Abstract
It is important for a continuous path control to identify the machine parameters, such as inertia and dominant nonlinear friction. This paper presents a practical identification method for the inertia and Coulomb friction by using steepest descent method and low-pass filtered M-sequence, in which the model in the inverse transfer-function quickly approaches to the true machine parameters. It is shown in the experimentation using real machine that the steepest descent method with a dead band is very effective in order to reduce estimation error and from the practical point of view.
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