In this article, the parameters of the proportional-integral (PI) controller of the wind turbine (WT) emulator, i.e., proportional and integral gain of the PI controller, are optimized using a black widow optimization algorithm (BWOA). The proposed system is developed and analyzed using MATLAB/Simulink environment. The performance of the BWOA optimized PI controller is compared with a BAT algorithm, particle swarm optimization, and genetic algorithm optimized PI controller to measure the effectiveness of the proposed control system. The developed system is tested for different operating conditions such as static wind speed settings, static pitch angle conditions, step-change in wind speed settings, and step-change in pitch angle settings. Finally, the proposed system is realized in real-time by hardware experimentations. The results of the experimentation are compared with simulation results as well. The presented simulation and hardware result shows good agreement, which confirms the effectiveness of the proposed method. Thereby, the proposed optimization-based PI-controlled wind emulator can be recommended for emulating the characteristics of any type of WT with a low-cost system.
The main aims of this projects to the replacement of old communication that uses wired links with new communication that is wireless communication.The main reason to move to wireless communication is to improve the mobility, reduce the deployment cost, reduce cable damage and to improve the scalability.The current industrial revolution is the 4.0 industrial revolution which combines different technologies such as Internet of Things (IOT), robotics, virtual reality and artificial intelligence. The current industrial revolution is the 4.0 industrial revolution which combines different technologies such as Internet of Things (IOT), robotics, virtual reality and artificial intelligence.The current industrial revolution is the 4.0 industrial revolution which combines different technologies such as Internet of Things (IOT), robotics, virtual reality and artificial intelligence.The second aim of this project is to connect devices to IOT so as to improve theaccessibility of the industry from anywhere in the world. These services are known as Best Effort services.
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