基于Hammerstein模型非线性系统的乙醇汽油优化控制算法

摘要

研究一类可用Hammerstein模型描述的MISO非线性系统的优化控制方法，提出一种神经网络的Hammerstein模型，以描述MISO非线性对象，并给出具有内模结构的优化设计方法，从而实现了在稳态优化与动态优化双重指标下的设定值优化控制。针对乙醇汽油管道调合系统进行的仿真实验，验证了该方法的有效性。%A Hammerstein modeI based on feed forward neuraI networks is proposed to describe nonIinear MISO systems,and the method of design of the cont roI er is presented.A cont roI er with both static and dynamic optimization based on this mod-eI is designed.The emuIation resuIts of a gasoIine 2 bIending process indicates the effectiveness of this cont roI er.