Particle Swarm Optimization Algorithm (PSOA) has emerged recently as an efficient and powerful technique for the optimization of real parameters. The current study presents control scheme for electrohydraulic actuator system which utilizes particle swarm optimization (PSO) for off-line tuning of the Fuzzy Proportional-Derivative (Fuzzy PD) controller. The gains and Membership Functions (MFs) tuned by PSOA which has been implemented depending on the performance indices: ITAE (Integral Time of Absolute Error), ISE (Integral Square of Error), and IAE (Integral Absolute of Error).

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This paper presents modelling and simulation of wind turbine -electrical generation system using Matlab/Simulink software package. This system consists of wind turbine coupled with the Permanent Magnet Synchronous Generator (PMSG). The PMSG is connecting to the load through a three-phase full wave rectifier and a buck converter. Control strategy based on Fuzzy Logic Controller (FLC) is presented to regulate the outputvoltage of the wind generation system irrespective of variations in the wind speed and load. The wind turbine and FLC are implemented in Matlab/Simulink based on its mathematical model of its equivalent equations. Simulation results show that the controllers can regulate the output voltage of the system under varying wind speed and load conditions.

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Since the calculation of the active and reactive power is considered an essential topic nowadays, the novel method is focused on these calculations with omitting the PLL that will decrease the complexity of the control process. To get the maximum photovoltaic (PV) output, the maximum power point tracker (MPPT) algorithm has been integrated with the proposed method. MATLAB/SIMULINK has been used to show the performance of the proposed method. The simulation outcomes verify the advantage of the novel method by improving the total harmonic distortion (THD) and the system stability regardless of load changes.