Adaptive robust dead-zone compensation control of electro-hydraulic servo systems with load disturbance rejection

1. Plummer A R and Vaughan N D, Robust adaptive control for hydraulic servo systems, ASME J. Dyn. Sys. Meas. Control, 1996, 118(2): 237–244.

   Article  Google Scholar 

2. Thompson D F, Pruyn J S, and Shukla A, Feedback design for robust tracking and robust stiffness in flight control actuators using a modified QFT technique, International Journal of Control, 1999, 72(16): 1480–1497.

   Article  MATH  MathSciNet  Google Scholar 

3. Alleyne A and Hedrick J K, Nonlinear adaptive-control of active suspensions, IEEE Transactions on Control Systems Technology, 1995, 3(1): 94–101.

   Article  Google Scholar 

4. Mohanty A and Yao B, Indirect adaptive robust control of hydraulic manipulators with accurate parameter estimates, IEEE Transactions on Control System Technology, 2011, 19(3): 567–575.

   Article  Google Scholar 

5. Alleyne A and Liu R, On the limitations of force tracking control for hydraulic servosystems, ASME J. Dyn. Sys. Meas. Control, 1999, 121(2): 184.

   Article  Google Scholar 

6. Lim T J, Pole placement control of an electrohydraulic servo motor, Proceedings of Second International Conference on Power Electronics and Drive Systems, New York, USA, 1997, 350–355.

   Chapter  Google Scholar 

7. Del Re L and Isidori A, Performance enhancement of nonlinear drives by feedback linearization of linear-bilinear cascade models, IEEE Transactions on Control Systems Technology, 1995, 3(3): 299–308.

   Article  Google Scholar 

8. Garagic D and Srinivasan K, Application of nonlinear adaptive control techniques to an electrohydraulic velocity servo mechanism, Proceedings of the American Control Conference, 2002, 1797–1804.

   Google Scholar 

9. Bonchis A, Corke P I, Rye D C, and Ha Q P, Variable structure methods in hydraulic servo systems control, Automatica, 2001, 37(4): 589–595.

   Article  MATH  MathSciNet  Google Scholar 

10. Bessa W M, Dutra M S, and Kreuzer E, An adaptive fuzzy dead-zone compensation scheme and its application to electro-hydraulic systems, Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2010, 32(1): 1–7.

    Article  Google Scholar 

11. Slotine J J and Sastry S S, Tracking control of non-linear systems using sliding surfaces, with application to robot manipulators, International Journal of Control, 1983, 38(2): 465–492.

    Article  MATH  MathSciNet  Google Scholar 

12. Chung C S and Chun-Liang L, A transformed lure problem for sliding mode control and chattering reduction, IEEE Transactions on Automatic Control, 1999, 44(3): 563–568.

    Article  MATH  Google Scholar 

13. Knohl T and Unbehauen H, Adaptive position control of electrohydraulic servo systems using ANN, Mechatronics, 2000, 10(1-2): 127–143.

    Article  Google Scholar 

14. Utkin V I, Sliding mode control design principles and applications to electric drives, IEEE Transactions on Industrial Electronics, 1993, 40(1): 23–36.

    Article  Google Scholar 

15. Campos J and Lewis F L, Deadzone compensation in discrete time using adaptive fuzzy logic, IEEE Transactions on Fuzzy Systems, 1999, 7(6): 697–707.

    Article  Google Scholar 

16. Gang T and Kokotovic P V, Adaptive control of plants with unknown dead-zones, IEEE Transactions on Automatic Control, 1994, 39(1): 59–68.

    Article  MATH  Google Scholar 

17. Zhou J, Wen C, and Zhang Y, Adaptive output control of nonlinear systems with uncertain dead-zone nonlinearity, IEEE Transactions on Automatic Control, 2006, 51(3): 504–511.

    Article  MathSciNet  Google Scholar 

18. Tong S and Li Y, Adaptive fuzzy output feedback tracking backstepping control of strict-feedback nonlinear systems with unknown dead zones, IEEE Transactions on Fuzzy Systems, 2012, 20(1): 168–180.

    Article  Google Scholar 

19. Liu S and Yao B, Characterization and attenuation of sandwiched deadband problem using describing function analysis and application to electrohydraulic systems controlled by closedcenter valves, Journal of Dynamic Systems, Measurement and Control, 2009, 131: 0310021–7.

    Google Scholar 

20. Hu C, Yao B, and Wang Q, Adaptive robust precision motion control of systems with unknown input dead-zones: A case study with comparative experiments, IEEE Transactions on Industrial Electronics, 2011, 58(6): 2454–2464.

    Article  Google Scholar 

21. Mohanty A and Yao B, Integrated direct/indirect adaptive robust control of hydraulic manipulators with valve deadband, IEEE/ASME Transactions on Mechatronics, 2011, 16(4): 707–715.

    Article  Google Scholar 

22. Yao B, High performance adaptive robust control of nonlinear systems: A general framework and new schemes, Proceedings of the 36th IEEE Conference on Decision and Control, 1997, 2489–2494.

    Google Scholar 

23. Yao B, Bu F, and Chiu G T C, Nonlinear adaptive robust control of electro-hydraulic servo systems with discontinuous projections, Proceedings of the 37th IEEE Conference on Decision and Control, 1998, 2265–2270.

    Google Scholar 

24. Merritt H E, Hydraulic Control Systems, Wiley, New York, 1967.

    Google Scholar 

25. Wang Z and Zhang Y, Robust adaptive dead-zone compensation in motion control, Control Theory and Applications, 2008, 25(3): 475–484.

    MATH  Google Scholar 

26. Slotine J E and Li W, Applied Nonlinear Control, Prentice Hall, Ner Jersey, 1991.

    MATH  Google Scholar 

27. Angue-Mintsa H, Venugopal R, Kenne J P, and Belleau C, Adaptive position control of an electrohydraulic servo system with load disturbance rejection and friction compensation, ASME J. Dyn. Sys. Meas. Control, 2011, 133: 0645061-8.

    Article  Google Scholar 

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