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The time domain representation of the transfer function. 20 25 30 TIME 'HRS; 45 Fig. 5b I. 0~~ LOCATION 15 LAGS 31 BY Data Analysis . 50 HRS 0. ö~ The measured input/output data was used to develop a parametric model of the form shown in equation 1. , b-, c. and d-j . Successive investigations revealed that a third order model adequately represents the relationship between the combustion air flow rate and the glass temperature. The identified model has the form 2 0. ύ " >- Λ — x υΩ· *i or. 0. 477z~ 3 \ CJ o & 0) -P A model of this form would be very useful, since the glass temperature variations could be detected at the inlet to zone 1 and subsequently used to carry out feed forward control by altering the combustion air flow rate.
There must be an easy to handle interfacing for measurement aids which requires no specialists or special training. The programming of the test task must be done with the words of the test personal even while testing. In order to get an inexpensive solu tion of the aspects mentioned above the system can be based on standard microcomputer systems or desk top computers as the nucleus of the test system. The considerations of the basic diffe rences of these two systems have re sulted in an decision for microcompu ter based systems.
The two subsequent temperature fluctuations, observed at locations 51 and 52, fig. 3c and fig. 3b respectively were due to changes in the set point at approximately 280 and 290 hours. It can be seen that the conditioning process can smooth out all but large upstream fluctuations in the glass surface temperature* The disturbances in the glass temperature at the bottom of the channel are not completely smoothed out to the same degree. Further correlation studies have been carried out, using the normal operating data, to investigate the behaviour of the heat transfer through the forehearth channel and insulation.