EFFICIENT FUZZY LOGIC SPEED CONTROL FOR VARIOUS TYPES OF DC MOTORS SUPPLIED BY PHOTOVOLTAIC SYSTEM UNDER MAXIMUM POWER POIENT TRACKING

Yousef, Ali; Oshaba, Ahmed Said

doi:10.21608/jesaun.2012.114522

EFFICIENT FUZZY LOGIC SPEED CONTROL FOR VARIOUS TYPES OF DC MOTORS SUPPLIED BY PHOTOVOLTAIC SYSTEM UNDER MAXIMUM POWER POIENT TRACKING

Document Type : Research Paper

Authors

Ali Yousef ¹
Ahmed Said Oshaba ²

¹ Electrical Engineering Department, Faculty of Engineering, Assiut University.

² Electronics Research Institute, Power Electronics and Energy Conversions NRC Blg., El-Tahrir St., Dokki, 12311-Giza, Egypt

10.21608/jesaun.2012.114522

Abstract

This paper presents an efficient fuzzy logic speed controller (EFLSC) for various types of DC motors (permanent magnet DC motor and series DC motor). These DC motors are fed by the maximum power point tracking (MPPT) for photovoltaic (PV) arrays by using DC/DC converter between the PV array and DC motors. The speed controller explores the idea of the efficient fuzzy logic controller in a classical form. This controller combines the advantages of the classical controller and the intelligent properties of the fuzzy logic controller. The controller constants can be easily calculated based on the mechanical equation of the DC motors and a defined speed performance. The mechanical equations for the permanent magnet DC motor and series DC motor are represented by a first and second order differential equations respectively. This is used to change the duty cycle of the converter and thereby, the voltage fed to the DC motor to regulate its speed. The performance of these motors for load variation and speed change has been reported. The proposed controller shows that the EFLSC based DC-DC drive can have better control performance. In addition, this paper presents a proportional, integral and derivative (PID) controller method for maximum power point tracking of photovoltaic systems under different atmospheric conditions and variable output loads.

Keywords