50 research outputs found

    Accuracy Analysis of Two Parallel Manipulators

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    Robust stability analysis of machining operations

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    Robust stability of machining operations in case of uncertain frequency response functions

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    Prediction of machine tool chatter requires a dynamic characterization of the machine-tool-workpiece system by means of frequency response functions (FRFs). Stability lobe diagrams are sensitive to the uncertainties of the measured FRF, which reduces the reliability of their industrial application. In this paper, a frequency-domain method is presented to determine robust stability boundaries with respect to the uncertainties of the FRF. The method is based on an envelope fitting around the measured FRFs combined with some considerations of the single-frequency method. The application of the method is validated on a turning operation characterized by a series of FRF measurements. It is shown that stability analysis using the averaged FRF may considerably overestimate the region of robust stability

    Gateway placement and traffic load simulation in sensor networks

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    Because of the wide variety of possible application fields and the spread of smart devices, the research of wireless sensor networks has become an increasingly important area in the last decade. During the design of these networks, several important aspects have to be considered, for example the lifetime of the network, expected battery usage, or robustness of the installed system. In this paper a simulation environment is introduced that enables the testing of different information spreading methods on the network and provides suggestions for gateway placements with different objectives

    Extension of stability radius to neuromechanical systems with structured real perturbations

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    Robust Stability Analysis for Connected Vehicle Systems

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    For implementation in real traffic, connected vehicle systems should be designed to be robust against uncertainties arising from human-driven vehicles. Assuming that the bounds of uncertainties are known, we propose a frequency domain approach to guarantee robust string stability and to select optimal control parameters. The method is demonstrated by two case studies
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