50 research outputs found
Sensitivity of stability charts with respect to modal parameter uncertainties for turning operations
Robust stability of machining operations in case of uncertain frequency response functions
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
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
Robust Stability Analysis for Connected Vehicle Systems
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