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Adaptive nonlinear torque control of a switched reluctance motor via flux observation

โœ Scribed by L. Ben Amor; L.A. Dessaint; O. Akhrif


Publisher
Elsevier Science
Year
1995
Tongue
English
Weight
673 KB
Volume
38
Category
Article
ISSN
0378-4754

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โœฆ Synopsis


The objective of this paper is to design a high performance torque controller for a fifth order model of a three phase switched reluctance motor (SRM) which includes both electrical and mechanical dynamics. The same model was considered in where only position control was achieved. Industrial requirements (speed and torque control) were not necessarily fulfilled though. By controlling the instantaneous torque of SRM's, both speed and position control can be achieved and the fastest possible response as well as a reduction of torque ripple obtained.

The proposed nonlinear control scheme is based on the recently developed adaptive nonlinear techniques which combine the geometric concepts of input-output linearization with the Lyapunov design of adaptive linear control. Once the SRM model is linearized, a multivariable decoupling linear controller for torque and unselected currents stabilization is designed. The parameters uncertainty is compensated by the adaptive scheme.

The problem of accurately measuring the SRM torque is also addressed and a method which deduces the torque through flux observation is used. Simulation results are given to demonstrate the effectiveness of the control method.


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โœ Lotfi Ben Amor; Louis-A. Dessaint; Ouassima Akhrif; Guy Olivier ๐Ÿ“‚ Article ๐Ÿ“… 1993 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 766 KB

In this paper a non-linear adaptive feedback-linearizing control is designed for a fifth-order model of a three-phase switched reluctance motor (SRM) which includes both electrical and mechanical dynamics. This non-linear adaptive control structure compensates for all the non-linearities between inp