Solar photovoltaic (PV) cell is one of the renewable energy sources and a main component of PV power systems. The design of PV power systems requires accurately its electrical output characteristics. The electrical characteristics of solar PV cell consist of I-V and P-V characteristics. They depend on the parameters of PV cell such as short circuit current, open circuit voltage and maximum power. Solar PV cell model can be described through an equivalent circuit including a current source, a diode, a series resistor and a shunt resistor. In this paper, the development solar PV cell model is built by using self constructing neural network (SCNN) methods. This SCNN technique is used to improve the accuracy of the electrical characteristic of solar PV cell model. SCNN solar PV cell model have three inputs and two outputs. They are respectively solar radiation, temperature, series resistance, current and power. The effectiveness of SCNN technique is verified using simulation results based on different physical and environmental conditions. Simulations are conducted by the change of the solar irradiation, temperature and series resistance. Simulation results show SCNN model can yield the I-V and P-V characteristics according to the characteristics of solar PV cell.

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The speed of a DC motor can be controlled by providing a DC input voltage that varies at the input terminals. It can be done by controlling a PWM-VSC (PWM-Voltage Source Converter). This paper analyzes an control strategy of PWM-VSC using fuzzy logic to obtain varying DC voltage and according to the DC motor speed as desired. The control strategy of PWM-VSC directly using the switch variable in dq rotating reference frame as input variables obtained from SVPWM (Space vector Pulse Width Modulation) methode. The fuzzy logic controller proposes to get a DC voltage variation stable by adjusting amplitudo of the network current. The simulation Fuzzy Logic Controller results show that the design fuzzy logic produce a good dynamic of DC voltage and DC motor speed without overshoot. On the network, Total Harmonic Distortion less than 5 % and unity power factor. Keyword: Fuzzy logic controller DC motor SVPWM Copyright © 2017 Institute of Advanced Engineering and Science.All rights reserved. Corresponding Author:Saidah, Department of Electrical Engineering, UBHARA University, Jl. Ahmad Yani 114 Surabaya, Jawa Timur, Indonesia. Email: saidah@ubhara.ac.id INTRODUCTIONDC motors are one type of electric motor that is widely used in industry for adjustable-speed drive. Speed control of a DC motor can be done in several ways, e.g, by regulating the armature voltage (DC voltage). Regulating the armature voltage can directly be used to adjust the speed of motor at the time of starting and running. Controlling the DC voltage becomes easier and more efficient to use a PWM-VSC is to set duty cycle [1].The previous researchers have concerned about DC motor speed control using PWM strategy in [2]- [4]. But use of PWM to control speed of DC Motor will produce current harmonics on the network and unstable of the DC voltage as a DC supply for DC Motor.They have developed several strategies in order to control PWM on PWM-VSC. Controllers based on PID controllers with regulating the DC voltage and current harmonics in the network. PID controllers were considered as simple and cheap of implementation [5]- [7]. One of disadvantage in using PID controller was using of off-line tuning algorithm and very difficult to use in conditions of varying DC voltage.Things that need to be observed that the PWM-VSC is a nonlinear system. The nonlinear impacts of PWM-VSC are not expected, for example, current harmonics (THD currents), the low value of power factor on the AC side , the DC voltage becomes unstable and occur ripples on the DC side so that is required proper controller that can compensate them. To solve this, the artificial intelligent control, such as Fuzzy logic control, neural network (NN, RNN) are very promising for the identification and control of nonlinear dynamical systems [7]-[10]. Fuzzy logic controller is an intelligent control that has a simple structure and having an adaptive process causes the PWM-VSC to get better performance despite a change in parameters due to changes in motor speed varies. The fuzzy controller has a wide ran...

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