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一般模糊控制器在对象参数变化不大时，具有一定的鲁棒性，但在对象参数变化较大时，模糊控制器的鲁棒性体现较差。本文针对这一问题，对模糊控制器的结构进行了改进，在一般模糊控制器的基础上，引入了智能积分环节。智能积分作用模仿了有经验操作者的控制策略，克服了常规积分作用不加选择地记忆误差变化全部信息的缺点，有效地抑制了系统误差的增加。仿真研究的结果表明，带智能积分控制的模糊控制器鲁棒性更强，稳态精度更高。
The general fuzzy controller has a certain degree of robustness when the parameters of the object change little, but the robustness of the fuzzy controller is poor when the parameters of the object vary greatly. In view of this problem, this paper improves the structure of the fuzzy controller. Based on the general fuzzy controller, it introduces the intelligent integral part. The intelligent integral function imitates the control strategy of the experienced operator and overcomes the shortcomings that the conventional integral function memorizes all the information of the error change indiscriminately and effectively restrain the increase of the system error. Simulation results show that the fuzzy controller with intelligent integral control is more robust and steady-state accuracy is higher.