首页|基于自适应模糊PID的气力输送风机调速系统仿真研究

基于自适应模糊PID的气力输送风机调速系统仿真研究

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在分析对于PLC的变频调速过程为基础,为了优化异步电机起动存在超调、负载波动、动态响应慢等存在的问题,论文提出了一种自适应模糊PID的控制方法应用于异步电机变频调速,采用主副控制器模型改变原有单一传递函数模型,为电机原有调速系统中添加自适应模糊PID算法对参数进行在线修改,解决了因外部条件改变的情况下不能快速恢复稳定的问题。应用Simulink构建系统仿真模型,获得反应系统动态特性曲线,将模糊PID和传统PID进行比较探索出一种电机的优化控制方法。实验数据表明:模糊自适应PID控制达到了预先的控制效果,使得该异步电机的动态性能和稳态性能都得到了改善,具有较强的鲁棒性。
Research on Simulation of Speed Control System Based on Fuzzy PID Pneumatic Conveying Blower
Based on the analysis of the PLC's variable frequency speed regulation process,in order to optimize the problems of overshoot,load fluctuation,and slow dynamic response in the starting of asynchronous motors,this paper proposes an adaptive fuzzy PID control method to apply to the variable frequency regulation of asynchronous motors.The main and auxiliary controller models are used to change the original single transfer function model,and the adaptive fuzzy PID algorithm is added to the original speed control system of the motor to modify the parameters online,which solves the problem that cannot be quickly restored to stabil-ity due to changes in external conditions.Simulink is used to construct a system simulation model,obtain the dynamic characteristic curve of the reaction system,and compare the fuzzy PID with the traditional PID to explore an optimized control method for the mo-tor.The experimental data shows that the fuzzy adaptive PID control achieves the pre-control effect,which improves the dynamic performance and steady-state performance of the asynchronous motor,and it has strong robustness.

asynchronous motorPIDadaptive fuzzy PID

张宝峰、杨坤鹏、朱均超、李建文、康军、张金伟

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天津理工大学电气电子工程学院 天津 300384

天津市复杂系统控制理论及应用重点实验室 天津 300384

天津津生环境科技有限公司 天津 300345

异步电机 PID 自适应模糊PID

天津市互联网跨界融合创新科技重大专项

18ZXRHSF00240

2024

计算机与数字工程
中国船舶重工集团公司第七0九研究所

计算机与数字工程

CSTPCD
影响因子:0.355
ISSN:1672-9722
年,卷(期):2024.52(2)
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