Observer based control of piezoelectric actuators with classical duhem modeled hysteresis

Proceedings of the American Control Conference

Volumn , Issue , 2009, Pages 4221-4226

  Xie, Wen Fang ^a   Fu, Jun ^a   Yao, Han ^a   Su, C Y ^a  

^a Dept of Electrical and Computer Engineering   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONTROL SCHEMES; ADAPTIVE CONTROLLERS; DUHEM MODEL; HYSTERETIC EFFECTS; NEURAL NETWORK COMPENSATORS; OBSERVER BASED CONTROL; SIMULATION STUDIES; TRACKING ERRORS;

ADAPTIVE CONTROL SYSTEMS; CANTILEVER BEAMS; HYSTERESIS; NEURAL NETWORKS; PIEZOELECTRIC TRANSDUCERS; PIEZOELECTRICITY; SIMULATORS; TRACKING (POSITION);

PIEZOELECTRIC ACTUATORS;

EID: 70449633040     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACC.2009.5159851     Document Type: Conference Paper

References (28)

1. H. T. banks and R. C. Smith, "Hysteresis Modeling in Smart Material Systems," J. Appl. Mech. Eng, vol. 5, pp. 31-45, 2000.
2. X. Tan and J. S. Baras, "Modeling and Control of Hysteresis in Magnetostrictive Actuators," Automatica, 40 (9), 1469-1480, 2004.
3. M. Brokate and J. Sprekels, Hysteresis and Phase Transitions, New York: Springer-Verlag, 1996.
4. A. Visintin, Differential Models of Hysteresis, New York: Springer-Verlag, 1994.
5. D. C. Jiles, and D. L. Atherton, "Theory of Ferromagnetic Hysteresis," J. Magnet. Magn. Mater, 1986; 61: 48-60.
6. Gang Tao, Petar V. Kokotovic, "Adaptive Control of Plants with Unknown Hysteresis," IEEE Transactions on Automatic Control, 1995, 40(2), 200-212.
7. C.-Y. Su, Y. Stepanenko, J. Svoboda, and T. P. Leung, "Robust Adaptive Control of a Class of Nonlinear Systems with Unknown Backlash-Like Hysteresis," IEEE Transactions on Automatic Control 2000; 45(12): 2427-2432.
8. C.-Y. Su, Q, Wang, X. K. Chen, and S. Rakheja, "Adaptive Variable Structure Control of a Class of Nonlinear Systems with Unknown Prandtl-Ishlinskii Hysteresis," IEEE Transactions on Automatic Control, 2005; 50(12): 2069-2074.
9. X. B. Tan, and J. S. Baras, "Adaptive Identification and Control of Hysteresis in Smart Materials," IEEE Transactions on Automatic Control, 2005; 50(6) 827-839.
10. S. S. Ge, and C. Wang, "Direct Adaptive NN Control of a Class of Nonlinear Systems," IEEE Transactions on Neural Networks 2002; 13 (1): 214-221.
11. D. Makaveev, L. Dupre, and J. Melkebeek, "Neural-Network-Based Approach to Dynamic Hysteresis for Circular and Elliptical Magnetization in Electrical Steel Sheet," IEEE Transactions on Magnetics 2002; 38 (5): 3189-3191.
12. M. Kuczmann, and A. Ivanyi, "A New Neural-Network-Based Scalar Hysteresis Model," IEEE Transactions on Magnetics 2002; 38 (2): 857-860.
13. M. Beuschel, F. Hangl, and D. Schroder, "A General Approach for Hysteresis Modeling and Identification Using Neural Networks," Neural Networks Proceeding of the 1998 IEEE world Congress on Computational Intelligence. The 1998 IEEE International Joint Conference, 1998; 3: 2425-2428.
14. X. Zhao, and Y. Tan, "Neural Network Based Identification of Preisach-type Hysteresis in Piezoelectric Actuator Using Hysteretic Operator," Sensors and Actuators A: Physical, 2006; 126:306-311.
15. F. Lin, H Shieh, and P. Huang, "Adaptive Wavelet Neural Network Control With Hysteresis Estimation for Piezo-Positioning Mechanism," IEEE Transactions on Neural Network 2006; 17(2):432-444.
16. B. Yang, and W. Lin, "Homogeneous Observers, Iterative Design, and Global Stabilization of High-Order Nonlinear Systems by Smooth Output Feedback", IEEE Transactions on Automatic Control 2004; 49(7): 1069-1080.
17. A. J. K rener, and A. Isidori, "Linearization by Output Injection and Nonlinear Observer", Systems & Control Letters 1983; 3: 47-52.
18. A.J. Krener, and W. Kang, "Locally Convergent Nonlinear Observers," SIAM J. Control Optim. 2003; 42(1):157-177.
19. W. F. Xie, "Sliding-Mode-Observer-Based Adaptive Control for Servo Actuator with Friction", IEEE Transactions on Industrial Electronics 2007; 54 (3):1517-1528.
20. M. Kuczmann, and A. Ivanyi, "A New Neural-Network-Based Scalar Hysteresis Model," IEEE Transactions on Magnetics, 2002; 38 (2): 857-860.
21. B. D. Coleman, and M. L. Hodgdon, "On a Class of Constitutive Relations for Ferromagnetic Hysteresis," Arch. Rational Mech. Anal., 1987; 375-396.
22. J. W. Macki, P. Nistri, and P. Zecca, "Mathematical Models for Hysteresis," SIAM Review 1993; 35(1): 94-123.
23. R. Banning, W. L. Koning, J.J.Adriaens, and R.K.Koops, "State-space Analysis and Identification for a Class of Hysteretic Systems," Automatica, 2001; 37 (12): 1883-1892
24. K. Hornik, M. Stinchcombe, et al, "Multilayer Feedforward Networks are Universal Approximators," Neural Networks, 1989; 2:359-366.
25. R. R. Selmic, and F. L. Lewis, "Deadzone Compensation in Motion Control Systems Using Dynamical Neural Networks," IEEE Transactions on Automatic Control, 2000; 45(4):602-613.
26. F. Ikhouane, and J. Rodellar, Systems with Hysteresis-Analysis, Identification and Control Using the Bouc-Wen Model, John Wiley, 2007.
27. C.-Y. Su, and Y. Stepanenko, "Redesign of Hybrid Adaptive/Robust Motion Control of Rigid-link Electrically-driven Robot Manipulators," IEEE Transactions on Robotics and Automation, 1998; 14(4): 651-655.
28. C. Jan, and C.-L. Hwang, "Robust Control Design for a Piezoelectric Actuator System with Dominant Hysteresis," Industrial Electronics Society, 2000. IECON 2000, 26th Annual Conference of the IEEE 2006; 3: 1515-1520.