MIMO离散时间非线性系统MFAPC

Model-Free Adaptive Predictive Control for the MIMO Discrete Time Nonlinear System

针对一类未知的具有强耦合特性的MIMO离散时间非线性系统,给出了基于紧格式动态线性化方法,并结合预测控制在线滚动优化、反馈校正的优点,设计了MIMO离散时间非线性系统的无模型自适应预测控制器(MIMO-MFAPC),并将该控制器运用到600MW单元机组协调控制系统的仿真中,结果表明该控制方法动态解耦性能,抗扰性能较好,调试方便,具有较好的实际应用推广价值。

For a class of unknown MIMO discrete time nonlinear systems which have strong coupling characteristics,we proposed a method based on compact form dynamic linearization,Combined with the advantages of online rolling optimization and feedback correction,we designed a model-free adaptive predictive controler for the MIMO discrete time nonlinear system（ MIMO-MFAPC）,and the dynamic performance,disturbance rejection,load adaptability and robustness of this nonlinear coordinated controller were proved through simulation tests on a 600 MW boiler-turbine units.