Integrated Structure/Control Design of Mechatronic Systems Using a Recursive Structure Reinforcement Method

使用递归结构强化方法的机电系统集成结构/控制设计

基本信息

  • 批准号:
    9414585
  • 负责人:
  • 金额:
    $ 22.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    1994
  • 资助国家:
    美国
  • 起止时间:
    1994-10-01 至 1997-09-30
  • 项目状态:
    已结题

项目摘要

9414585 Asada In the design of high speed mechatronic systems, such as disk drives, chip placement machines and three-dimensional coordinate measurement machines, an integrated approach to the optimization of mechanical structures, actuators and sensors together with controllers is increasingly important. There are significant interplays and trade-offs between mechanical design and control design, which must be considered carefully to optimize the total system performance. This research will establish a novel method for the integrated design of high speed mechatronic systems. To overcome the difficulty of obtaining exact analytic models, this project incorporates prototyping and experimentation into the design process. Based on a model verified through experiments, the design is modified, and its performance improvement is examined through prototyping and experimentation. This project forms a closed-loop recursive process comprising design modification, prototyping, and experimentation. In each recursion, a prototype control system is tested experimentally, the system model is corrected and refined based on the data, design trade-offs are made to determine an optimal design change, and the prototype is physically modified in accordance with the determined design change.
在高速机电系统的设计中,如磁盘驱动器、贴片机和三维坐标测量机,机械结构、致动器和传感器以及控制器的综合优化方法变得越来越重要。机械设计和控制设计之间存在重要的相互作用和权衡,必须仔细考虑以优化整个系统性能。该研究为高速机电一体化系统的集成设计提供了一种新的思路。为了克服获得精确分析模型的困难,本项目将原型设计和实验纳入设计过程。在经过实验验证的模型基础上,对设计进行了修改,并通过原型设计和实验验证了其性能改进情况。这个项目形成了一个闭环递归过程,包括设计修改、原型制作和实验。在每个递归中,对原型控制系统进行实验测试,根据数据对系统模型进行修正和完善,进行设计权衡以确定最优设计变更,并根据确定的设计变更对原型进行物理修改。

项目成果

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Haruhiko Asada其他文献

Reinforcement Learning of Assembly Robots
装配机器人的强化学习
  • DOI:
    10.1007/bfb0027599
  • 发表时间:
    1993
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Boo;Haruhiko Asada
  • 通讯作者:
    Haruhiko Asada
Industrial Problem Session: Robotics and Discrete Manufacturing
  • DOI:
    10.1016/s1474-6670(17)61330-2
  • 发表时间:
    1984-07-01
  • 期刊:
  • 影响因子:
  • 作者:
    Yasujiro Oshima;Jozsef Hatvany;Haruhiko Asada;Eichi Nakao;Otmar G. Ladanyi
  • 通讯作者:
    Otmar G. Ladanyi
Experimental Verification of Human Skill Transfer to Deburring Robots
人类技能向去毛刺机器人转移的实验验证
  • DOI:
    10.1007/bfb0036131
  • 发表时间:
    1991
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Haruhiko Asada;Sheng Liu
  • 通讯作者:
    Sheng Liu
Progressive learning for robotic assembly: learning impedance with an excitation scheduling method
机器人装配的渐进式学习:使用激励调度方法学习阻抗
Development of a Holonomic Omnidirectional Vehicle and an Accurate Guidance Method of the Vehicles
完整全向飞行器研制及其精确制导方法

Haruhiko Asada的其他文献

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{{ truncateString('Haruhiko Asada', 18)}}的其他基金

NSF Convergence Accelerator Track M: Soft Growing Robots for Mobility Support
NSF 融合加速器轨道 M:用于移动支持的软生长机器人
  • 批准号:
    2344314
  • 财政年份:
    2024
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Standard Grant
Collaborative Research: NRI: Remotely Operated Reconfigurable Walker Robots for Eldercare
合作研究:NRI:用于老年护理的远程操作可重构步行机器人
  • 批准号:
    2133072
  • 财政年份:
    2022
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Standard Grant
Planning Grant: Engineering Research Center for Connected Eldercare
规划资助:互联养老工程研究中心
  • 批准号:
    2124319
  • 财政年份:
    2021
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Standard Grant
Accurate Linearization and Control of Non-linear Physical Systems using Increased Variables
使用增加的变量对非线性物理系统进行精确线性化和控制
  • 批准号:
    2021625
  • 财政年份:
    2020
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Standard Grant
Computational Modeling for Predicting 3D Cancer Cell Invasion into the Extracellular Fiber Network
用于预测 3D 癌细胞侵入细胞外纤维网络的计算模型
  • 批准号:
    1762961
  • 财政年份:
    2018
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Standard Grant
SBIR Phase I: Wearable Grippers for Hemiplegic Patients
SBIR 第一阶段:偏瘫患者的可穿戴抓手
  • 批准号:
    1548953
  • 财政年份:
    2016
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Standard Grant
Control-Configured Underwater Robots for Precision Multi-Axis Maneuvering
用于精密多轴操纵的控制配置水下机器人
  • 批准号:
    1363391
  • 财政年份:
    2014
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Standard Grant
A Multi-Cellular PZT Actuator/Generator with Tunable Stiffness and Resonant Frequencies
具有可调刚度和谐振频率的多单元 PZT 致动器/发生器
  • 批准号:
    1000727
  • 财政年份:
    2010
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Standard Grant
Stochastic Recruitment and Broadcast Feedback of Cellular Control Systems and Its Application to Muscle Actuators
细胞控制系统的随机募集和广播反馈及其在肌肉执行器中的应用
  • 批准号:
    0728162
  • 财政年份:
    2007
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Standard Grant
Segmented Binary Control of Solid-State Shape-Memory-Alloy Array Actuators for Biologically Inspired Robotic Systems
用于仿生机器人系统的固态形状记忆合金阵列执行器的分段二进制控制
  • 批准号:
    0413242
  • 财政年份:
    2004
  • 资助金额:
    $ 22.5万
  • 项目类别:
    Continuing Grant

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