Name
Title | ||
|---|---|---|
Flatness-based deadbeat control revisited: Robust and high-performance design for electrical drives |
Abstract | ||
|---|---|---|
The present contribution introduces an extension of deadbeat control applied to flat nonlinear systems in order to make it more robust while not compromising its performance. Conventional deadbeat control is shown to be based on feedback linearization and highly sensitive to uncertainties. So far, the only remedies are to tune the deadbeat controller and the according disturbance estimator more slowly. It is shown that by using feedforward linearization instead, the parametric sensitivity is considerably reduced. A generalized controller, a mix between feedback and feedforward linearization, is proposed. The result is a deadbeat controller with both high dynamic performance and high robustness. The experimental results on an induction machine demonstrate very fast reference tracking, high robustness to typical parameter uncertainties and active compensation of time-varying disturbances. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ACC.2013.6580100 | American Control Conference |
Keywords | Field | DocType |
asynchronous machines,electric drives,feedback,feedforward,linearisation techniques,machine control,nonlinear control systems,performance index,robust control,sensitivity analysis,disturbance estimator,dynamic performance,electrical drives,feedback linearization,feedforward linearization,flatness-based deadbeat control,generalized controller,high-performance design,induction machine,nonlinear systems,parametric sensitivity,robust design,time-varying disturbance compensation,uncertainty sensitivity | Flatness (systems theory),Control theory,Control theory,Computer science,Feedback linearization,Control engineering,Robustness (computer science),Robust control,Linearization,Machine control,Feed forward | Conference |
ISSN | ISBN | Citations |
0743-1619 | 978-1-4799-0177-7 | 2 |
PageRank | References | Authors |
0.41 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jean-Francois Stumper | 1 | 6 | 1.83 |
| Veit Hagenmeyer | 2 | 2 | 1.42 |
| Sascha Kuehl | 3 | 2 | 0.41 |
| Ralph Kennel | 4 | 111 | 26.94 |