基于anfisd控制器的直流电动机智能调速控制

Tanjim Tarannum
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引用次数: 3

摘要

本文的主要目的是提出一种基于自适应神经模糊推理系统(ANFIS)微分控制器的分离励磁直流电动机速度控制方法。通过减小欠调、超调、峰峰纹波和稳态误差,实现了对直流电机转速的有效控制。通过对两种方法的比较,验证了微分控制器的性能改进。从评估中可以清楚地看出,所提出的ANFIS D控制器在超调、欠调、峰峰纹波和s-s误差减小方面具有更好的性能,从而改进了分励直流电机的调速技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Speed Control of DC Motor using ANFIS D Controller
The primary objective of this paper is to present the speed controlling method of a separately excited DC motor with Adaptive Neuro Fuzzy Inference System (ANFIS) based derivative controller. Efficient control of speed of DC motor has been achieved using by reducing undershoot, overshoot, peak-peak ripple and s-s (Steady-State) error by the proposed approach. A derivative controller has also been used to validate the performance improvement by comparison between the two methods. From the assessment, it clearly shows that, the suggested ANFIS D controller provides better performance including overshoot, undershoot, peak-peak ripple and s-s error reduction and hence improving the speed regulation technique of separately excited DC motor.
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