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整数PI,分数PI和分数PI数据训练的ANFIS速度控制器用于诱导电机的间接场面导向控制
1School of Electrical and Computer Engineering, Debre Markos Institute of Technology, Debre Markos University, Debre Markos, Ethiopia.
Heliyon
|September 27, 2024
概括
一个新的自适应神经模糊推理系统 (ANFIS) 控制器在感应电机驱动器中表现出优异的性能,与分数比例积分 (FPI) 和整数比例积分 (IPI) 控制器相比. 安菲斯控制器显著减少了超速,并改善了变速应用的速度跟踪.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
背景情况:
- 具有矢量控制的感应电机驱动因其动态性能而对变速应用至关重要.
- 间接场定向控制 (IFOC) 是一种通过脱电流组件来提高感应电机驱动性能的流行的方法.
- 对比不同的控制策略对于优化感应电机驱动系统至关重要.
研究的目的:
- 为了评估一种新的输入输出数据训练自适应神经模糊推理系统 (ANFIS) 控制器的有效性.
- 在感应电机驱动器中比较ANFIS,分数比例积分 (FPI) 和整数比例积分 (IPI) 控制器的性能.
- 在不同的负载条件和电机参数变化下分析控制器性能.
主要方法:
- 使用FPI,IPI和ANFIS控制器设计和对感应电机IFOC进行比较分析.
- 基因优化FPI和IPI控制器参数使用正方形的错误作为一个健身函数.
- 使用混合方法与FPI控制器输入输出数据训练ANFIS控制器.
主要成果:
- ANFIS控制器实现了0.495%的峰值超越,明显低于FPI (12.062%) 和IPI (14.699%).
- 由ANFIS控制的感应电机驱动器在0.14秒内达到设置速度.
- 由于其额外的集成顺序参数,FPI控制器的性能优于IPI.
结论:
- 在感应电机驱动器中,ANFIS控制器可大幅减少超速和改进速度跟踪.
- 在变速应用中,ANFIS控制器表现出高性能,优于传统的FPI和IPI控制器.
- 这项研究验证了数据训练ANFIS对感应电机驱动器高级控制的有效性.
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