不确定性复杂系统的智能融合控制策略

Intelligence Based Fusion Control Strategy for Complex System with Uncertainty

针对不确定性复杂系统导致的难以精确建立数学模型与实施有效控制的问题,提出了一种基于智能融合的控制策略。分析了控制中存在的问题和复杂系统表现出的控制论特性,对比指出了单一控制策略的不足,讨论了智能融合控制策略的优势,构造了控制模型,给出了基于智能融合的工程控制算法。最后以某复杂工业控制对象为例进行了仿真实验。结果表明:系统的动、静态响应显示控制精度高,鲁棒性好。

Aimed at the puzzle of being difficult to build accurate mathematical model and to implement effective control resulted from complex system with uncertainty,the paper proposed a sort of intelligence based fusion control strategy.In the paper,it analyzed existent puzzle in control process and cybernetics characteristic represented by complex system,and contrasted and pointed out the shortage of unitary control strategy,and also discussed the advantage of intelligence based fusion control strategy,constructed the control model,and then gave the engineering control algorithm based on intelligence based fusion.Finally it took a certain complex industrial control process as an example to make simulation experiment,the static and dynamic response of system demonstrated that it is high in control precision,and better in robustness.The experiment simulation results show that it is feasible and effective for the control strategy.