The Problem of damping of operator's cabin vibrations is well recognized in middle and small size machines and vehicles (trucks, general; purpose earth moving machinery). However, mega- machines of mining industry define the separate class of objects, due to their mass (reaching up to thousands of tonnes), size and relating to their main frequencies in the range around 3Hz. The paper presents developments in the identification and vibrations control of a system for bucket wheel excavator operator's cabin. A semi-active damping system is proposed that based on magneto-rheological dampers and on a dedicated, iterative learning control (ILC) algorithm. The paper presents a method for identification potentially useful locations of sensors. In this paper we present the preliminary results of simulations, concerning the efficiency of the ILC algorithm. The algorithm of learning is based on efficient calculations of the Frechet derivative of a quality criterion with respect to a control signal.
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