Abstract
A robust control of an active magnetic suspension requires an accurate plant model and proper model uncertainties. Moreover, the selection of control design performance weighting functions is not straightforward. In this paper, the design of a centralized H∞ controller of an active magnetic suspension is considered. Two design approaches are examined: an H∞ loop-shaping control design procedure and a signal-based H∞ control. The tuning of the design performance functions is carried out applying a genetic algorithm. The robust stability of the gain-scheduled H∞ controller is verified in the presence of real parametric and non-parametric frequency-dependent uncertainties. Accurate models of the system and its uncertainties can be obtained using engineering models and frequency response functions of the test-rig. Finally, simulations and experimental results confirm the effectiveness of the signal-based H∞ approach.
| Original language | English |
|---|---|
| Pages (from-to) | 995-1006 |
| Journal | Mechanical Systems and Signal Processing |
| Volume | 24 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1 May 2010 |
| MoE publication type | A1 Journal article-refereed |
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Keywords
- Centralized control
- H control
- Magnetic levitation
- Stability
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H∞ control of active magnetic suspension. / Jastrzebski, Rafal P.; Hynynen, Katja M.; Smirnov, Alexander.
In: Mechanical Systems and Signal Processing, Vol. 24, No. 4, 01.05.2010, p. 995-1006.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - H∞ control of active magnetic suspension
AU - Jastrzebski, Rafal P.
AU - Hynynen, Katja M.
AU - Smirnov, Alexander
PY - 2010/5/1
Y1 - 2010/5/1
N2 - A robust control of an active magnetic suspension requires an accurate plant model and proper model uncertainties. Moreover, the selection of control design performance weighting functions is not straightforward. In this paper, the design of a centralized H∞ controller of an active magnetic suspension is considered. Two design approaches are examined: an H∞ loop-shaping control design procedure and a signal-based H∞ control. The tuning of the design performance functions is carried out applying a genetic algorithm. The robust stability of the gain-scheduled H∞ controller is verified in the presence of real parametric and non-parametric frequency-dependent uncertainties. Accurate models of the system and its uncertainties can be obtained using engineering models and frequency response functions of the test-rig. Finally, simulations and experimental results confirm the effectiveness of the signal-based H∞ approach.
AB - A robust control of an active magnetic suspension requires an accurate plant model and proper model uncertainties. Moreover, the selection of control design performance weighting functions is not straightforward. In this paper, the design of a centralized H∞ controller of an active magnetic suspension is considered. Two design approaches are examined: an H∞ loop-shaping control design procedure and a signal-based H∞ control. The tuning of the design performance functions is carried out applying a genetic algorithm. The robust stability of the gain-scheduled H∞ controller is verified in the presence of real parametric and non-parametric frequency-dependent uncertainties. Accurate models of the system and its uncertainties can be obtained using engineering models and frequency response functions of the test-rig. Finally, simulations and experimental results confirm the effectiveness of the signal-based H∞ approach.
KW - Centralized control
KW - H control
KW - Magnetic levitation
KW - Stability
UR - http://www.scopus.com/inward/record.url?scp=77949492204&partnerID=8YFLogxK
U2 - 10.1016/j.ymssp.2009.10.008
DO - 10.1016/j.ymssp.2009.10.008
M3 - Article
VL - 24
SP - 995
EP - 1006
JO - Mechanical Systems and Signal Processing
JF - Mechanical Systems and Signal Processing
SN - 0888-3270
IS - 4
ER -