首页> 外文会议>2011 3rd International Workshop on Intelligent Systems and Applications >Modeling and Simulating for Soft Starting of Asynchronous Motors Based on Fuzzy Adaptive Control
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Modeling and Simulating for Soft Starting of Asynchronous Motors Based on Fuzzy Adaptive Control

机译:基于模糊自适应控制的异步电动机软启动建模与仿真。

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Considering the large starting current of the asynchronous motors, this paper presents a soft starting system of the asynchronous motors based on fuzzy adaptive control whose control rule and control factor can be adjusted by itself. According to the starting characteristic of asynchronous motors, taking current deviation and deviation change rate as input and the change of trigger angle of thyristors as output, the fuzzy adaptive control strategy is put forward. The system model for the soft starting of asynchronous motors is established and the system is simulated based on MATLAB/SIMULINK. Compared with the traditional fuzzy control method, starting current and torque oscillations can be eliminated effectively, an ideal constant current soft starting control effect for asynchronous motors is achieved, so fuzzy adaptive control method is superior. The simulation results show the validity and stronger robustness.
机译:考虑到异步电动机的大启动电流,本文提出了一种基于模糊自适应控制的异步电动机软启动系统,其控制规则和控制因子可以自行调节。针对异步电动机的启动特性,以电流偏差和偏差变化率作为输入,晶闸管触发角的变化作为输出,提出了模糊自适应控制策略。建立了异步电动机软启动系统模型,并基于MATLAB / SIMULINK对该系统进行了仿真。与传统的模糊控制方法相比,可以有效地消除起动电流和转矩振荡,达到了理想的异步电动机恒流软起动控制效果,因此模糊自适应控制方法具有优越性。仿真结果表明了该算法的有效性和较强的鲁棒性。

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