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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bongsu Hahn Oldham, K.R. |
| Copyright Year | 2012 |
| Description | Author affiliation: Dept. of Mech. Eng., Univ. of Michigan, Ann Arbor, MI, USA (Bongsu Hahn; Oldham, K.R.) |
| Abstract | In micro-scale electromechanical systems, power to perform accurate position sensing often greatly exceed the power needed to generate motion. This paper explores the implications of sampling rate and amplifier noise density selection on performance of a system identification algorithm using a capacitive sensing circuit. Specific performance objectives are to minimize or limit convergence rate and power consumption to identify dynamics of a rotary micro-stage. A rearrangement of the conventional recursive least-squares identification algorithm is performed to make operating cost an explicit function of sensor design parameters. It is observed that there is a strong dependence of convergence rate and error on sampling rate, while energy dependence is driven by error that may be tolerated in final identified parameters. |
| Sponsorship | IEEE Control Syst. Soc. |
| Starting Page | 86 |
| Ending Page | 91 |
| File Size | 1206767 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457710957 |
| ISSN | 07431619 |
| e-ISBN | 9781457710964 |
| e-ISBN | 9781467321020 |
| DOI | 10.1109/ACC.2012.6315562 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-27 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | American Automatic Control Council(AACC) |
| Subject Keyword | Sensors Noise Standards Power demand Actuators Vectors Mathematical model |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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