FPGA implementation of modified reconfigurable adaptive gain scheduling controller

المؤلفون المشاركون

Hasan, Muhammad Yusuf
Wahid, Ali R.
Isa, Abbas Husayn

المصدر

Engineering and Technology Journal

العدد

المجلد 39، العدد 7 (31 يوليو/تموز 2021)

الناشر

الجامعة التكنولوجية

تاريخ النشر

2021-07-31

دولة النشر

العراق

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الموضوعات

الملخص EN

This article aims to put forward a modified type of adaptive gain scheduling that will be able to deal with the immeasurable and unpredictable variations of system variables by adapting its value at each time instance to follow any change in the input and overcome any disturbance applied to the system without the need to predetermine gains values.

In addition, the inverse neural controller will precede the gain scheduling to eliminate the need for complex system linear zing and parameter estimation.

Therefore, the problems of needing complex mathematics for system linearization and gains calculations have been solved.

The performance of the presented controller was tested by comparing the step response of a DC-motor controlled via the proposed technique and the response of that motor when controlled by the inverse neural controller and PID controller.

MATLAB/Simulink has been used for making the simulations and obtaining the results.

In addition, the FPGA implementation of the proposed controller has been presented.

The results showed a remarkable improvement in the transient response of the system for all of the rising time, delay time, settling time, peak overshoot, and steady-state This article aims to put forward a modified type of adaptive gain scheduling that will be able to deal with the immeasurable and unpredictable variations of system variables by adapting its value at each time instance to follow any change in the input and overcome any disturbance applied to the system without the need to predetermine gains values.

In addition, the inverse neural controller will precede the gain scheduling to eliminate the need for complex system linear zing and parameter estimation.

Therefore, the problems of needing complex mathematics for system linearization and gains calculations have been solved.

The performance of the presented controller was tested by comparing the step response of a DC-motor controlled via the proposed technique and the response of that motor when controlled by the inverse neural controller and PID controller.

MATLAB/Simulink has been used for making the simulations and obtaining the results.

In addition, the FPGA implementation of the proposed controller has been presented.

The results showed a remarkable improvement in the transient response of the system for all of the rising time, delay time, settling time, peak overshoot, and steady-state error.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Wahid, Ali R.& Isa, Abbas Husayn& Hasan, Muhammad Yusuf. 2021. FPGA implementation of modified reconfigurable adaptive gain scheduling controller. Engineering and Technology Journal،Vol. 39, no. 7.
https://search.emarefa.net/detail/BIM-1281538

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Wahid, Ali R.…[et al.]. FPGA implementation of modified reconfigurable adaptive gain scheduling controller. Engineering and Technology Journal Vol. 39, no. 7 (2021).
https://search.emarefa.net/detail/BIM-1281538

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Wahid, Ali R.& Isa, Abbas Husayn& Hasan, Muhammad Yusuf. FPGA implementation of modified reconfigurable adaptive gain scheduling controller. Engineering and Technology Journal. 2021. Vol. 39, no. 7.
https://search.emarefa.net/detail/BIM-1281538

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 1115-1116

رقم السجل

BIM-1281538