基于大脑情感学习的直流电机调速智能控制器设计

Jaewook Chung, Hyunseok Kim
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引用次数: 0

摘要

本文提出了一种改进的基于大脑情绪学习的智能控制器(BELBIC),它根据反馈误差的大小来调节直流电动机速度控制的学习率。为了验证该方法的有效性,将采用该方法的直流电机调速仿真结果与PID和BELBIC的仿真结果进行了比较。仿真结果表明了该控制器对直流电动机速度控制的有效性和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Brain Emotional Learning Based Intelligent Controller Design for DC Motor Speed Control
This paper proposes a modified BELBIC (Brain Emotional Learning Based Intelligent Controller) which modulates learning rates proportional to the magnitude of feedback error for DC motor speed control. To show the effectiveness of it, simulation results of DC motor speed control using the proposed method are compared to simulation results by PID and BELBIC. The effectiveness and robustness of the proposed controller for DC motor speed control is shown through the simulation.
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