System identification
Servo motor and motion control using digital signal processors
Servo motor and motion control using digital signal processors
System identification (2nd ed.): theory for the user
System identification (2nd ed.): theory for the user
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The procedure of parameters identification of three-mass servo system using different methods is described in this paper. Both black-box and grey-box models are identified. The estimates of mechanical and electrical parameters, obtained using different data sets, are fairly stable. Experimental results show that a model consisting of three-masses connected by springs and dampers gives an acceptable description of the dynamics of the servo system. However, a lower order black-box model, gives better fit. A model-based Local Optimal Controller (LOC) is designed and implemented based on a low order black-box model. Experimental results show an efficient performance for the proposed controller during steady state, tracking, and disturbance rejection. The purpose of this contribution is to present practical identification and control of a multi-mass electromechanical servo system.