Voltage tracking of DC-DC CUK converter using neural network control

This paper presents a control scheme of a neural network for a DC-DC Cuk converter. The proposed neural network control (NNC) strategy is designed to produce regulated variable DC output voltage. The mathematical model of Cuk converter and artificial neural network algorithm is derived. Cuk converte...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Bidin, Mohamed Noor Azman
التنسيق: أطروحة
اللغة:English
English
English
منشور في: 2012
الموضوعات:
الوصول للمادة أونلاين:http://eprints.uthm.edu.my/2324/1/24p%20MOHAMED%20NOOR%20AZMAN%20BIDIN.pdf
http://eprints.uthm.edu.my/2324/2/MOHAMED%20NOOR%20AZMAN%20BIDIN%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/2324/3/MOHAMED%20NOOR%20AZMAN%20BIDIN%20WATERMARK.pdf
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
الوصف
الملخص:This paper presents a control scheme of a neural network for a DC-DC Cuk converter. The proposed neural network control (NNC) strategy is designed to produce regulated variable DC output voltage. The mathematical model of Cuk converter and artificial neural network algorithm is derived. Cuk converter has some advantages compared to other type of converters. However the nonlinearity characteristic of the Cuk converter due to the switching technique is difficult to be handled by conventional controller such as proportional-integral-derivative (PID) controller. To overcome this problem, a neural network controller with online learning back propagation algorithm is developed. The NNC designed tracked the converter voltage output and improve the dynamic performance regardless load disturbances and supply variations. The proposed controller effectiveness during dynamic transient response is then analyze and verified using MATLAB-Simulink. Simulation results confirm the excellent performance of the proposed NNC, exhibits better dynamic performance compared to the classical PID controller.