IJSART - Volume 3 Issue 3 –MARCH 2017 ISSN [ONLINE]: 2395-1052 Page | 240 www.ijsart.com Design of Fuzzy Logic and Neural Network Controller for Solar PV System Feeding 1ɸ Induction Motor T. Shanthi 1 , C.Selvakumar 2 , S.U.Prabha 3 1, 2, 3 Department of Electrical and Electronics Engineering 1, 2 Kumaraguru College of Technology, Coimbatore, India 3 Sri Ramakrishna Engineering College, Coimbatore, India Abstract-- The main objective of this paper is to perform a comparative analysis between Fuzzy Logic Controller (FLC) and Neural Network Controller (NNC) in a solar PV system which is extracting maximum power from the solar panel to supply an AC load of 1HP. Maximum power point tracking (MPPT) algorithm are required in all photovoltaic (PV) system. The incremental conductance algorithm is used to track maximum power from the solar panel. To step up the voltage available from the solar panel, the SEPIC dc – dc converter is used. The main advantage of the converter is having non-inverted output. The converter act as the interface between PV module and load. The entire system is modelled and simulated using MATLAB/Simulink 2015a software. Keywords-MPPT, Photovoltaic, SEPIC, Incremental conductance, Fuzzy Logic and Neural Network Controller, Induction motor. I. INTRODUCTION Among all renewable energy sources, solar power system attracts more attention because they provide excellent opportunity to generate electricity. Solar energy is a clean renewable resource with zero emission. Power demand is increasing day by day, so we have to switch to renewable energy sources which are eco-friendly and exist abundant in nature. The maximum power point tracking (MPPT) controller is used to improve the efficiency of the PV system. In which Perturb & Observe (P&O) and Incremental Conductance (INC) are frequently used [3]. The incremental conductance algorithm determines the gradient of the P-V curve. This method has overcome the disadvantage of the P&O method to track the peak power under fast varying atmospheric condition. The incremental conductance can determine that the MPPT has reached the maximum power point (MPP) and stop perturbing the operating point or else the relationship between dI/dV & -I/V can be used to determine the direction in which the MPPT operating point must be perturbed [2]. A dc to dc converter is needed and commonly available converters are the boost, buck, buck-boost, Cuk, SEPIC. In which the single-ended primary-inductance converter (SEPIC) is a DC/DC-converter that provides a positively regulated output and non-inverted output. Buck- boost converters are cheaper because they require only a single inductor and a capacitor. But the drawback is the high amount of input current ripple which create harmonics, in many applications, these harmonics require using a large capacitor or an LC filter. This often makes the buck-boost inefficient or expensive, and that can complicate the usage of buck-boost converters is the fact that they invert the output voltage. Cuk converters solve both of these problems by using an extra inductor and capacitor. However, both buck-boost and Cuk converter operation cause large amounts of electrical stress on the components, this can result in device overheating or failure. SEPIC converters solve both of these problems [7]. In this paper, SEPIC converter regulates the dc voltage obtained from the solar panel and feeds the single phase inverter. This single phase inverter runs the single phase Induction motor of 1HP capacity. The speed of the induction motor is used as a feedback signal from which voltage is derived and error and change in error are obtained and given to Fuzzy Logic / Neural Network controller. The generated pulses from the controller are combined with the pulses obtained from the Incremental Conductance Algorithm of a Solar panel and given to SEPIC converter and desired output voltage is produced. Figure 1. Block diagram of the system II.SEPIC CONVERTER A SEPIC (single-ended primary inductor converter) is one type of DC-DC converter. It consists of boost converter followed by a buck-boost converter. The main advantage of this converter is capable of providing a non-inverted output (i.e. the output has the same polarity as the input). Its output PV PANEL SEPIC CONVERTER 1ɸ INVERTER 1ɸ INDUCTION MOTOR INCREMENTAL CONDUCTANCE FUZZY LOGIC /NEURAL NETWORK CONTROLLER V I D