Open-loop and closed-loop experimental on-line identification of a three-mass electromechanical system

Mechatronics

Volumn 14, Issue 5, 2004, Pages 549-565

  Eker, Ilyas ^a  

^a GAZIANTEP UNIVERSITY   (Turkey)

Author keywords

DC motors; Least squares; On line plant identification; Prediction error; Recursive estimation; Three mass system

Indexed keywords

DC MOTORS; DIFFERENTIAL EQUATIONS; DISCRETE TIME CONTROL SYSTEMS; ELECTRICAL ENGINEERING; ELECTROMECHANICAL DEVICES; ELECTRONICS ENGINEERING; IDENTIFICATION (CONTROL SYSTEMS); LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; REAL TIME SYSTEMS; RECURSIVE FUNCTIONS;

LEAST-SQUARES; ON-LINE PLANT IDENTIFICATION; PREDICTION ERRORS; RECURSIVE ESTIMATION; THREE-MASS SYSTEMS;

CLOSED LOOP CONTROL SYSTEMS;

EID: 1842507895     PISSN: 09574158     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mechatronics.2003.10.006     Document Type: Article

References (28)

1. Lyshevski S.E. Nonlinear control of mechatronic systems with permanent-magnet DC motors. Mechatronics. 9:1999;539-552.
2. Jang J.O., Jeon G.J. A parallel neuro-controller for DC motors containing nonlinear friction. Neurocomputing. 30:2000;233-248.
3. Lin J.M., Lin M.C., Wang H.P. LEQG/LTR controller design with extended Kalman filter for sensorless brushless DC driver. Comput. Methods Appl. Mech. Eng. 190:2001;5481-5494.
4. Horng J.H. Neural adaptive tracking control of a DC motor. Inform. Sci. 118:1999;1-13.
5. Yavin Y., Kemp P.D. Modelling and control of the motion of a rolling disk: effect of the motor dynamics on the dynamical model. Comput. Methods Appl. Mech. Eng. 188:2000;613-624.
6. Mummadi V.C. Steady-state and dynamic performance analysis of PV supplied DC motors fed from intermediate power converter. Solar Energy Mater. Solar Cells. 61:2000;365-381.
7. Santana J., Naredo J.L., Sandoval F., Grout I., Argueta O.J. Simulation and construction of a speed control for a DC series motor. Mechatronics. 2(9/10):2002;1145-1156.
8. Ziaei K., Sepehri N. Modelling and identification of electrohydraulic servos. Mechatronics. 10:2000;761-772.
9. Chung M.J., Gweon D.G. Modelling of the armature slotting effect in the magnetic field distribution of a linear permanent magnet motors. Electr. Eng. 84(2):2002;101-108.
10. Minkova M.D., Minkov D., Rodgerson J.L., Harley R.G. Adaptive neural speed controller of a dc motor. Electr. Power Syst. Res. 47:1998;123-132.
11. Forssell U., Ljung L. Closed-loop identification revisited. Automatica. 35:1999;1215-1241.
12. Hori Y., Iseki H., Sigiura K. Basic consideration of vibration suppression and disturbance rejection control of multi-inertia system using state feedback and load acceleration control. IEEE Trans. Ind. Appl. 30(4):1994;889-896.
13. Astrom K.J., Wittenmark B. Adaptive control. 1989;Addison-Wesley, USA.
14. Oldak S., Baril C., Gutman P.O. Quantitative design of a class of nonlinear systems with parameter uncertainty. Int. J. Robust Nonlinear Control. 4:1994;101-107.
15. Östring M., Gunnarsson S., Norrlöf M. Closed-loop identification of an industrial robot containing flexibilities. Control Eng. Practice. 11(3):2003;291-300.
16. Plummer A.R., Vaughan N.D. Robust adaptive control for hydraulic servo systems. ASME J. Dynam. Syst., Measure. Control. 118:1996;237-244.
17. Alexander C.W., Trahan R.E. A comparison of traditional and adaptive control strategies for systems with time delay. ISA Trans. 40:2001;353-368.
18. Seborg D.E., Edgar T.F., Mellichamp D.A. Process Dynam. Control. 1989;Wiley, New York, NY, USA.
19. Benvenuti L., De Santis A., Farina L. On model consistency in compartmental systems identification. Automatica. 38:2002;1969-1976.
20. Ljung L. System identification: theory for the user. 1987;Prentice-Hall, Englewood Cliffs, NJ, USA.
21. Wellstead P.E., Zarrop M.B. Self-tuning systems: control and signal processing. 1991;John Wiley and Sons, UK.
22. Hang C.C., Lee T.H., Weng K.H. Adaptive control. 1993;Instrument Society of America, USA.
23. Huang B. Process identification based on last principal component analysis. J. Process Control. 11:2001;19-33.
24. Robertson D.G., Lee J.H. On the use of constraints in least squares estimation and control. Automatica. 38:2002;1113-1123.
25. Craig W.B., Russell E.T. A comparison of traditional and adaptive control strategies for systems with time delay. ISA Trans. 40:2001;353-368.
26. Zele M., Juricic D. Model validation in iterative identification and controller design. Math. Comput. Simulat. 46:1998;575-583.
27. Godfrey K. Perturbation signals for system identification. Prentice Hall International Series in Acoustics, Speech and Signal Processing. 1993;Prentice-Hall, UK.
28. Lakshminarayanan S., Emoto G., Ebara S., Tomida K., Shah S.L. Closed-loop identification and control loop reconfiguration: an industrial case study. J. Process Control. 11:2001;587-599.