Learning Feedforward Control Of MIMO Nonlinear Systems Using U-Model

In this paper, a learning feedforward controller (LFFC) using the U-model is proposed for a better tracking control of multivariable nonlinear systems over a finite time interval. The multivariable system is modelled using the U-model and the LFFC is established using Newton-Raphson method. U-model...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Azhar, ASS (author)
مؤلفون آخرون: AL-Sunni, Fouad (author), Shafiq, Muhammad (author), Bakhashwain, JM (author), unknown (author)
التنسيق: article
منشور في: 2020
الموضوعات:
الوصول للمادة أونلاين:https://eprints.kfupm.edu.sa/id/eprint/1973/1/learning_feedforward_control_of_mimo_non_azhar_isip_000250339600047.pdf
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الوصف
الملخص:In this paper, a learning feedforward controller (LFFC) using the U-model is proposed for a better tracking control of multivariable nonlinear systems over a finite time interval. The multivariable system is modelled using the U-model and the LFFC is established using Newton-Raphson method. U-model significantly simplifies the online synthesis of the feedforward control law. The proposed technique is verified on 2-link robot manipulator in real-time. The performance of the proposed U-model based LFFC is compared with a number of schemes under varying load conditions.