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PIERS Online
Vol. 3
No. 2
2007
pp: 202-208Continuous Time Model Predictive Control for a Magnetic Bearing SystemJianming Huang, Liuping Wang, and Yang Huang doi:10.2529/PIERS060906214406 Downloads: 1586 Abstract:The nature of active magnetic bearings has many advantages over the conventional bearing, as its operation is energy efficient and potentially leads to cleaner and noise-free environment. However, the successful operation of an active magnetic bearing system requires a complex real-time control system, because of its unstable characteristics, as well as its nature of being a multi-input and multi-output system. This paper presents design and implementation of a continuous time model predictive control algorithm (CMPC) to an active magnetic bearing system (AMB). In this application, the plant continuous time model is identified from experimental data using prediction error method. The control performance of this algorithm is studied using an experimental AMB laboratory system. A host-target development environment of real-time digital control system with hardware in the loop (HIL) is implemented and demonstrated by controlling a nonlinear, open-loop unstable, and multivariable magnetic levitation device.References:1. Schweitzer., G, G. H. Bleuler, and A. Traxler, Active Magnetic Bearings: Basic, Properties and Applications of Active Magnetic Bearings, VDF Hochschulverlag, 1994. 2. Mohd-Mokhtar, R., L. P. Wang, L. J. Qin, and T. Barry, "Continuous time system identification of magnetic bearing systems using frequency response data," Proceedings of 5th Asian Control Conference, 2066-2072, Melbourne, Australia, July, 2004. 3. Srinivasan, S. and Y. M. Cho, "Modeling and system identification of active magnetic bearing system," Proceedings of the 4th IEEE Conference on Control Application, 252-260, New York, USA, September, 1995. 4. Ahn, H. J., S. W. Lee, S. B. Lee, and D. C. Han, "Frequency domain control-relevant identification of MIMO AMB rigid rotor," Automatica, Vol. 39, No. 2, 299-307. 5. Grega, W. and A. Pilat, "Comparison of linear control methods for an AMB system," International Journal of Applied Mathematics and Computer Science, Vol. 15, No. 2, 245-255. 6. Maciejowski, J. M., Predictive Control with Constraints, Pearson education limited, 2002. 7. Wang, L. P., "Continuous time model predictive control using orthonormal functions," International Journal of Control, Vol. 74, No. 16, 1588-1600. 8. Real Time Workshop User's Guide, MathWorks, Inc., MA, 1999. 9. xPC Target User's Guide, MathWorks, Inc., MA, 1999. 10. MBC 500 Magnetic Bearing System Operating Instructions, Magnetic Moments, LLC, 2004. 11. Shiakolas, P. S. and D. Piyabongkarn, "Development of a real-time digital control system with a hardware-in-the-loop magnetic levitation device for reinforcement of controls education," IEEE Transactions on Education, Vol. 46, No. 1, 79-87. |
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