基于云台的变域论模糊PID算法研究

为了使云台能够快速的响应环境变化从而达到动态平衡目的,提出变域论模糊PID控制算法实现调平过程中动态特性控制设计。该系统以ARM920T为控制单元,采用模糊PID算法对云台进行控制。利用MATLAB对模糊PID算法进行了仿真分析,最后对变论域、模糊及传统算法的效果进行比较：在保证动态稳定性的前提下,模糊PID算法比常规PID算法能够有效的提高响应速度。

Research on Variable Field Theory Fuzzy PID Algorithms Based on Yuntai

In order to make the platform respond quickly to environmental changes so as to achieve dynamic balance, a variable domain theory fuzzy PID control algorithm is proposed to realize dynamic characteristic control design in leveling process. The system takes ARM920T as the control unit, and uses the fuzzy PID algorithm to control the platform. The simulation analysis of the fuzzy PID algorithm is carried out by using MATLAB. Finally, the effects of variable universe, fuzzy and traditional algorithms are compared. On the premise of guaranteeing dynamic stability, the fuzzy PID algorithm can effectively improve the response speed compared with the conventional PID algorithm.