Researches on the mixture compensating method based on dynamic neural network and genetic algorithm

Because of complexity of automatic mixture system, conventional compensating control method cannot meet the required question precisely. A kind of mixture control system, based on dynamic neural network, is designed through analyzing the influence precision factors of mixture. Simulation is studied by collecting the mixture historical data from field engineering. And the simulation results illustrate that the method can reduce the mixture error effectively.