DocumentCode :
2721815
Title :
Fractional order adaptive control for systems of locally nonlinearizable nonlinearities
Author :
Tar, Jozsef K. ; Bencsik, Attila L. ; Koztowski, K.
Author_Institution :
Budapest Tech, Hungary
fYear :
2005
fDate :
23-25 June 2005
Firstpage :
355
Lastpage :
360
Abstract :
In this paper electromagnetic servo valve controlled differential hydraulic cylinders are considered as paradigms of non-linear systems that have locally nonlinearizable nonlinearities. One of them is of hydrodynamic origin: the flow resistance of the system is proportional to the square root of certain pressure difference that has infinite derivative at zero. The other nonlinearity is caused by the discontinuous behavior of the friction and adhesion forces between the piston and the cylinder at zero piston velocity. Such a behavior is difficult to control by the traditional PID controllers. Furthermore, uncertainties and variation of the hydrodynamic parameters in general make it unrealistic to develop an accurate model for such systems. Brocker and Lemmen proposed two different control approaches for the differential hydraulic cylinders based on the disturbance rejection, and on the partial flatness principles, respectively. In each case it was necessary to measure the external disturbance force and its time-derivative as well as to know the exact model of the system. Later on Tar et al. proposed an alternative adaptive approach that does not require to measure the disturbance force and to know the exact parameters of the cylinder. This method rejected to use time-derivatives because of the presence of friction, and, as a consequence it resulted in a very hectic transient phase of learning. In this paper an alternative approach is presented that combines this approach with the use of calculated time-derivatives that are "rejected" by adoptively varying the order of the derivation applied. In this way the harsh initial transients can be evaded. The operation of the method is presented by simulations.
Keywords :
adaptive control; adhesion; flow control; friction; hydraulic systems; learning (artificial intelligence); nonlinear control systems; servomechanisms; valves; adhesion force; differential hydraulic cylinders; discontinuous behavior; disturbance rejection; electromagnetic servo valve control; external disturbance force; flow resistance; fractional order adaptive control; friction force; learning; locally nonlinearizable nonlinearities; nonlinear systems; partial flatness principle; pressure; time-derivative; transients; zero piston velocity; Adaptive control; Control nonlinearities; Control systems; Force measurement; Friction; Hydrodynamics; Nonlinear control systems; Pistons; Servomechanisms; Valves;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robot Motion and Control, 2005. RoMoCo '05. Proceedings of the Fifth International Workshop on
Print_ISBN :
83-7143-266-6
Type :
conf
DOI :
10.1109/ROMOCO.2005.201449
Filename :
1554428
Link To Document :
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