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Artificial Intelligence Control for Reactive Power of Electric Drive System of Pump Station


3D Reconstruction in Canonical
Abstract


Aiming at the problem that reactive power is too high caused by the control method of electric drive system of pump station, an artificial intelligence control method of reactive power of electric drive system of pump station is proposed. The transmission signal of the electric drive system of pumping station is processed by the non-linear operation of proportion, integral and differential through the structure of fuzzy PID algorithm. The transmission signal enters the nonlinear function estimator of the neural network controller, and through the function processing of the inverse process, the nonlinear mapping ability of the neural network is utilized to finally realize the artificial intelligence control. In order to verify the control reaction rate and the optimization effect of the proposed control method, compared with the traditional control method, the simulation comparison experiment and the actual comparison experiment were respectively designed. Experimental results: The simulation comparison experiments show that the control response rate of artificial intelligence control method is better than the traditional control method; the actual contrast experiment shows that the artificial intelligence method can effectively reduce the reactive power of the transmission system and can be popularized.

KeyWords
Artificial intelligence , Process control , Biological neural networks , Reactive power , PI control



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