基于大脑情绪学习的不确定系统智能控制器设计

Reshma Ravi, Mija S.J.
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引用次数: 8

摘要

针对具有参数不确定性的弹簧质量阻尼器系统,研究了基于大脑情绪学习的仿生智能控制器(BELBIC)及其设计。质量阻尼弹簧系统是一种常用的控制实验装置。本文给出了弹簧-质量-阻尼系统中可能存在的结构(参数)不确定性。基于脑-情绪-学习算法的无模型控制器适应了哺乳动物大脑边缘系统的计算模型。本文尝试设计不确定系统(弹簧-质量-阻尼器)的控制器。将所设计的控制器与PID控制器的性能进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Brain Emotional Learning Based Intelligent Controller (BELBIC) for uncertain systems
This paper addressess, a study on the bio inspired intelligent controller namely Brain Emotional Learning Based Intelligent Controller (BELBIC) and its design for spring mass damper system which has parameter uncertainty. The mass-damper-spring system is a common control experimental device frequently used. This paper gives the possible structured (parametric) uncertainties in the spring-mass-damper system. The model free controller based on the brain-emotional-learning algorithm adapts the computational model of limbic system in the mammalian brain. Here an attempt is made to design the controller for a uncertain system (spring-mass-damper). The performance of the developed controller is compared with that of a PID controller.
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