【摘要】 锅炉燃烧优化控制技术是保证其在最佳情况下运行,提高其经济效益的关键技术。本文基于模型预测控制算法原理,提出了基于人工神经网络的预测控制算法原理,并给出了MPC的工程实现过程,并用仿真加以验证。更多还原

【Abstract】 Concerning the predictive control of an boiler burning control reactor,this paper presents and accomplishes the problems as follows:the ANN model is presented,whose main structure is constructed by off-line trained RBFN and expresses the object’s wide-change law,whose secondary structure is constructed by on-line-trained BPN,which expresses the main structure’s error and can eliminates the model error that was the result of the object’s slow-change.The model is founded by linear addition of the main structure and the secondary one.Simulation results show that the maximum error between the predictive data and the measuring ones is no bigger than 2 percent and that the method is efficient.更多还原