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   LINEAR QUADRATIC CONTROL OF A DC MOTOR   [View] 
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 Author(s)   M. Ghribi; Y. Dubé; K. AI-Haddad 
 Abstract   Numerical control of a D.C. motor is achieved by minimizing a quadratic criterion. This criterion is minimized subject to the state-space model constraint and includes the square of the control variables, the square of the deviation of the controlled variables around the set points and the square of the integral of the deviation. The state-space equations contain a linearization of the motor's equations and of the converter. The control law calculated using the dynamic programming is computed off-line and implanted on an IBM-PC/AT micro-computer. The efficiency of the control law is measured when varying the load to the motor. A comparative study between this control strategy and the commonly used closed-loop pole assignment is done. Experimental results are presented to compare the two control designs. 
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Filename:Unnamed file
Filesize:2.415 MB
 Type   Members Only 
 Date   Last modified 2021-02-15 by System