This article deals with the use of neural networks for estimation of deceleration model parameters for the adaptive cruise control unit. The article describes the basic functionality of adaptive cruise control and creates a mathematical model of braking, which is one of the basic functions of adaptive cruise control. Furthermore, an analysis of the influences acting in the braking process is performed, the most significant of which are used in the design of deceleration prediction for the adaptive cruise control unit using neural networks. Such a connection using artificial neural networks using modern sensors can be another step towards full vehicle autonomy. The advantage of this approach is the original use of neural networks, which refines the determination of the deceleration value of the vehicle in front of a static or dynamic obstacle, while including a number of influences that affect the braking process and thus increase driving safety.

Torsional characteristics of the gearboxes are important for kinematic and dynamic behaviour of the whole drive train, especially the resonances. Measured values are used as an input for further dynamic calculations. The measurement of the torsional stiffness and backlash is carried out. For this purpose the incremental rotary sensors and magnetic sensor of position are used. The results shown the behaviour of the torsional stiffness of the gearbox during loading. Furthermore the backlash of the gearbox is measured.

This article deals with adaptive control of the belt conveyor preloading. One of the main factors influencing the behaviour of the belt conveyor is preload of conveyor belt. Adaptive control of this parameter is possible to optimize the service parameters of belt conveyors. The function of adaptive control of the belt conveyor preloading is experimentally verified.

Goal of a project solved with company Pragometal, s.r.o. is to create a new design of integrated wrapping palletizer. This machine will have new design properties such as integrated manipulation with goods into carrying structure of wrapping machine, new controlling system, new conception of running of roll and device for ending and welding of film. Newly design machine is based on unique join of two separated machines (palletizing and wrapping) into one workplace. This integration requires high demands on precision of kinematic, preliminary and checking calculations of individual machine components. Components of carrying structure and machine are designed with help of FEM calculations. These calculations are experimentally verified on real prototype of machine before series production is started. This verification is needed to ensure demanded operating reliability and life of newly designed machine.

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