Abstract
This paper discusses possibilities to apply the dynamic identification with a discrete linear model while assessing the state of the electro-hydraulic drive dynamics. This evaluation is crucial while designing modern power or positional control systems. Experimental data is applied in order to determine the model dynamics of the real system and estimate unknown parameters of an object model. The dependencies were interpreted. The paper includes the selected results of current identification tests of the electro-hydraulic drive system as a result of which the discrete parametric object model was derived.
Highlights
Conventional control systems designed for specific working conditions operate well provided that they are subject to small deviations from these conditions
A problem of incomplete information about the object should not be taken into account
In order to allow tracking the model parameters with quickly variable values, an attempt to improve RLS was made by using the adaptation of exponential forgetting coefficient t so that it would include the change of input and output parameters during the object identification
Summary
Conventional control systems designed for specific working conditions operate well provided that they are subject to small deviations from these conditions. In the object control structures with incomplete information, algorithms providing the identification of system indeterminateness and change of the controllers’ settings might be distinguished. It makes it possible to adjust the control system to variable conditions. The identification is applied when the rules governing the model phenomenon are either unknown or too complicated to be used for designing the model construction for control purposes In such a situation in order to determine the model dynamics of the real system and estimate unknown parameters of an object model, experimental data is applied. Depending on these model optimal controller parameters are calculated and adjusted
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