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基于参数自学习模糊控制的进给驱动系统研究
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作者 张剑 许镇琳 《制造业自动化》 2004年第7期33-35,39,共4页
为进一步改善数控机床主轴进给驱动系统的动静态性能,本文提出了采用模糊控制作为速度外环控制器,采用矢量控制作为电流内环控制器的结构。设计了一种基于单神经元的参数自学习模糊控制器,它在控制规则数与二维控制器相当的基础上,可实... 为进一步改善数控机床主轴进给驱动系统的动静态性能,本文提出了采用模糊控制作为速度外环控制器,采用矢量控制作为电流内环控制器的结构。设计了一种基于单神经元的参数自学习模糊控制器,它在控制规则数与二维控制器相当的基础上,可实现三维模糊控制的效果。引入的单神经元采用改进的BP算法来实现比例因子的在线自学习。控制器具有结构及算法简单、易于解析实现的特点。为验证其有效性,本文通过仿真试验,将其与普通模糊控制算法以及经典的PI控制算法进行比较,结果表明,这种模糊控制器具有较好的动、静态性能。 展开更多
关键词 数控机床 永磁同步电动机 参数自学习模糊控制器 单神经元
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一种参数自调整复合FUZZY-PID控制器的实现方案 被引量:1
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作者 苏小林 《电力学报》 1996年第1期25-30,共6页
本文提出一种复合FUZZY-PID控制器的实现方案,它集FUZZY控制器动态性能好和PID控制器稳态性能好为一体。为更有效地改善复合FUZZY-PID控制器控制品质,文中还给出了一种在线自动调整参数的方案。
关键词 PID控制 参数自调整 控制器 自动控制
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基于模糊控制的高超声速飞行器二阶滑模姿态控制 被引量:5
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作者 管萍 和志伟 戈新生 《控制与决策》 EI CSCD 北大核心 2019年第9期1901-1908,共8页
考虑高超声速飞行器飞行过程中气动参数变动导致的不确定,将模糊控制与二阶滑模控制相结合,形成自适应模糊二阶滑模控制器,用于控制高超声速飞行器姿态的飞行系统中.依据奇异摄动理论,设计快速和慢速双闭环系统控制角速率和姿态角.设计... 考虑高超声速飞行器飞行过程中气动参数变动导致的不确定,将模糊控制与二阶滑模控制相结合,形成自适应模糊二阶滑模控制器,用于控制高超声速飞行器姿态的飞行系统中.依据奇异摄动理论,设计快速和慢速双闭环系统控制角速率和姿态角.设计二阶滑模控制器用于有效地衰减抖振,同时对姿态角指令实现准确和快速跟踪.采用自适应模糊逻辑逼近高超声速飞行器动力学和运动学模型中的不确定部分,以对控制器进行有效补偿,基于Lyapunov稳定性理论,推导模糊规则参数的自适应律,确保整个闭环控制系统的稳定.仿真结果表明,所提出的高超声速飞行器的自适应模糊滑模控制系统能够有效抑制气动参数摄动的影响,对姿态角指令有较好的跟踪性能. 展开更多
关键词 高超声速飞行器 气动参数 姿态控制 二阶滑模控制 模糊控制 自适应
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Research on Modeling and Fuzzy Control of Magneto-Rheological Intelligent Buffer System for Impact Load 被引量:3
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作者 傅莉 林丽平 徐心和 《Journal of Shanghai Jiaotong university(Science)》 EI 2012年第5期567-572,共6页
So far the magneto-rheological(MR) effect mechanism of MR damper has not been known completely, especially in the impact load,and the problem becomes more complicated and difficult for analyzing.A set of characteristi... So far the magneto-rheological(MR) effect mechanism of MR damper has not been known completely, especially in the impact load,and the problem becomes more complicated and difficult for analyzing.A set of characteristic tests and parameters' identification are made to the MR damper by the experimental platform. The dynamical model of the damper is constructed based on the Bingham plastic model,and the buffer control strategy of aircraft undercarriage based on MR technology is established.Finally,the fuzzy control algorithm is applied to the process of automatic control for landing buffer of aircraft undercarriage.The simulation results show that the proposed MR damper pulley buffer can effectively recognize the impact energy.The research has a better application in the engineering. 展开更多
关键词 magneto-rheological fluid(MRF) impact load characteristic test parameter identification fuzzy control
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Modeling and Control of the Pulley Buffer System of Arresting Cable for Shipboard Aircraft Based on Magneto-Rheological Fluid 被引量:2
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作者 傅莉 魏颖 +1 位作者 周彦凯 程涛 《Journal of Shanghai Jiaotong university(Science)》 EI 2012年第5期573-578,共6页
Taking the MK7-3 of USA hydraulic buffer arresting device as the research subject,the dynamical model for the shipboard aircraft arresting system is established,and the magneto-rheological(MR) damper is applied to pul... Taking the MK7-3 of USA hydraulic buffer arresting device as the research subject,the dynamical model for the shipboard aircraft arresting system is established,and the magneto-rheological(MR) damper is applied to pulley shock absorbers for shipboard aircraft block system.Due to the effect of the MR damper has not been known completely and so far MR damper model has not been defined,we use a set of characteristic test of the MR damper,through the process of parameters identification,to establish the dynamical model for the MR damper based on the Bingham plastic model.Then,the fuzzy control rules are designed,the buffer control for the pulley buffer of shipboard aircrafts is completed in touchdown moment based on MR technology. Compared with blocking device of hydraulic pulley buffer in the same condition,the simulations results show that the proposed MR pulley buffer can effectively recognize the impact energy for shipboard block system and reduce the pull peak of arresting cable.It improves significantly safety during landing of the air vehicles and lowers the risk of accidents. 展开更多
关键词 magneto-rheological fluid(MRF) shipboard aircraft pulley buffer parameter identification fuzzy control
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