由于仿人智能控制原型算法存在局限性,难以准确反映人在控制过程中对于系统响应特性的预见性和采用的控制决策。在此基础上,文章提出采用一种改进仿人智能控制算法,即根据误差的大小选择改变增益系数,提高了控制器预测系统响应的动态变化趋势,解决了系统在更高控制层上高精度与快速性不能统一兼顾的问题。并搭建Matlab/Simulink仿真系统及试验平台,验证了算法优越性。 Due to the limitation of prototype control algorithm, it is difficult to accurately reflect the predictability of the system response characteristics and the control decisions adopted in the control process. On this basis, the article proposes an improved humanoid intelligent control algorithm, that is, changing the gain coefficient according to the size of the error, and improving the dynamic change tendency of the controller predicting the system response, and solving the problem of high precision And rapidity can not be taken into account the issue of unity. And build Matlab / Simulink simulation system and test platform to verify the superiority of the algorithm.