Indirect measurements via a polynomial chaos observer

IEEE Transactions on Instrumentation and Measurement

Volumn 56, Issue 3, 2007, Pages 743-752

  Smith, Anton H C ^a   Monti, Antonello ^a   Ponci, Ferdinanda ^a  

^a University of South Carolina   (United States)

Author keywords

Kalman filtering; Observability; Observers; State space method; Stochastic system; Uncertainty

Indexed keywords

CHAOS THEORY; CLOSED LOOP SYSTEMS; KALMAN FILTERS; OBSERVABILITY; POLYNOMIALS; STATE SPACE METHODS; STOCHASTIC MODELS;

INDIRECT MEASUREMENTS; MODEL PARAMETERS; POLYNOMIAL CHAOS OBSERVER;

UNCERTAIN SYSTEMS;

EID: 34249007785     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2007.894914     Document Type: Article

References (16)

1. G. C. Verghese and S. R. Sanders, "Observers for flux estimation in induction machines," IEEE Trans. Ind. Electron., vol. 35, no. 1, pp. 85-94, Feb. 1988.
2. J. M. Corres and P. M. Gil, "High-performance feedforward control of IM using speed and disturbance torque observer with noise reduction of shaft encoder," in Proc. IEEE ISIE, Jul. 8-11, 2002, vol. 2, pp. 403-408.
3. C. Kral, F. Pirker, and G. Pascoli, "Model based detection of rotor faults without rotor position sensor - The sensorless Vienna monitoring method," in Proc. 4th IEEE SDEMPED, Aug. 24-26, 2003, pp. 253-258.
4. J. D. Kozlowski, C. S. Byington, A. K. Garga, M. J. Watson, and T. A. Hay, "Model-based predictive diagnostics for electrochemical energy sources," in Proc. IEEE Aerosp. Conf., Mar. 10-17, 2001, vol. 6, pp. 3149-3164.
5. M. S. N. Said, M. E. H. Benbouzid, and A. Benchaib, "Detection of broken bars in induction motors using an extended Kalman filter for rotor resistance sensorless estimation," IEEE Trans. Energy Convers. vol. 15, no. 1, pp. 66-70, Mar. 2000.
6. S. Bolognani, L. Tubiana, and M. Zigliotto, "Extended Kalman filter tuning in sensorless PMSM drives," IEEE Trans. Ind. Appl., vol. 39, no. 6, pp. 1741-1747, Nov.-Dec. 2003.
7. N. Wiener, "The homogeneous chaos," Amer. J. Math., vol. 60, no. 4, pp. 897-936, Oct. 1938.
8. D. Xiu and G. E. Karniadakis, "The Wiener-Askey polynomial chaos for stochastic differential equations," SIAM J. Sci. Comput., vol. 24, no. 2, pp. 619-644, 2002.
9. D. Xiu and G. E. Karniadakis, "Modeling uncertainty in flow simulations via generalized polynomial chaos," J. Comput. Phys., vol. 187, no. 1, pp. 137-167, May 2003.
10. D. Xiu, D. Lucor, C.-H. Su, and G. E. Karniadakis, "Stochastic modeling of flow-structure interactions using generalized polynomial chaos," J. Fluid Eng., vol. 124, no. 1, pp. 51-59, Mar. 2002.
11. T. Lovett, A. Monti, and F. Ponci, "A polynomial chaos theory approach to the control design of a power converter," in Proc. IEEE Power Electron. Spec. Conf., Jun. 20-25, 2004, pp. 4809-4813.
12. A. Monti, F. Ponci, and T. Lovett, "A polynomial chaos theory approach to uncertainty in electrical engineering," in Proc. IEEE Intell. Syst. Application Power Syst. (ISAP), Washington, DC, Nov. 7-10, 2005, pp. 534-539.
13. T. Lovett, A. Monti, and F. Ponci,, "A polynomial chaos approach to measurement uncertainty," in Proc. IEEE AMUEM, Niagara Falls, ON, Canada, May 2005, pp. 33-38.
14. J. F. Burl, Linear Optimal Control. Reading, MA: Addison-Wesley.
15. J. G. Kassakian, M. F. Schlecht, and G. C. Verghese, Principles of Power Electronics. Reading, MA: Addison-Wesley, 1991.
16. A. Smith, A. Monti, and F. Ponci, "Indirect measurements via polynomial chaos observer," in Proc. AMEUM, Trento, Italy, Apr. 20-21, 2006, pp. 27-32.