Abstract
This paper addresses the discrete-time adaptive control design which incorporates internal model principle for asymptotic tracking performance of systems with parametric uncertainties, unmodeled dynamics and noise. The indirect adaptive control system applies projection or least squares parameter adaptation algorithm with dead zone, and frozen time stabilizing control. The global stability of the system is ensured under certain assumptions. The adaptive algorithm is applied to an electrohydraulic servo with periodic disturbances and reference trajectory. A frozen time stabilizing repetitive control is applied in parallel to the parameter adaptation algorithm. Experimental results show that the adaptive systems can tolerate parameter mismatch and unmodeled dynamics while maintaining stability and asymptotic tracking performance.
| Original language | English (US) |
|---|---|
| Title of host publication | Fluid Power Systems and Technology |
| Publisher | American Society of Mechanical Engineers (ASME) |
| Pages | 39-53 |
| Number of pages | 15 |
| ISBN (Electronic) | 9780791818367 |
| DOIs | |
| State | Published - 1997 |
| Externally published | Yes |
| Event | ASME 1997 International Mechanical Engineering Congress and Exposition, IMECE 1997 - Dallas, United States Duration: Nov 16 1997 → Nov 21 1997 |
Publication series
| Name | ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) |
|---|---|
| Volume | 1997-AI |
Conference
| Conference | ASME 1997 International Mechanical Engineering Congress and Exposition, IMECE 1997 |
|---|---|
| Country/Territory | United States |
| City | Dallas |
| Period | 11/16/97 → 11/21/97 |
Bibliographical note
Publisher Copyright:© 1997 American Society of Mechanical Engineers (ASME). All rights reserved.
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