Analysis and Design of Derivative Free Filters against Derivative Based Filter on the Simulated Model of a Three Phase Induction Motor

References

[1] P. Vas, “Sensorless Vector and Direct Torque Control,” Oxford University Press, New York, 1998.

[2]
M. Burat, S. Bogosyan and M. Gokasan, “Speed Sensorless Estimation for Induction Motors Using Extended Kalman Filters,” IEEE Transactions on Industrial Electronics, Vol. 54, No. 1, February 2007, pp. 272-280.

[3]
M. Burat, S. Bogosyan and M. Gokasan, “Braided Extended Kalman Filters for Sensorless Estimation in Induction Motors at High-low/Zero Speed,” IET Control Theory & Applications, Vol. 1, No. 4, 2007, pp. 987-998.

[4]
M. Burat, S. Bogosyan and M. Gokasan, “Speed Sensorless Direct Torque Control of IMs with Rotor Resistance Estimation,” Energy Conversion and Management, Vol. 46, No. 3, 2005, pp. 335-349.

[5]
M. Burat, S. Bogosyan and M. Gokasan, “An EKF Based Estimator for Speed Sensorless Vector Control of Induction Motors,” Electric Power Components and Systems, Vol. 33, No. 7, 2005, pp. 727-744.

[6]
J. Holtz, “Sensorless Control of Induction Machines with or without Signal Injection?” IEEE Transactions on Industrial Electronics, Vol. 53, No. 1, February 2006, pp. 7-30.

[7]
J. W. Finch, D. J. Atkinson and P. P. Acarnley, “Full- Order Estimator for Induction Motor States and Parameters,” IEE Electric Power Applications, Vol. 145, No. 3, May 1998, pp. 169-179.

[8]
C. Lascu, I. Boldea and F. Blaabjerg, “Comparitive Study of Adaptive and Inherently Sensorless Observers for Variable Speed Induction Motor Drives,” IEEE Transactions on Industrial Electronics, Vol. 53, No. 1, February 2006, pp. 57-65.

[9]
G. G. Soto, E. Mendes and A. Razek, “Reduced-Order Observers for Rotor Flux, Rotor Resistance and Speed Estimation for Vector Controlled Induction Motor Drive Using the Extended Kalman Filter Technique,” IEE Proceedings Electric Power Applications, Vol. 146, No. 3, May 1999.

[10]
H.-W. Kim and S.-K. Sul, “A New Motor Speed Estimator Using Kalman Filter in Low-Speed Range,” IEEE Transactions on Industrial Electronics, Vol. 43, No. 4, August 1996, pp. 498-504.

[11]
D. J. Atkinson, J. W. Finch and P. P. Acarnley, “Estimation of Rotor Resistance in Induction Motors,” IEE Proceedings Electric Power Applications, Vol. 146, No. 3, January 1996.

[12]
K. L. Shi, T. F. Chan, Y. K. Wong and S. L. Ho, “Speed Sensorless Control of an Induction Motor Drive Using an Optimized Extended Kalman Filter,” IEEE Transactions on Industrial Electronics, Vol. 49, No. 1, February 2002, pp. 124-133.

[13]
Y.-R. Kim, S.-K. Sul and M.-H. Park, “Speed Sensorless Vector Control of Induction Motor Using Extended Kalman Filter,” IEEE Transactions on Industrial Electronics, Vol. 30, No. 5, September/October 1994, pp. 1225-1233.

[14]
S. Julier, J. K. Uhlmann and H. F. Durrant-Whyte, “A New Method for the Nonlinear Transformation of Means and Covariances in Filters and Estimators,” IEEE Transactions on Automatic Control, Vol. 45, No. 3, March 2000, pp. 477-482.

[15]
S. J. Julier and J. K. Uhlmann, “Unscented Filtering and Nonlinear Estimation,” Proceedings of the IEEE, Vol. 92, No. 3, March 2004, pp. 401-422.

[16]
K. Xiong, H. Y. Zhang and C. W. Chan, “Performance Evaluation of UKF-Based Nonlinear Filtering,” Automatica, Vol. 42, 2006, pp. 261-270.

[17]
B. Akin, U. Orguner and A. Ersak, “State Estimation Using Unscented Kalman Filter,” Proceedings of IEEE, 2003, pp. 915-919.

[18]
R. van der Merwe and E. A. Wan, “The Square-Root Unscented Kalman Filter for State and Parameter Estimation,” Proceedings of the International Conference on Acoustics, Speech and signal processing, May 2001.

[19]
J. Lie, Y. R. Zhong and H. P. Ren, “Speed Estimation of Induction Machines Using Square Root Unscented Kalman Filter,” Proceedings of the IEEE, 2005, pp. 674-679.

[20]
G. Evensen, “Ensemble Kalman Filter: Theoretical Formulation and Practical Implementation,” Ocean Dynamics, Vol. 53, 2003, pp. 343-367.

[21]
G. Burgers, P. J. Van Leeuwen and G. Evenson, “Analysis Scheme in Ensemble Kalman Filter,” American Meteorological Society, Vol. 126, 1998, pp. 1719-1724.

[22]
J. Prakash, S. C. Patwardhan and S. L. Shah, “Constrain- ed State Estimation Using the Ensemble Kalman Filter,” Proceedings of the American control conference, 2008, pp. 3542-3547.

[23]
M. S. Arulampalam, S. Maskell, N. Gordon and T. Clapp, “A Tutorial on Particle Filters for Online Nonlinear/non- Gaussian Bayesian Tracking,” IEEE Transactions on Signal processing, Vol. 50, No. 2, 2002, pp. 174-188.

[24]
S. Gillijns, O. B. Mendoza, J. Chandrasekar, B. L. R. De Moor, D. S. Bernstein and A. Ridley, “What is the Ensemble Kalman Filter and How Well does it Work?” Proceedings of the American control conference, 2006, pp. 4448-4453.

[25]
S. C. Patwardhan, J. Prakash and S. L. Shah, “Soft Sensing and State Estimation: Review and Recent Trends,” Proceedings of IFAC Conference on Cost Effective Automation, Mexico, Vol. 1, Part 1, 2008.