Flue temperature fuzzy control for coke oven heating process based on multi-operative modes analysis

An optimization control method was presented for the flue temperature in multi-operative modes in the coordinating layer and the optimizing control layer for coke oven heating process.At the coordinating layer,the real-time operative mode of the heating process which was identified by the raw gas temperature,was acquired through the information fusion method of second decision.Proper optimization control model was chosen according to different operative model.At the optimizing layer,a multi-objective optimization method for optimizing parameters based on adaptive genetic algorithms was proposed to deal with the difficulties in tuning parameters of the fuzzy control model.By using elitist strategy and roulette wheel algorithm in selection adaptive crossover and mutation probabilities,the global searching ability and the convergence speed of the genetic algorithms were significantly improved.Through properly weighting the terms including control errors,energy consumption and tuning time to construct the fitness function,the fuzzy control model can be optimized to satisfaction.Obvious effect of this method was obtained in the application and a new approach for the optimization control of coke oven was provided.