Adaptive PID controller based on Lyapunov function neural network for time delay temperature control

Muhammad Saleheen Aftab, Muhammad Shafiq

نتاج البحث

5 اقتباسات (Scopus)

ملخص

Temperature is an important control variable in industrial processes. In this paper, an adaptive PID control algorithm has been discussed to track the process temperature. The presented control algorithm employs Lyapunov function based artificial neural networks for online tuning of proportional, integral and derivative actions. This algorithm has been successfully tested on the laboratory temperature control process trainer. For comparative analysis, the results have been contrasted with the conventional PID scheme. The experimental findings show that improved and stable tracking is achieved with the proposed adaptive PID controller.

اللغة الأصليةEnglish
عنوان منشور المضيف2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015
ناشرInstitute of Electrical and Electronics Engineers Inc.
رقم المعيار الدولي للكتب (الإلكتروني)9781479984220
المعرِّفات الرقمية للأشياء
حالة النشرPublished - مارس 12 2015
الحدث2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015 - Muscat
المدة: فبراير ١ ٢٠١٥فبراير ٤ ٢٠١٥

سلسلة المنشورات

الاسم2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015

Other

Other2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015
الدولة/الإقليمOman
المدينةMuscat
المدة٢/١/١٥٢/٤/١٥

ASJC Scopus subject areas

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بصمة

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