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Simulation Research of Genetic Neural Network based PID Control for Coke Oven Heating

With the background of coke oven heating control system, a genetic algorithm based CMAC (cerebellar model articulation controller) and PID compound control method is presented to control the temperature of coke oven. Genetic algorithm is used to optimize the initial parameter of PID controller, and CMAC neural network is combined with the optimized PID controller. With the simplified model of coke oven, simulations have been done in MATLAB for the new control method. The simulation results prove that it is feasible to apply this method in the process of coke oven temperature control