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Achievement of chaotic synchronization trajectories of master-slave manipulators with feedback control strategy 被引量:3
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作者 Qingkai Han Lina Hao Hao Zhang Bangchun Wen 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2010年第3期433-439,共7页
This paper addresses a master-slave synchro- nization strategy for complex dynamic systems based on feedback control. This strategy is applied to 3-DOF pla- nar manipulators in order to obtain synchronization in such ... This paper addresses a master-slave synchro- nization strategy for complex dynamic systems based on feedback control. This strategy is applied to 3-DOF pla- nar manipulators in order to obtain synchronization in such complicated as chaotic motions of end-effectors. A chaotic curve is selected from Duffing equation as the trajectory of master end-effector and a piecewise approximation method is proposed to accurately represent this chaotic trajectory of end-effectors. The dynamical equations of master-slave manipulators with synchronization controller are derived, and the Lyapunov stability theory is used to determine the stability of this controlled synchronization system. In numer- ical experiments, the synchronous motions of end-effectors as well as three joint angles and torques of master-slave manipulators are studied under the control of the proposed synchronization strategy. It is found that the positive gain matrix affects the implementation of synchronization con- trol strategy. This synchronization control strategy proves the synchronization's feasibility and controllability for com- plicated motions generated by master-slave manipulators. 展开更多
关键词 master-slave manipulators - Chaoticsynchronization trajectory - Feedback control
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神经网络类机理建模下的持续自学习控制
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作者 谭天乐 张万超 +1 位作者 何永宁 周恒杰 《控制理论与应用》 EI CAS CSCD 北大核心 2024年第5期885-894,共10页
针对未知、时变复杂动力学系统在基于模型的控制中的动态建模问题,本文采用前向全连接神经网络对动力学系统进行数据驱动下的非机理拟合建模.通过动态线性化和归一化/反归一化数据处理,基于前向传播算法,将神经网络的网络拓扑计算过程... 针对未知、时变复杂动力学系统在基于模型的控制中的动态建模问题,本文采用前向全连接神经网络对动力学系统进行数据驱动下的非机理拟合建模.通过动态线性化和归一化/反归一化数据处理,基于前向传播算法,将神经网络的网络拓扑计算过程转化成动力学系统机理模型的同构等价表达形式.与基于模型的预测与反演控制相结合,提出了神经网络类机理建模下的持续自学习控制方法,探索了神经网络在动力学系统建模与控制中的可解释性问题.以机械臂为控制对象的仿真结果表明,神经网络类机理模型与机理模型在形式上同构,在参数上近似或等价,可用于控制系统控制品质的定性、定量分析.持续自学习控制对非线性未知、时变复杂系统具有较好的动态适应能力. 展开更多
关键词 黑箱系统 时变系统 非机理建模 神经网络建模 同构等价表达 模型预测与反演控制 持续自学习控制 机械臂控制
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平面整体式三自由度全柔顺并联机构拓扑优化构型设计及振动频率分析 被引量:13
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作者 朱大昌 宋马军 《振动与冲击》 EI CSCD 北大核心 2016年第3期27-33,40,共8页
通过建立并联原型机构的微分雅克比矩阵方程,实现平面整体式三自由度全柔顺并联机构与并联原型机构之间的矢量同构映射。在此基础上,建立平面整体式3-PRR型全柔顺并联机构SIMP(Solid Isotropic Microstructure with Penalization Method... 通过建立并联原型机构的微分雅克比矩阵方程,实现平面整体式三自由度全柔顺并联机构与并联原型机构之间的矢量同构映射。在此基础上,建立平面整体式3-PRR型全柔顺并联机构SIMP(Solid Isotropic Microstructure with Penalization Method)拓扑优化模型,并采用优化准则算法,结合矢量同构映射方程,进行了平面整体式3-PRR型全柔顺并联机构同构构型设计,通过应力分布和前四阶振动固有频率仿真对比研究表明:所采取的拓扑优化设计方法使平面整体式全柔顺并联机构具有一定的均布刚度和较好的振动抑制性能,且对其振动频率的分析可为机构尺寸优化及振型优化提供了重要的依据。同时,微运动特性的仿真表明其与传统并联原型机构之间的运动学同构性一致。该结果对平面整体式全柔顺并联机构的构型拓扑优化设计有实际意义。 展开更多
关键词 平面整体式三自由度全柔顺并联机构 微分矢量同构映射 拓扑优化 振动固有频率
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一种同构式主从液压机械手的设计 被引量:1
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作者 张丽 《机床与液压》 北大核心 2015年第22期120-121,124,共3页
提出一种同构式主从液压机械手,应用直线型光栅作为主手位置的检测装置、应用步进式电动推杆驱动从手,设计了新型液压传动装置并用此液压装置传递动力,主手的直线型光栅发出的脉冲经硬件电路处理后,直接作为步进式电动推杆的驱动与控制... 提出一种同构式主从液压机械手,应用直线型光栅作为主手位置的检测装置、应用步进式电动推杆驱动从手,设计了新型液压传动装置并用此液压装置传递动力,主手的直线型光栅发出的脉冲经硬件电路处理后,直接作为步进式电动推杆的驱动与控制脉冲,步进式电动推杆经液压传动装置把运动传递给机械手的从手,从手可完全、实时重复主手的动作。 展开更多
关键词 同构主从式机械手 直线型光栅 步进式电动推杆 实时再现
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Development of a Haptic Interface with Proximity Sensors and Vibration Motors
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作者 Keisuke Sato Yuuhei Sugimori 《Journal of Mechanics Engineering and Automation》 2015年第6期377-381,共5页
As described in this paper, we propose a new haptic interface for a service robot. For safety with service robots working in a space where people live, some notification before collision with an obstacle is desirable.... As described in this paper, we propose a new haptic interface for a service robot. For safety with service robots working in a space where people live, some notification before collision with an obstacle is desirable. To achieve such a function, we developed a master-slave manipulator system in which the slave manipulator surface is covered with many proximity sensors. Additionally, we developed a haptic device that feeds back proximity sense information to the operator using small vibration motors. We attached the haptic device to the arm of the operator and vibrated the vibration motor corresponding to the sensor. Thereby, the operator was able to ascertain the position of an object near the manipulator, and to make the robot maneuver to avoid it before collision. To confirm the system usefulness, we equipped subjects with the developed proximity sense presentation device and performed a detection-position-specific experiment and an obstacle avoidance experiment in a narrow space. As results of the detection position specific experiment on five subjects, four subjects reported the detection position correctly. The remaining one person failed because of his particular arm shape. Operation experiments conducted in a narrow space showed that all subjects' work was successful when given feedback of proximity sense information. Nobody was successful without proximity sense information. Results of these two experiments demonstrate that this proposed system is useful for obstacle avoidance of a master-slave manipulator system. 展开更多
关键词 master-slave manipulator proximity sensor vibration motor KINECT haptic device.
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