Keba ServoOne User Manual

8.3.6.2Cubicinterpolation
Image 8.35: Interpolation polynomial, 7th degree
Image 8.36: Cubic spline interpolation
ID No.: 0842.26B.5-01Date: 09.2020
ServoOne- Device Help
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8 Motion profile
As polynomials become more and more unstable as the order of magnitude
increases – that is to say, fluctuate widely between the interpolation points – in
practice polynomials of an order greater than 5 are rarely applied. Instead, large
data sets are interpolated in chunks.
In the case of linear interpolation, that would be a frequency polygon; in the case of
2nd or 3rd order polynomials the usual term used is spline interpolation. In the case
of sectionally defined interpolants, the question of consistency and differentiation at
the interpolation points is of major importance.
8.3.6.3ServoOneinterpolationtypes
P No. Index Name / Setting Unit Description
370 0 CON_IP  InterpolationtypeinIPmode
  NoIp(0)  Nointerpolation:
Thevaluesaretransferred1:1toreference
processingin1mscycles.
  Lin(1)  Linearinterpolation:
Inthelinearinterpolationmethodthe
accelerationbetweentwopointsisgenerally
zero.Pre-controloftheaccelerationvaluesis
thusnotpossibleandspeedjumpsarealways
caused.
  SplineExtFF(2)  Interpolationwithexternalpre-control:
OnlyonrequestfromKEBA.
Table 8.18: Interpolation types ServoOne

Keba ServoOne Specifications

General

Brand	Keba
Model	ServoOne
Category	Controller
Language	English