-In this paper, an intelligent controller of AC Motor drive designed using proportional-integralderivative (PID) optimization for the optimal tuning of PID controller parameters. A PID controller control loop feedback mechanism controller widely used in Industrial control system. A optimization algorithm is employed in order to obtain the controller parameters assuring deadbeat response at each selected load. The AC-Motor PID-controller is modeled in SLC 500. The response of the developed controllers is compared to that of the controllers whose parameters are tuned using the Ziegler-Nichols method. The developed methodology is more proficient in improving the controller loop response stability, the steady state error, the rising time and overshoot and hence the disturbances do not affect the performances of AC-motor.
One downside to Green Energy is that it cannot be estimated. Therefore, determining the optimum planning and perfect working strategies for the resources to be included in the hybrid system is very important. HOMER software has been used in this research paper to solve the case study of the hybrid renewable energy system. Due to its extensive analytical capabilities and advanced prediction capabilities based on the sensitivity of variables, HOMER is one of the most used software for optimal planning purposes. A case study for the sizing of a renewable energy-based hybrid system is solved in this article, using the Hybrid Optimization of Multiple Energy Resources (HOMER) software. Photovoltaic panels (PV panels), wind turbines (WT), batteries, converters, electric charge and grid are used in case study. The results of the simulation are presented in graphical form and tabulated for better system visualization. The design of a system to supply 6.8 KWh/d whereas the peak is 1.04 KW electric loads has been performed using HOMER software. In order to allow the user to choose the most suitable option, a comparative analysis has made, showing the pros and cons of cases. Optimum construction conditions help to lower operating costs.
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