between control and QFT is presented in this paper to give a new efficient control algorithm.
On the other hand, to obtain the optimal values of the controller parameters, Particle Swarm Optimization (PSO) which is one of the powerful optimization methods is used.
The results show that the proposed quantitative control can achieve more desirable performance in comparison to control especially in attenuating the cross-coupling and eliminating the steady-state error
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Khribit, Mustafa K.& Ali, Hazim I.. 2020. Optimal quantitative H2 controller design for twin rotor MIMO system. Engineering and Technology Journal،Vol. 38, no. 12A, pp.1880-1893.
https://search.emarefa.net/detail/BIM-1020855
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Khribit, Mustafa K.& Ali, Hazim I.. Optimal quantitative H2 controller design for twin rotor MIMO system. Engineering and Technology Journal Vol. 38, no. 12A (2020), pp.1880-1893.
https://search.emarefa.net/detail/BIM-1020855
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Khribit, Mustafa K.& Ali, Hazim I.. Optimal quantitative H2 controller design for twin rotor MIMO system. Engineering and Technology Journal. 2020. Vol. 38, no. 12A, pp.1880-1893.
https://search.emarefa.net/detail/BIM-1020855
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 1893-1894
رقم السجل
BIM-1020855
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر