Integrated sensing for energy-efficient electromagnetic (EM) locks
用于节能电磁 (EM) 锁的集成传感
基本信息
- 批准号:430865-2012
- 负责人:
- 金额:$ 1.82万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Engage Grants Program
- 财政年份:2012
- 资助国家:加拿大
- 起止时间:2012-01-01 至 2013-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This ENGAGE proposal seeks funding for the feasibility study on the development of a smarter and more energy-efficient electromagnetic (EM) lock by incorporating low-cost sensing technologies. EM locks operate by electromagnetic forces and require continuous power consumption to remain locked. This research is motivated from the fact that there exist many applications where the door with an EM lock is rarely accessed in normal situation yet the EM lock has to remain locked all the time consuming unnecessary electric power. The main idea of this proposal is to investigate on the feasibility of monitoring the magnetic reluctance (or the magnetic resistance) through the existing electromagnet to detect initial and imminent attempt to open the door. If magnetic locks can be equipped with such a "self-sensing" capability, we can possibly run them with a very low effective holding force (i.e. drawing very little current) in most of time while no force is applied to open the door. This will bring significant energy saving since the full power can only be applied when an attempt is made to gain entry through the door. The technical objectives of the proposed research are 1) to investigate on the existing technologies of realtime monitoring of magnetic reluctance, and 2) to develop a reliable and cost-effective way to integrate such a sensing capability into the current EM locks.
该ENGAGE提案旨在通过整合低成本传感技术,为开发更智能,更节能的电磁(EM)锁的可行性研究寻求资金。EM锁通过电磁力操作,并且需要持续的功率消耗来保持锁定。这项研究的动机来自于这样的事实,即存在许多应用,其中具有EM锁的门在正常情况下很少被访问,而EM锁必须一直保持锁定,从而消耗不必要的电力。该提案的主要思想是研究通过现有电磁体监测磁阻(或磁阻)以检测开门的初始和即将发生的尝试的可行性。如果磁锁可以配备这样的“自感知”能力,我们可以在大部分时间内以非常低的有效保持力(即,汲取非常小的电流)运行它们,而不施加力来打开门。这将带来显著的节能,因为只有当试图通过门进入时才能施加全功率。拟议研究的技术目标是:1)调查现有的磁阻实时监测技术; 2)开发一种可靠且具有成本效益的方法,将这种传感能力集成到当前的电磁锁中。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Jeon, Soo其他文献
Design and optimization of a cam-actuated electrohydraulic brake system
- DOI:
10.1177/0954407017713103 - 发表时间:
2018-06-01 - 期刊:
- 影响因子:1.7
- 作者:
Durali, Laaleh;Khajepour, Amir;Jeon, Soo - 通讯作者:
Jeon, Soo
Benefits of acceleration measurement in velocity estimation and motion control
- DOI:
10.1016/j.conengprac.2005.10.004 - 发表时间:
2007-03-01 - 期刊:
- 影响因子:4.9
- 作者:
Jeon, Soo;Tomizuka, Masayoshi - 通讯作者:
Tomizuka, Masayoshi
Model Predictive Control for integrated lateral stability, traction/braking control, and rollover prevention of electric vehicles
- DOI:
10.1080/00423114.2019.1585557 - 发表时间:
2020-01-02 - 期刊:
- 影响因子:3.6
- 作者:
Ataei, Mansour;Khajepour, Amir;Jeon, Soo - 通讯作者:
Jeon, Soo
Rollover stabilities of three-wheeled vehicles including road configuration effects
- DOI:
10.1177/0954407017695007 - 发表时间:
2017-06-01 - 期刊:
- 影响因子:1.7
- 作者:
Ataei, Mansour;Khajepour, Amir;Jeon, Soo - 通讯作者:
Jeon, Soo
A general rollover index for tripped and un-tripped rollovers on flat and sloped roads
- DOI:
10.1177/0954407017743345 - 发表时间:
2019-02-01 - 期刊:
- 影响因子:1.7
- 作者:
Ataei, Mansour;Khajepour, Amir;Jeon, Soo - 通讯作者:
Jeon, Soo
Jeon, Soo的其他文献
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{{ truncateString('Jeon, Soo', 18)}}的其他基金
Integrated Machine Learning and Control for Synthesis of Dexterous Manipulation Skills
集成机器学习和控制以综合灵巧的操作技能
- 批准号:
RGPIN-2020-04746 - 财政年份:2022
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Integrated Machine Learning and Control for Synthesis of Dexterous Manipulation Skills
集成机器学习和控制以综合灵巧的操作技能
- 批准号:
RGPIN-2020-04746 - 财政年份:2021
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Integrated Machine Learning and Control for Synthesis of Dexterous Manipulation Skills
集成机器学习和控制以综合灵巧的操作技能
- 批准号:
RGPIN-2020-04746 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
MOST - Task-relevant perception and control for human-oriented operation of mobile manipulators in semi-structured environments
MOST - 半结构化环境中移动机械手人性化操作的任务相关感知和控制
- 批准号:
506987-2017 - 财政年份:2019
- 资助金额:
$ 1.82万 - 项目类别:
Strategic Projects - Group
Multimodal Sensory Integration and Control for Interactive Dexterous In-Hand Object Manipulation
用于交互式灵巧手持物体操纵的多模态感觉集成和控制
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RGPIN-2015-05273 - 财政年份:2019
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
MOST - Task-relevant perception and control for human-oriented operation of mobile manipulators in**semi-structured environments
MOST - 半结构化环境中移动机械手的人性化操作的任务相关感知和控制
- 批准号:
506987-2017 - 财政年份:2018
- 资助金额:
$ 1.82万 - 项目类别:
Strategic Projects - Group
Multimodal Sensory Integration and Control for Interactive Dexterous In-Hand Object Manipulation
用于交互式灵巧手持物体操纵的多模态感觉集成和控制
- 批准号:
RGPIN-2015-05273 - 财政年份:2018
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Multimodal Sensory Integration and Control for Interactive Dexterous In-Hand Object Manipulation
用于交互式灵巧手持物体操纵的多模态感觉集成和控制
- 批准号:
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- 资助金额:
$ 1.82万 - 项目类别:
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A Wrist Module for the Upgrade of a Light-Weight Robotic Arm
用于轻型机械臂升级的腕部模块
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Multimodal Sensory Integration and Control for Interactive Dexterous In-Hand Object Manipulation
用于交互式灵巧手持物体操纵的多模态感觉集成和控制
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RGPIN-2015-05273 - 财政年份:2017
- 资助金额:
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Discovery Grants Program - Individual
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