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Summary In photovoltaic power systems operating under variable atmospheric conditions, the success of maximum power point tracking (MPPT) methods is very important for efficiency. Therefore, many different MPPT methods have been developed in the literature. The voltage‐controlled MPPT method is one of the oldest methods that is easy to implement but operates with low efficiency in variable weather conditions. At variable radiation and temperature values, the voltage value that the system must generate in order to capture the MPP point was obtained by modeling the PV system by the system identification. Thus, using only system input and output information, a model was created without the need for system parameters. In this study, system modeling was performed using the Wavenet nonlinear function. The output of the system model gives the reference voltage required to capture the MPP point. Thus, the reference input voltage of the MPPT was made adaptive against changing weather conditions. By using the proposed voltage controlled MPPT method and the other conventional methods such as Incremental Conductance (IC), Perturb and Observe (PO), and Constant Voltage Controller(CVC) methods, various simulations (3 different scenario) were performed in Matlab/Simulink environment. The results obtained from simulations carried out for three different weather conditions were given comparatively. The performance of the proposed method was analyzed in detail at the change points of the temperature and radiation values, and at some other regions.

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The BLDC motors are widely used in industrial applications. The load characteristic and controller are important to obtain optimum performance in the speed control of the BLDC motor because some problems are occurred in speed control of nonlinear loads which is used the conventional control methods. The single link manipulator used in robotic applications is a nonlinear system for control algorithms. The load of motor is determined on considering the conversion ratio of the reducer box. In this study, a single link manipulator system consist of BLDC motor, reducer gearbox and robot arm is controlled by using NARMA-L2 controller as known modern control method in used the control of the nonlinear systems. The NARMA-L2 controller is based on neural network. The single link manipulator system is analyzed by using MATLAB/Simulink environment. The speed control of the BLDC motor is performed in conditions the constant and nonlinear load. The results show that the speed control of BLDC motor is performed the high performance in nonlinear loads.

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