Convergence Test of Model Reference Parameter Adaptive SRM Drives László Számel BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS H-1111 Budapest, Egry József u. 18. Budapest, Hungary Tel.: +36 / (1) – 463.29.71. Fax: +36 / (1) – 463.36.00. E-Mail: szamel@eik.bme.hu URL: http://www.vgt.bme.hu/info/cv/szamellaszlo.htm Acknowledgements This paper was supported by the Hungarian National Scientific Funds (OTKA Ref. No.T042866), for which the author expresses his sincere gratitude. Keywords «Adaptive Control», «Robust control», «Servo-drive», «Simulation», «Switched reluctance drive» Abstract Nowadays switched reluctance motor (SRM) drives have been widely used in the field of controlled electric motor drives. The paper proposes a model reference parameter adaptive control method for SRM drives. The main goal of the drive control is to improve dynamical performance by compensating for the motor nonlinearities. The adaptation practically works only in a relatively narrow speed error track (adaptation range) which is equal to approximately 20-100 revolution/min absolute value of speed error. The drawback of this limitation is the relatively short time for the algorithm to operate. But the convergence of the algorithm is extremely fast which significantly reduces the effect of this drawback. Two more important advantages emerge when adaptation works only with small speed errors. First of all the controller at changing drive parameters adapts to parameters around the value specified by speed reference signal which also assists to speed the adaptation. The other significant positive effect is the disappearing of the problem coming from nonlinear systems that the response of the system can even differ in its character when the value, amplitude of the reference signal is changed. The convergence test of this control method was performed in an experimental drive system. A SRM of 6/8 pole and 4 kW rated power was used. Simulation and experimental results are presented. Introduction In motion control systems are robustness against parameter changes and disturbance rejection of main interest. The model reference adaptive control has the following features: • It makes the compliance of the system with varying operational conditions possible and ensures the behavior of the controlled system according to the prescribed reference model. • It means such a special type of adaptive systems which results in nonlinear control systems. This is the reason why the analytical analysis is completed by Lyapunov stability criterium or by hyper-stability principle. • Its planning and application is closely related to the using of computer methods. • Simple realisation of the control algorithm. In this paper the application of a model reference parameter adaptive control to switched reluctance motors is presented. Convergence Test of Model Reference Parameter Adaptive SRM Drives SZAMEL Laszlo EPE 2005 - Dresden ISBN : 90-75815-08-5 P.1