The positioning accuracy of computer numerical control machines tools and manufacturing systems is affected by structural deformations, especially for large sized systems. Heat induced deformations, long-period deformation of foundations, and the manufacturing process itself, cause time-dependent structural deformations of the machine body, which are difficult to model and predict. In fact, the feasibility of a model-based error prediction is often limited by the complexity of the problem from both the geometrical and the physical point of view. As a consequence, only limited success has been achieved in active error compensation based on the modeling of the relationship between the generalized dynamic loads and the structural deformation field. This paper illustrates a different approach in active error compensation, which exploits a new measurement system, currently in the patenting process, able to measure, in real time, the machine structural displacement field, without any model for the dynamic structural behavior. The first part of the paper illustrates the working principle of the measurement system, which can be described as coupled hardware and software subsystems. The hardware subsystem is basically a triangular mesh of struts, whose nodes are rigidly connected to the underlying structure under measurement. The struts are instrumented with Fibre-optic Bragg Gratings providing their longitudinal strain values. The software part is an algorithm, which evaluates the discrete displacement field by computing the node positions on the basis of the strut longitudinal deformations. The second part of the work focuses on the performance, in terms of accuracy, resolution, and time stability, of a prototype of the above described measurement system. Finally, the third part illustrates two major enhancements on the system design: the design of a monolithic variant of the reticular structure (with higher performances and reduced cost), and a different computation algorithm providing increased accuracy and limited error propagation.

1.
Bryan
J.
,
1990
. “
International status of thermal error research
”.
Annals of the CIRP
,
39
(
2)
, pp.
645
656
.
2.
Ramesh
R.
,
Mannan
M.
, and
Poo
A.
,
2000
. “
Error compensation in machine tools — a review: Part II: thermal errors
”.
International Journal of Machine Tools and Manufacture
(
40)
, pp.
1257
1284
.
3.
Ramesh
R.
,
Mannan
M.
, and
Poo
A.
,
2000
. “
Error compensation in machine tools — a review: Part I: geometric, cutting-force induced and fixture-dependent errors
”.
International Journal of Machine Tools and Manufacture
,
40
(
9)
, July, pp.
1235
1256
.
4.
Bohez
E.
,
2002
. “
Compensating for systematic errors in 5-axis NC machining
”.
Computer-Aided Design
,
34
(
5)
, April, pp.
391
403
.
5.
Yang
S.
,
Yuan
J.
, and
Ni
J.
,
1996
. “
The improvement of thermal error modelling and compensation on machine tools by CMAC neural network
”.
International Journal of Machine Tools and Manufacture
,
36
(
4)
, pp.
527
537
.
6.
Biral, F., Bosetti, P., Oboe, R., and Tondini, F., 2006. “A new direct deformation sensor for active compensation of positioning errors in large milling machines”. In Advanced Motion Control ‘06, Vol. 1, Advanced Motion Control, IEEE, pp. 126–131.
7.
Bosetti, P., and Nainer, A., 2006. Metodo per determinare e compensare lo stato di deformazione in strutture complesse di macchine utensili a controllo numerico e sistema di sensori ottici compositi. Patent application n. MO2006A000104.
8.
Berti, G., Bosetti, P., and Da Lio, M., 2003. “Positioning error prediction in boring machines”. In 6th A.I.Te.M. International Conference.
9.
Rao
Y.-J.
,
1997
. “
In-fibre Bragg grating sensors
”.
Meas. Sci. Technol.
,
8
, pp.
355
375
.
10.
Niewczas
P.
,
Willshire
A.
,
Dziuda
L.
, and
McDonald
J.
,
2004
. “
Performance analysis of the fiber Bragg grating interrogation system based on an arrayed waveguide grating
”.
Instrumentation and Measurement, IEEE Transactions
,
53
(
4)
, Aug, pp.
1192
1196
.
11.
Zhu
Y.
,
Shum
P.
,
Lu
C.
,
Lacquet
M. B.
,
Swart
P. L.
,
Chtcherbakov
A. A.
, and
Spammer
S. J.
,
2003
. “
Temperature insensitive measurements of static displacements using a fiber Bragg grating
”.
OPTICS EXPRESS
, Vol.
11
(No.
16)
, August, pp.
1918
24
.
12.
Stoer, J., and Bulirsch, R., 2002. Introduction to numerical analysis, third ed., Vol. 12 of Texts in Applied Mathematics. Springer-Verlag, New York. Translated from the German by R. Bartels, W. Gautschi and C. Witzgall.
13.
George, A., and Liu, J. W. H., 1981. Computer solution of large sparse positive definite systems. Prentice-Hall Inc., Englewood Cliffs, N.J. Prentice-Hall Series in Computational Mathematics.
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