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Increased of Efficiency in the Automated Training of Fuelling Machine Operators Using Iterative Simulation Learning

This article is to consider the current problem of training of fuelling machine operator. One of the most important features related to the training of fuelling machine operators is an objective assessment of learner learning skills during the learning and the formation of the control actions to improve the efficiency of the learning process using assessment results. The disadvantages of existing approaches to training of fuelling machine operators were identified: traditional teaching methods, using of electronic simulators and computer simulators. The principle of mathematical models of iterative learning in relation to training on computer simulators of fuelling machines was demonstrated. The principles of adaptive management of a process of the training task accomplishing by learner was formalized. An algorithm for management of the learning by learner taking into account the possibility of the learning process managing by the instructor has been developed. The practical significance of this study consists in the fact that the study results were applied to the creation of a computer simulator of specific fuelling machine developed within the framework of scientific-research project no. 2010/293 on August 19, 2010 by Department of Information Technologies and Computer-Based Systems, Perm National Research Polytechnic University for OAO "Motovilikhinskiye zavody" (Perm, Russia) and possibility of implementation to creation of a computer simulator of gantry crane within the scientific- research project of the research Department of Information Technologies and Computer-Based Systems.