A Laguerre Function Model Adaptive Predictive Control Strategy Based on a Chaotic Neural Network for Heavy Oil Distillation Column

Performance index of the adaptive predictive control strategy based on Laguerre model is hard to converge to global optima.And chaotic neural network(CNN)can effectively avoid local optima during the optimization process.In this paper,the adaptive predictive control strategy based on Laguerre model and the features of CNN are briefly introduced.And a novel strategy to apply CNN to optimize the performance index is emphatically brought forward.Simulation results on Shell model of heavy oil distillation column show that the control quality of this hybrid intelligent strategy is markedly improved compared with original control strategy.