抗干扰动态自寻优控制

将动态极值搜索法用于控制系统的寻优控制。该控制方法采用阶跃信号作为探索信号叠加在对象的输入信号上 ,根据输出数据辨识输出稳态值的变化 ,从而确定寻优方向 ,逐步向系统的最优点逼近。寻优控制器的寻优算法对噪声具有抑制作用 ,并对系统参数变化有一定的适应能力。该算法所需信息量不大 ,具有较好的快速性。且算法具有搜索精度高 ,抗干扰能力强等特点 ,具有一定的实用价值

DISTURB-RESISTING DYNAMIC SELF-OPTIMIZING CONTROL

The self optimizing algorithm can be used for self optmizing control in the control system. It uses step signal as the test signal and adds it on input signal of object. It identifies the output steady state value according to the output data, so as to decide optimizing direction and go to the optimum step by step. The self optimizing algorithm has considered the effect of noise. To some extent, it can curb the noise and be of capability of adapting variation in system parameters. The information that the algorithm need is not too much. This algorithm can find the optimum rapidly and resist disturbing effectively. It has quite large practical value.