Multi Criteria Sampled-data H∞ Control Applied to the Choice of Sampling Rate and Anti-alias Filter
نویسندگان
چکیده
A systematic evaluation procedure for the choice of sampling rate and anti-alias filter in sampled-data control is presented. It is based on a multi criteria H∞ optimization procedure, where sampled-data measures are introduced to capture the intersample behavior. The optimization scheme is based on linear matrix inequalities (LMIs) formulated in the delta operator, and the result is a low order controller of PID type. Both low frequency performance, mid frequency stability margins and high frequency control activity are taken into account. The evaluation procedure suggests to use higher sampling rates than typical text books recommend.
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