2011
DOI: 10.2478/v10180-011-0013-7
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Non-Invasive Parameter Identification by Using the Least Squares Method

Abstract: The paper presents an adapted least squares identification method for reducedorder parametric models. On the example of the open velocity loop, different model approaches were implemented in a motion control system. Furthermore, it is demonstrated how the accuracy of the method can be improved. Finally, experimental results are shown.

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Cited by 5 publications
(2 citation statements)
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“…A variance of less than 4% can be achieved for a hysteresis to operation point ratio >0.1. Comparing the achieved moments of inertia to other investigations [12,13], the experiments have shown an improvement of the accuracy. Simultaneously, a small value of the velocity (operation point) is sufficient.…”
Section: Identification Resultssupporting
confidence: 51%
See 1 more Smart Citation
“…A variance of less than 4% can be achieved for a hysteresis to operation point ratio >0.1. Comparing the achieved moments of inertia to other investigations [12,13], the experiments have shown an improvement of the accuracy. Simultaneously, a small value of the velocity (operation point) is sufficient.…”
Section: Identification Resultssupporting
confidence: 51%
“…According to Equation 13, the hysteresis of the relay is a free selectable parameter. Therefore, a compromise between the magnitude of the relay oscillation and the linearization error for the friction moment (12) has to be found. The moment of inertia for the mechanical system at different operation points is plotted with a variable hysteresis in Figure 9.…”
Section: Identification Resultsmentioning
confidence: 99%