A field bus network with can protocol and a fuzzy neural petri net controller
Other Title(s)
شبكة الناقل الحقلي المعتمدة على بروتوكول CAN مع مسيطر حرارة مبنى بخوارزمية Fuzzy-Neural-Petri Net
Joint Authors
Ali, Abd al-Azim Abd al-Karim
Marhun, Ali Fadil
Abd, Ali Ahmad
Islam, Nauman
Source
Issue
Vol. 31, Issue 2A (30 Jun. 2013), pp.86-102, 17 p.
Publisher
University of Basrah College of Science
Publication Date
2013-06-30
Country of Publication
Iraq
No. of Pages
17
Main Subjects
Topics
Abstract AR
في شبكات الناقل الحقلي فإن هناك مجموعة من الحساسات الذكية المربوطة مع بعضها وظيفيا و التي تتطلب مبادلة البيانات بشكل دقيق و ضمن زمن محدد.
في هذا البحث قدمت طريقة لنظام سيطرة موزع حقيقي لمنظومة حرارة.
البرامج المضمنة للمسيطرات المكونة للشبكة تم كتابتها بلغة C.
البروتوكول المعتمد للشبكة هو بروتوكول CAN ذات المواصفات العالية.
المسيطر الرقمي الذي تم بناءه لمنظومة السيطرة يعتمد على مبدأ المنطق المضبب المعزز بمكيانيكية الشبكات العصبية و التي تم إضافة طبقة جديدة لها هي طبقة الـ Petri .
تم بناء هذا المسيطر بأسلوب السيطرة الأمامي.
أيضا تم تعليم المسيطر أولا كـ offline للحصول على بيانات يتم التدريب عليها بالنسبة للـ online controller.
المنظومة بنيت عمليا و طبقت على منظومة حرارة (حمام ماء) صناعية لإثبات صحة العمل و النتائج.
Abstract EN
In field bus systems different smart sensors are functionally interconnected, requiring exchange of information accurately with a specified communication latency and sample time.
This paper describes implementation methodologies of efficient distributed real time controllers for monitoring and actuation.
Software for these controllers with CAN communication protocol are written.
CAN-Based embedded microcontrollers and transceivers are used for the practical implementation.
Temperature control by a robust neural fuzzy Petri net (RNFPN) controller based on an indirect forward control structure is also proposed.
After offline learning to get the initial weights, the RNFPN is online constructed by concurrent structure / parameter learning.
The RNFPN has many advantages when applied to temperature control plants such as : high learning ability which reduces the controller training time, no a priori knowledge of the plant is required which simplifies the design task, and lastly the high control performance.
As a case study, the field bus system is tested with a water bath temperature control system.
The RNFPN control of the plant is implemented in the host computer connected to the master controller via the RS232 port.
Implementation results provide a good indication that the CAN protocol is a high reliable and can be potentially adopted in numerous industrial applications.
Also, the RNFPN intelligent controller has a reasonable robustness against disturbance, rapidity and good dynamic performance.
American Psychological Association (APA)
Abd, Ali Ahmad& Ali, Abd al-Azim Abd al-Karim& Marhun, Ali Fadil& Islam, Nauman. 2013. A field bus network with can protocol and a fuzzy neural petri net controller. Basrah Journal of Science،Vol. 31, no. 2A, pp.86-102.
https://search.emarefa.net/detail/BIM-336112
Modern Language Association (MLA)
Abd, Ali Ahmad…[et al.]. A field bus network with can protocol and a fuzzy neural petri net controller. Basrah Journal of Science Vol. 31, no. 2-A (2013), pp.86-102.
https://search.emarefa.net/detail/BIM-336112
American Medical Association (AMA)
Abd, Ali Ahmad& Ali, Abd al-Azim Abd al-Karim& Marhun, Ali Fadil& Islam, Nauman. A field bus network with can protocol and a fuzzy neural petri net controller. Basrah Journal of Science. 2013. Vol. 31, no. 2A, pp.86-102.
https://search.emarefa.net/detail/BIM-336112
Data Type
Journal Articles
Language
English
Notes
Includes appendicx : p. 100-101
Record ID
BIM-336112