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Online proceedings - EDA Publishing Association

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As the speed of the rotor increases, the frequency of the<br />

second set of coil increases as well. This second set of coil<br />

produced a voltage, high enough to enable the circuit to<br />

measure the rotor’s speed without an external amplifier or<br />

buffer, and without supplying any power to the signal..<br />

Therefore, the system is able to accurately measure the<br />

whole required range of frequency efficiently.<br />

This signal was compared with a hall sensor and it was<br />

ensured that the frequency of the AC signal generated by the<br />

second set of coil matches exactly the signal generated by<br />

the hall sensor, which is a commonly used method to<br />

measure the rotational speed of commercial flow meters.<br />

The circuit that measures this frequency was simulated<br />

using PC simulation software from Proteus Company. ISIS<br />

software was used to simulate the circuit as shown in figure<br />

10. The upper part of the figure is a simulation of the<br />

seven-segment display that SPPFM measuring system uses<br />

and the bottom part is a Virtual Signal Generator (VSG).<br />

This allows the unit to simulate the frequency generated by<br />

SPPFM, and so giving evidence of the accuracy of the<br />

measurement. In this study, the SPPFM is configured to<br />

update its value every five seconds. The unit of measurement<br />

shown on the display is in Hz. Therefore, this is 54Hz<br />

generated by the VSG and the same value is shown on the<br />

seven-segment display.<br />

The MCU that SPPFM uses has an accuracy of ± 3% of<br />

nominal frequency. This accuracy can only be achieved at<br />

voltage between 2.7 and 5.5 VDC and room temperatures of<br />

25ºC. For application under higher or lower temperatures,<br />

calibration could be executed to compensate and achieve<br />

higher precision.<br />

11-13 <br />

May 2011, Aix-en-Provence, France<br />

<br />

Fig.11 Different flow rates measurement before calibration<br />

. EXPERIMENTAL RESULTS<br />

The electric power generated under different flow<br />

conditions is presented in Table 1 and plotted in Fig. 12 and<br />

Fig. 13.<br />

Table 1 Electricity from the pipe flow generator<br />

Fig. 10 ISIS software simulation for SPPFM measuring system (Hz)<br />

Contrary to Mini-Wheel W-116, which according to its<br />

data-sheet, has ± 5% of the nominal frequency. In order<br />

to calibrate SPPFM, data samples between SPPFM and<br />

W-116 were taken to obtain the relationship between Hz<br />

and the flow rate (L/min). The output of the SPPFM<br />

shows a linear relationship between the speed of the flow<br />

and the frequency of the signal. Similar conclusion was<br />

drawn between the speed of the flow and the flow rate, for<br />

Mini-Wheel W-116. The relationships are shown in figure<br />

11. Such direct linear relationship between the two<br />

systems allowed the SPPFM to be calibrated to give a<br />

very close approximation to the Mini-Wheel W-116 unit<br />

of measurement.<br />

Fig. 12 Power and voltage vs. flow rate (18 mm pipe)<br />

Fig.13 Power and voltage vs. water velocity (18 mm pipe)<br />

155

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