Tracking control of piezoelectric actuators using feedforward/Feedback learning-based controller

Ashraf Saleem, Musabah Al Hattali, Mohammed Shafiq, Issam Bahadur

نتاج البحث: Conference contribution

3 اقتباسات (Scopus)

ملخص

Piezoelectric actuators are commonly used in Micro/nanopositioning due to their high stiffness, fast response and ultra-high precision. However, three main factors affect their position tracking performance, namely hysteresis, creep, and structural vibrations. To overcome these limitations, a feedforward/feedback learning-based controller is proposed in this paper. The proposed controller is a learning-based controller that is capable of smoothly tracking continuous sinusoid reference signals. Simulation and experimental results using a commercial amplified piezoelectric actuator attest to the good tracking performance the proposed controller.

اللغة الأصليةEnglish
عنوان منشور المضيف2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019
ناشرInstitute of Electrical and Electronics Engineers Inc.
الصفحات1981-1985
عدد الصفحات5
رقم المعيار الدولي للكتب (الإلكتروني)9781728105215
المعرِّفات الرقمية للأشياء
حالة النشرPublished - أبريل 2019
الحدث6th International Conference on Control, Decision and Information Technologies, CoDIT 2019 - Paris, France
المدة: أبريل ٢٣ ٢٠١٩أبريل ٢٦ ٢٠١٩

سلسلة المنشورات

الاسم2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019

Conference

Conference6th International Conference on Control, Decision and Information Technologies, CoDIT 2019
الدولة/الإقليمFrance
المدينةParis
المدة٤/٢٣/١٩٤/٢٦/١٩

ASJC Scopus subject areas

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بصمة

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