基于HSIC的适应性融合控制策略

On Adaptability Fusion Control Strategy Based on Human Simulated Intelligence

针对不确定性复杂关联系统难以采用PID控制,探讨了一种基于仿人智能的适应性融合控制策略.分析了系统的控制论特性,讨论了PID控制面临的挑战,基于仿人智能控制,研究了对复杂关联系统的适应性融合控制策略,构造了相应的控制算法.文中以某不确定性复杂关联对象控制为例,分别采用PID与适应性融合控制策略进行了仿真对比研究,实验的系统响应曲线验证了该策略的良好动静态控制品质与适应性.研究结果表明,适应性融合控制策略与控制算法是可行与合理的.

Aimed at the puzzle of being difficult to adopt PID controller for complex correlation system with uncertainty,the paper deals with the exploration of a sort of adaptability control strategy based on human simulated intelligent controller (HSIC).In the paper,the characteristic in cybernetics of system roughly has been analyzed,the challenges faced with PID control discussed and researched on adaptability control strategy,and the corresponding control algorithm constructed.In the paper,a certain complex correlation obj ect has been taken as an example,and through simulation comparison research has been carried respec-tively by means of control strategy of PID and adaptability fusion control strategy,and the comparison curve of system experiment response demonstrated that the strategy owned better dynamic and static con-trol quality as well as adaptability.The research results show that it is feasible and reasonable to the pro-posed fusion control strategy and algorithm.