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   MODEL ALGORITMIC CONTROL : AN APPLICATION TO DC MOTOR SPEED CONTROL   [View] 
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 Author(s)   O. Kaynak; T. Ozperk 
 Abstract   In this paper, a recently proposed method of control, namely Model Algorithmic Control (MAC) or equivalently Model Predictive Heuristic Control (MPHC), is presented and its application to the speed control of a seperately-excited dc motor is described. The control algorithm is evaluated by a Z-80 based microcomputer system and the control voltage thus obtained is applied to a fully controlled thyristor convertor feeding the motor. MAC ensures that the behaviour of the closed-loop system is prescribed by means of a reference trajectory initiated on the actual output. Two different sets of experimental results are presented. In one, the speed reference is changed in a step fashion and the algorithm causes the speed of the motor to reach the desired speed with a time constant similar to that of the reference trajectory (regulator problem). In the other, the set speed is changed as a linear ramp (tracking problem). In both cases, it is seen that the system is capable of following the reference trajectory in spite of the changes in motor parameters. 
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Filename:Unnamed file
Filesize:2.519 MB
 Type   Members Only 
 Date   Last modified 2021-03-11 by System