高精度实验验证的自适应性神经模糊推理系统控制器用于直流电机驱动系统.
Muhammad Akram Bhayo1, Javed Ahmed Laghari1, Mohammad Aljaidi2
1Department of Electrical Engineering, Quaid-e-Awam University of Engineering, Science & Technology, Nawabshah, 67450, Sindh, Pakistan.
Scientific reports
|April 25, 2025
概括
适应性神经模糊推理系统 (ANFIS) 控制器消除了超标,并减少了直流电机驱动器的沉降时间. 这种先进的控制方法性能优于传统的比例整合 (PI) 控制器,实现了卓越的性能.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 人工智能的人工智能
背景情况:
- 直流电机驱动器通常使用比例整合 (PI) 控制器来调节转速和扭矩.
- 调整PI控制器带来了挑战,往往导致显著的超标和长时间的结算时间.
- 在直流电机控制中,在不影响速度的情况下消除超速是持续存在的问题.
研究的目的:
- 介绍适应性神经模糊推理系统 (ANFIS) 控制器用于高精度直流电机驱动控制的实验实施.
- 为了消除超标,同时改善直流电机转速和扭矩控制中的沉降时间.
- 为了比较ANFIS控制器与传统调PI控制器的性能.
主要方法:
- 使用了2象限直流电机驱动实验设置与dSPACE DS1104研发控制器板.
- 采用波德图形方法,以最佳调整比例整合 (PI) 控制器收益 (Kp和Ki).
- 通过模拟和实验测试设计,实施和验证了自适应神经模糊推理系统 (ANFIS) 控制器.
主要成果:
- 安菲斯控制器成功消除了超标,在实验结果中达到0%.
- 安菲斯控制器显著改善了定位时间,将其缩短到0.18秒.
- 实验和模拟结果表明,ANFIS控制器的性能优于调的PI控制器.
结论:
- 与PI控制器相比,自适应神经模糊推理系统 (ANFIS) 控制器为直流电机驱动控制提供了更好的解决方案.
- 基于ANFIS的控制有效地解决了PI控制器的局限性,即超标和结算时间.
- 拟议的ANFIS控制器为直流电机驱动提供了高精度的控制,通过严格的模拟和实验验证.
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