Parameter Estimation of the Nonlinear Dynamics of a Thyristor Driven DC-Motor Experimental Set-Up Using HMF-Method

Abstract

The application of the Hartley modulating functions (HMF) method to estimate parameters of a thyristor driven dc-motor laboratory experimental set-up is investigated. The HMF-method is well suited for the parameter estimation of physically-based continuous-time nonlinear systems from their I/O-data records. This recently developed methodology uses a frequency dependent weighted least squares algorithm. The practical implementation of the HMF-method is facilitated by the computer-aided control system design software CADACS. The inputs of the dc-motor system are set from the personal computer CADACS software through D/A converters and the I/O-responses are displayed on the analog instruments as well as on the PC screen via A/D converters. Then, the I/O-data are applied to a suitable HMF-algorithm of the dc-motor model to estimate the physically-based system parameters. The practical application of the HMF-method and here obtained good results demonstrate the efficiency of this new approach.