首页> 外文会议>International Conference on Machine Learning and Cybernetics >DESIGN AND SIMULATION OF CASCADE FUZZY SELF - ADAPTIVE PID SPEED CONTROL OF A THYRISTOR-DRIVEN DC MOTOR
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DESIGN AND SIMULATION OF CASCADE FUZZY SELF - ADAPTIVE PID SPEED CONTROL OF A THYRISTOR-DRIVEN DC MOTOR

机译:晶闸管驱动直流电动机级联模糊自适应PID速度控制的设计与仿真

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This paper describes a three-phase full control rectification circuit controller which is widely used in the system of speed regulation of DC motor. Conventional PID controller with double close-loops has been used in speed control of separately excited DC Motor at present. But under conditions of actual operation we find that it isn't suitable for the high performance cases, because of the low robustness of conventional PID controller. In order to overcome these problems, we propose the idea of fuzzy self - adaptive PID control method under fuzzy control theory and design a DSP-based cascaded control system to regulate speed of DC motor. The MATLAB 7.0 is used as simulation tool to establish the simulation model and the simulation analysis combined with fuzzy toolbox. It obtains the best parameter through simulation combined with experience and from the simulation result we can see the practicality and validity of this control method and solve the problems mentioned above.
机译:本文介绍了一种三相全控制整流电路控制器,广泛应用于DC电机的速度调节系统。具有双闭环的传统PID控制器目前已被用于单独激发直流电动机的速度控制。但在实际操作的条件下,我们发现它不适合高性能情况,因为传统PID控制器的稳健性低。为了克服这些问题,我们提出了模糊控制理论下的模糊自适应PID控制方法的思想,并设计了一种基于DSP的级联控制系统来调节直流电动机的速度。 MATLAB 7.0用作模拟工具,以建立仿真模型和模拟分析与模糊工具箱相结合。它通过模拟获得最佳参数与经验和仿真结果相结合,我们可以看到这种控制方法的实用性和有效性并解决上述问题。

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