Control of Deposited Zinc in Hot Dip Gal


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8.7.3 Model Identification

The plant is formed by the air pressure control loop and the coating process. The control input to the process is the reference of the air pressure control loop, the output of the process is the measured deposited mass per unit area (see Figure 8.48). The identification of the discrete time model of the plant has been done by superposing a PRBS to the reference for the pressure loop, as illustrated in Figure 8.48.


368 Digital Control Systems



PRBS (±∆P)
P0 + PRESSURE + CONTROLLER

PRESSURIZED GAS SUPPLY


COATING PROCESS



m ± ∆m
MEASURE DELAY


Figure 8.48. Block diagram of the identified plant (input: ∆p, output: ∆m)

The input used was a PRBS (Pseudo Random Binary Sequence) of a magnitude of ±4% with respect to the static pressure (Po). The PRBS was generated by a shift register with N = 5 cells and a clock frequency equal to half of the sampling frequency (length of the sequence: 64); 100 to 160 (average: 128) measurements have been used for the various identifications made in different regions of operation. The choice made for the PRBS allowed at least one full sequence to be sent for each experiment and yielded the largest pulse width (10 Ts) comparable with the rise time of the process (including the time delay). As both sides of the steel strip have to be galvanized, and because of the non symmetric position and physical realization of the two actuators, both “front” side and “back” side models have been identified. Data acquisition has been done using over sampling as indicated in Chapter 7, Section 7.1.3.
A comparative study has shown that for this application the output error identification method gives the best results in terms of model validation.
The identification of the process model around various operating points, defined by the strip speed and the distance between the air knives and steel strip, has shown a significant variability of the identified parameters. This has imposed the use of an “open loop adaptive control” in order to assure good performance in all operating points.

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