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The technique of wavelet transforms in the computer-aided system for controlling the unmanned dump trucks movement

Introduction, purpose of the work. Within the framework of the computer-aided system, the technology of a method is formed to control the current trajectories (CT) of unmanned vehicles (UMV) when they move along quarry routes in open-pit mining. The purpose of the presented research is to analyze the application of the wavelet transforms technique to the problem of routing unmanned vehicles when they move along quarry routes. Methodology. The results of modeling one-dimensional signals corresponding to the UMV current trajectories are presented, when the latters deviate to the left / right from the nominal axial trajectory (NAT), as well as their time-frequency distributions in the wavelet medium. The algorithm of the procedure for displaying scalar signals is developed and described to control UMV CT in a complex medium of time-frequency wavelet transforms. This transformation allows you to monitor the movement of UMV in a functionally transparent and informative way and effectively manage the processes of trajectory routing of dump trucks in the quarry. The analysis of research results. The processes of modifying the current trajectories of the UMV movement under the control of the computer-aided system are generated using the methods of wavelet transforms. They are based on algorithms for projecting trajectory signals with a time-dependent frequency (chirp signals) onto a set of wavelet functions within a wavelet thesaurus (wavelet dictionary), wavelet matching pursuit procedures, and representing scalar signals in a specific multidimensional medium of Cohen’s class time-frequency distributions. Simulation results in the form of waveform trajectory (CT-) signals and their three-dimensional Wigner time-frequency maps representing the movement of UMV in a start-stop mode, and the signals of formed continuous deviation trajectories while they deflect to the left and right of NAT. The algorithm for generating a 3D-image of a UMV current trajectory one-dimensional signal is presented. Conclusion. It is concluded that the mathematical technique of wavelet transforms is the most appropriate and effective one for computer-aided monitoring and controlling the dynamics of UMV moving along opencast mine routes.