基于模糊专家系统的智能行车控制

模糊自适应控制利用不同特性参数下的控制规则进行推理控制，专家系统则利用经验及策略迅速校正控制器的输入，减小控制过程中的迟滞，达到平稳快速的调节。提出了一种模糊控制与专家控制相结合的比例控制器。该控制器能够实现精确的点到点运输负载，并且减小过程中的振荡。仿真结果表明，模糊专家控制器在行车控制中比串联反馈控制器各项控制性能好。

Intelligent Control of Gantry Crane Based on Fuzzy Expert System

Fuzzy adaptive control exploits the rules of different peculiar parameters to infer and control. Expert system adjusts quickly the input of controller and reduces procrastination of control process by exploiting control experience and strategy, then achieves stable and rapid adjustment. This paper gives a proportion controller combined by fuzzy control and expert control. This controller can transfer the load with precision from point to point and reduce the oscillation of the process. Extensive simulations have shown that fuzzy expert controller has better control performance than classical cascade feedback controller in the gantry crane control.