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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kong, N. Davoudi, A. Hagen, M. Oettinger, E. Ming Xu Dong Sam Ha Lee, F.C. |
| Copyright Year | 2009 |
| Description | Author affiliation: Virginia Polytechnic Institute and State University, Blacksburg, VA 24061 USA. kongna@vt.edu (Kong, N.) || Texas Instruments Incorporated, Rochester, MN 55901 USA. Mark.Hagen@ti.com (Hagen, M.) || Texas Instruments Incorporated, Rochester, MN 55901 USA. eric.oettinger@ti.com (Oettinger, E.) || Virginia Polytechnic Institute and State University, Blacksburg, VA 24061 USA. mixu3@vt.edu (Ming Xu) || University of Illinois at Urbana-Champaign, Urbana, IL 61081 USA. davoudi2@uiuc.edu (Davoudi, A.) || Virginia Polytechnic Institute and State University, Blacksburg, VA 24061 USA. ha@vt.edu (Dong Sam Ha) || Virginia Polytechnic Institute and State University, Blacksburg, VA 24061 USA. fclee@vt.edu (Lee, F.C.) |
| Abstract | Real-time system identification is desirable for designing a proper feedback controller in a practical system. Digital control provides the potential advantages of on-line programmability to apply adaptive control. The digital nature of the feedback signal facilitates the communication between the converter and the processing unit (e.g., microcontroller). These features of digital control make it possible to estimate the real-time system parameters by means of system identification in situ (in-place), and then design and configure the controller accordingly. In this paper, an automated system identification method for digitally-controlled multi-phase DC-DC converters is set forth. Fourier analysis is utilized because of the potential for closed-loop identification and high measurement signal-to-noise ratio. The phase loss and zero-order-hold due to digital control are considered. The identification results for single- and multi-phase DC-DC converters closely match those obtained from conventional network analyzer and models. The proposed method can be done by a stand-alone digital controller; therefore it eliminates the expense of external test equipment. The identification results can be used for controller configuration without pre-existing knowledge of the power stage parameters. This opens up a possibility of moving the determination of the loop compensation from a lab bench to a factory floor or even to an end customer's application. |
| Starting Page | 259 |
| Ending Page | 263 |
| File Size | 359860 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424428113 |
| ISSN | 10482334 |
| DOI | 10.1109/APEC.2009.4802665 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-02-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | System identification DC-DC power converters Digital control Real time systems Adaptive control Open loop systems Feedback Signal processing Microcontrollers Automatic control DC-DC converters system identification digital control |
| Content Type | Text |
| Resource Type | Article |
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