Persistence through Reliable Perching (PEP)
通过可靠栖息 (PEP) 实现持久性
基本信息
- 批准号:EP/R005494/1
- 负责人:
- 金额:$ 2.57万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2017
- 资助国家:英国
- 起止时间:2017 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Small Unmanned Aerial Systems (SUAS), enjoying the advantage of small size and low-weight, can be easily carried by end-users and rapidly deployed into different scenarios. However, multi-rotor, battery powered SUAS usually have the endurance of around 20 mins. In contrast, a common request for SUAS is the persistence of hours or more. Swarm Systems is developing a product for the growing market need of flying binoculars based on a Nano quadrotor platform (under 200g). Customers are specifically asking for a perch and stare capability to achieve persistence. However, perching using existing technology is very hit and miss. This Persistence through Reliable Perching (PEP) proposal has a goal of achieving greater than 99% reliability in perching on unprepared, outdoor locations in challenging weather conditions and taking off again. The PEP research approach includes: adding new passive and active sensors, creating soft sensors from combinations of existing sensors, researching a novel automatic abort using 'disturbance from internal model' techniques and innovating undercarriage design including multi-surface gripping. In particular, the Loughborough team will be responsible to develop the novel 'abort' flight control function to enable the SUAS to recover from unsuccessful perching in the presence of external disturbances such as wind gusts or contact with obstacles. A disturbance observer based on the quadrotor's internal model will be designed as a 'soft' sensor to provide estimates on abnormal external forces acting on the airframe together with normal sensors. The estimates will then be fed into a decision-maker to trigger the 'abort' flight mode, where a dedicated flight controller will be designed and optimised to perform this maneuver. PEP project management will be led by an analysis of perching ground types and weather conditions. The final 1/3 of the project will be focused on improving where testing proves that reliability is poor. The Loughborough team will use its world leading indoor flight test facility (using Vicon system) to verify its algorithm and help the system integration of different algorithms into Swarm System's Nano quadrotor. A commercial goal is to add a key new capability to Swarm Systems product, enabling it to win export orders.
小型无人机系统(SUAS)具有体积小、重量轻的优点,便于终端用户携带并快速部署到不同的场景中。然而,多旋翼、电池供电的SUAS通常具有约20分钟的续航力。相比之下,SUAS的常见要求是持续数小时或更长时间。Swarm Systems正在开发一种基于Nano四旋翼平台(200 g以下)的飞行双筒望远镜产品。客户特别要求一种栖息和凝视的能力来实现持久性。然而,使用现有技术栖息是非常偶然的。这种通过可靠栖息(PEP)的持久性建议的目标是实现超过99%的可靠性栖息在毫无准备的,户外地点在具有挑战性的天气条件下,并再次起飞。PEP的研究方法包括:增加新的被动和主动传感器,从现有传感器的组合创建软传感器,研究一种新的自动中止使用“内部模型的干扰”技术和创新的起落架设计,包括多表面夹持。特别是,拉夫堡团队将负责开发新的“中止”飞行控制功能,使SUAS能够在存在外部干扰(如阵风或与障碍物接触)的情况下从不成功的停留中恢复。基于四旋翼内部模型的干扰观测器将被设计为一个“软”传感器,以提供对作用在机身上的异常外力的估计。然后,估计值将被输入决策者以触发“中止”飞行模式,其中将设计和优化专用飞行控制器以执行此机动。PEP项目管理将通过对栖息地类型和天气条件的分析来指导。该项目的最后1/3将集中在改进测试证明可靠性差的地方。拉夫堡团队将使用其世界领先的室内飞行测试设施(使用Vicon系统)来验证其算法,并帮助将不同算法集成到Swarm System的Nano四旋翼机中。一个商业目标是为Swarm Systems产品增加一个关键的新功能,使其能够赢得出口订单。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Further results on "Reduced order disturbance observer for discrete-time linear systems"
- DOI:10.1016/j.automatica.2018.04.032
- 发表时间:2018-07
- 期刊:
- 影响因子:0
- 作者:Jinya Su;Wen‐Hua Chen
- 通讯作者:Jinya Su;Wen‐Hua Chen
Actuator Dynamics Augmented DOBC for A Small Fixed Wing UAV
- DOI:
- 发表时间:2018
- 期刊:
- 影响因子:0
- 作者:Jean Smith;Jun Yang;Wen‐Hua Chen;J. Yang;C. Liu
- 通讯作者:Jean Smith;Jun Yang;Wen‐Hua Chen;J. Yang;C. Liu
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Cunjia Liu其他文献
A Simple Optimal Planer Path Following Algorithm for Unmanned Aerial Vehicles∗
一种简单的无人机最优平面路径跟随算法*
- DOI:
10.23919/ecc.2018.8550125 - 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Jun Yang;Cunjia Liu;Zongyu Zuo;Wen‐Hua Chen - 通讯作者:
Wen‐Hua Chen
Adaptive informative path planning for active reconstruction of spatio-temporal water pollution dispersion using Unmanned Surface Vehicles
利用无人水面艇进行时空水污染扩散主动重建的自适应信息路径规划
- DOI:
10.1016/j.apor.2025.104458 - 发表时间:
2025-03-01 - 期刊:
- 影响因子:4.400
- 作者:
Song Ma;Cunjia Liu;Christopher M. Harvey;Richard Bucknall;Yuanchang Liu - 通讯作者:
Yuanchang Liu
Disturbance Rejection for Nonlinear Uncertain Systems With Output Measurement Errors: Application to a Helicopter Model
具有输出测量误差的非线性不确定系统的抗扰:在直升机模型中的应用
- DOI:
10.1109/tii.2019.2910841 - 发表时间:
2020-05 - 期刊:
- 影响因子:12.3
- 作者:
Yunda Yan;Chuanlin Zhang;Cunjia Liu;Jun Yang;Shihua Li - 通讯作者:
Shihua Li
Dual Control Inspired Active Sensing for Bearing-Only Target Tracking
双控制启发的主动传感,用于仅方位目标跟踪
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Timothy J. Glover;Cunjia Liu;Wen - 通讯作者:
Wen
On the Actuator Dynamics of Dynamic Control Allocation for a Small Fixed-Wing UAV With Direct Lift Control
直接升力控制小型固定翼无人机动态控制分配的作动器动力学研究
- DOI:
10.1109/tcst.2019.2945909 - 发表时间:
2020-03 - 期刊:
- 影响因子:4.8
- 作者:
Yunda Yan;Jun Yang;Cunjia Liu;Coombes Matthew;Shihua Li;Wenhua Chen - 通讯作者:
Wenhua Chen
Cunjia Liu的其他文献
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{{ truncateString('Cunjia Liu', 18)}}的其他基金
Space-enabled Crop disEase maNagement sErvice via Crop sprAying Drones (SCENE-CAD)
通过作物喷洒无人机提供太空作物病害管理服务 (SCENE-CAD)
- 批准号:
ST/V00137X/1 - 财政年份:2020
- 资助金额:
$ 2.57万 - 项目类别:
Research Grant
Autonomous landing of a helicopter at sea: advanced control in adverse conditions (AC2)
海上直升机自主着陆:不利条件下的先进控制(AC2)
- 批准号:
EP/P012868/1 - 财政年份:2017
- 资助金额:
$ 2.57万 - 项目类别:
Research Grant
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