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Application of adaptive controllers to a DC-motor

Published Online:pp 179-188

This paper presents the application of adaptive control strategy to a separately excited DC motor (SEDCM). An experimentally validated physical model for the SEDCM is first presented. Recursive identification of this model structure is carried out using a single-input single-output (SISO) parameter estimation algorithm to obtain an equivalent discrete-time state space model of the SEDCM system. Linear quadratic Gaussian (LQG) design is implemented on the estimated model with the objectives of reference tracking and disturbance rejection. Simulation studies are presented to demonstrate the effectiveness of the proposed scheme.


adaptive control, separately excited DC motor, SEDCM, linear quadratic Gaussian, ALQG, identification


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