Online tracking of dynamically time-varying inertia using an enhanced SDFT-based estimation methodology
David Ceulemans,
Foeke Vanbecelaere,
Nick Van Oosterwyck
et al.
Abstract:The overall motion performance of mechatronic machines depends heavily on proper knowledge of the machine’s characteristics, among which the inertia. Moreover, the inertia of most multi-body mechanisms, for example, reciprocating slider-crank mechanisms, varies as a function of the machine position, thereby challenging optimal control. Nevertheless, the inertia’s variation is sometimes not known accurately enough or changes over time due to, e.g. a production process or premature wear, forcing an online contro… Show more
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