東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

On improving control and efficiency ...

Li, Yifan.

FindBook

Google Book

Amazon

博客來

On improving control and efficiency of a portable pneumatically powered ankle-foot orthosis.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	On improving control and efficiency of a portable pneumatically powered ankle-foot orthosis./
作者:	Li, Yifan.
面頁冊數:	164 p.
附註:	Source: Dissertation Abstracts International, Volume: 75-07(E), Section: B.
Contained By:	Dissertation Abstracts International75-07B(E).
標題:	Engineering, Mechanical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3614641
ISBN:	9781303802430

On improving control and efficiency of a portable pneumatically powered ankle-foot orthosis.
Li, Yifan.

On improving control and efficiency of a portable pneumatically powered ankle-foot orthosis. - 164 p.

Source: Dissertation Abstracts International, Volume: 75-07(E), Section: B.

Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2013.

Ankle foot orthoses (AFOs) are widely used as assistive and/or rehabilitation devices to correct gait of people with lower leg neuromuscular dysfunction and muscle weakness. An AFO is an external device worn on the lower leg and foot that provides mechanical assistance at the ankle joint. Active AFOs are powered devices that provide assistive torque at the ankle joint. We have previously developed the Portable Powered Ankle-Foot Orthosis (PPAFO), which uses pneumatic power via compressed CO2 to provide untethered ankle torque assistance. My dissertation work focused on the development of control strategies for the PPAFO that are robust, applicable to different gait patterns, functional in different gait modes, and energy efficient. Three studies addressing these topics are presented in this dissertation: (1) estimation of the system state during the gait cycle for actuation control; (2) gait mode recognition and control (e.g., stair and ramp descent/ascent); and (3) system analysis and improvement of pneumatic energy efficiency.

ISBN: 9781303802430Subjects--Topical Terms:

783786
Engineering, Mechanical.

On improving control and efficiency of a portable pneumatically powered ankle-foot orthosis.
LDR:04551nam a2200337 4500 001 1967157
005 20141112080137.5
008 150210s2013 ||||||||||||||||| ||eng d
020 $a 9781303802430
035 $a (MiAaPQ)AAI3614641
035 $a AAI3614641
040 $a MiAaPQ $c MiAaPQ
100 1 $a Li, Yifan. $3 2104101
245 1 0 $a On improving control and efficiency of a portable pneumatically powered ankle-foot orthosis.
300 $a 164 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-07(E), Section: B.
500 $a Adviser: Elizabeth Hsiao-Wecksler.
502 $a Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2013.
520 $a Ankle foot orthoses (AFOs) are widely used as assistive and/or rehabilitation devices to correct gait of people with lower leg neuromuscular dysfunction and muscle weakness. An AFO is an external device worn on the lower leg and foot that provides mechanical assistance at the ankle joint. Active AFOs are powered devices that provide assistive torque at the ankle joint. We have previously developed the Portable Powered Ankle-Foot Orthosis (PPAFO), which uses pneumatic power via compressed CO2 to provide untethered ankle torque assistance. My dissertation work focused on the development of control strategies for the PPAFO that are robust, applicable to different gait patterns, functional in different gait modes, and energy efficient. Three studies addressing these topics are presented in this dissertation: (1) estimation of the system state during the gait cycle for actuation control; (2) gait mode recognition and control (e.g., stair and ramp descent/ascent); and (3) system analysis and improvement of pneumatic energy efficiency.
520 $a Study 1 presents the work on estimating the gait state for powered AFO control. The proposed scheme is a state estimator that reliably detects gait events while using only a limited array of sensor data (ankle angle and contact forces at the toe and heel). Our approach uses cross-correlation between a window of past measurements and a learned model to estimate the configuration of the human walker, and detects gait events based on this estimate. The proposed state estimator was experimentally validated on five healthy subjects and with one subject that had neuromuscular impairment. The results highlight that this new approach reduced the root-mean-square error by up to 40% for the impaired subject and up to 49% for the healthy subjects compared to a simplistic direct event controller. Moreover, this approach was robust to perturbations due to changes in walking speed and control actuation.
520 $a Study 2 proposed a gait mode recognition and control solution to identify a change in walking environment such as stair and ramp ascent/descent. Since portability is a key to the success of the PPAFO as a gait assist device, it is critical to recognize and control for multiple gait modes (i.e., level walking, stair ascent/descent and ramp ascent/descent). While manual mode switching is implemented on most devices, we propose an automatic gait mode recognition scheme by tracking the 3D position of the PPAFO from an inertial measurement unit (IMU). Experimental results indicate that the controller was able to identify the position, orientation and gait mode in real time, and properly control the actuation. The overall recognition success rate was over 97%.
520 $a Study 3 addressed improving operational runtime by analyzing the system efficiency and proposing an energy harvesting and recycling scheme to save fuel. Through a systematic analysis, the overall system efficiency was determined by deriving both the system operational efficiency and the system component efficiency. An improved pneumatic operation utilized an accumulator to harvest and then recycle the exhaust energy from a previous actuation to power the subsequent actuation. The overall system efficiency was improved from 20.5% to 29.7%, a fuel savings of 31%. Work losses across pneumatic components and solutions to improve them were quantified and discussed.
520 $a Future work including reducing delay in recognition, exploring faulty recognition, additional options for harvesting human energy, and learning control were proposed.
590 $a School code: 0090.
650 4 $a Engineering, Mechanical. $3 783786
650 4 $a Engineering, Robotics. $3 1018454
650 4 $a Biophysics, Biomechanics. $3 1035342
690 $a 0548
690 $a 0771
690 $a 0648
710 2 $a University of Illinois at Urbana-Champaign. $b Mechanical Sci & Engineering. $3 2094006
773 0 $t Dissertation Abstracts International $g 75-07B(E).
790 $a 0090
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3614641