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020 ▼a 9780438125131
035 ▼a (MiAaPQ)AAI10902912
035 ▼a (MiAaPQ)umichrackham:001144
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 621
1001 ▼a Qu, Jinhong.
24510 ▼a Modeling, Sensing, and Estimation for Miniature Dynamic Systems with Contact.
260 ▼a [S.l.]: ▼b University of Michigan., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 188 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: Kenn Richard Oldham.
5021 ▼a Thesis (Ph.D.)--University of Michigan, 2018.
520 ▼a This dissertation focuses on modeling and sensing for miniature devices characterized by mixed elastic and rigid body motion with contact. Understanding dynamics of miniature devices, including microelectromechanical systems (MEMS) and related s
520 ▼a The first task is to model the dynamics of a magnetoelastic micro-motor. The magnetoelastic micro-motor has characteristics of large payload capacity and feasibility of bidirectional motion. These characteristics suggest it as a good candidate f
520 ▼a The second task is to model the nonlinear hybrid dynamics of a piezoelectric walking micro-robot. The piezoelectric micro-robot is suitable for integration with control and power systems because a relatively large payload can be supported at low
520 ▼a The third task is to improve micro-robot performance using the resulting understanding of the robots' nonlinear hybrid dynamics. One such step is the development of optimization algorithms for robot inputs. Acquisition of on-board sensing inform
590 ▼a School code: 0127.
650 4 ▼a Mechanical engineering.
650 4 ▼a Robotics.
690 ▼a 0548
690 ▼a 0771
71020 ▼a University of Michigan. ▼b Mechanical Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0127
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000424 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033