The paper at hand deals with the optimization of multisine signals in terms of
effective value for identification of electric drive trains, considering constraints on position,
velocity, acceleration and torque. The advantage of maximizing the effective value while
respecting the constraints rather than minimizing the crest factor of the input signal is
delineated. Results with two algorithms suitable for this optimization task are presented for
different sets of dynamic constraints. It is shown that the proposed modified clipping algorithm
is much faster than the L1 optimization which is dedicated to simultaneous optimization of
several different signals, while being slightly less performant in terms of effective value.
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