What is claimed:
1. A device for regulating the flow rate andor the pressure of a fluid transferred from a high-pressure reservoir (H) to a reservoir (S), which comprises a first valve (1) provided with a control (2) mounted in a pipe (10, 11, 12) connecting the two reservoirs (H, S), a Laval nozzle (3) located downstream of the first valve (1) and provided with an electric pressure-drop sensor (4), a second valve (5) provided with a control (6) connected between the downstream part of the Laval nozzle and an exhaust orifice (R) and finally a micro-programmed system (7) designed to receive the values read by the pressure-drop sensor (4) and to drive the two controls (2, 6) of the two valves (1, 5) so as to regulate the flow rate andor the pressure of the fluid transferred from the first reservoir (H) to the second reservoir (S).
2. The device as claimed in claim 1, wherein said valves are solenoid seated valves and their control device (2, 6) is an electromechanical device.
3. The device as claimed in claim 1 or 2, wherein the fluid is a gas whose pressure is between 1 and 100 bar.
4. The use of the device as claimed in claim 3, which is used for managing three phases of blow-molding a hollow body made of a polymer such as PET:
preblowing during which the micro-programmed system regulates the flow of air towards the second reservoir (S) through a working orifice (A) by measuring the pressure drop at the terminals of the Laval nozzle (3) and by acting on the control of the first solenoid valve (1),
blow-molding during which the micro-programmed system (7) regulates the air pressure at the working orifice (A) connected to the second reservoir (S) based on the reading of the pressure at the terminals of the Laval nozzle (3) and by acting on the two controls (2, 6) of the solenoid valves (1, 5), and
expansion, during which the micro-programmed system gradually decreases the pressure between the working orifice (A) and the exhaust orifice (R) based on the reading of the pressure at the terminals of the Laval nozzle and by driving the electromechanical control (6) of the second solenoid valve (5).
5. The use as claimed in claim 4, wherein during the preblowing, the flow of air is synchronized with the movement of the stretch rod by reading the signal of the position of said stretch rod.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A system for determining the roll rate and roll angle of a spinning platform comprising:
a plurality of antennas for receiving GPS signals from at least one satellite, each antenna outputting an antenna signal for each received signal;
a GPS receiver processor for forming the navigation solution; and
a roll processor, for correlating each of the antenna signals separately, measuring the amplitude differences between the correlated signals from pairs of antennas, and processing the measured amplitude differences and navigation solution in a roll filter that outputs roll information, said roll filter including roll angle as a filter state variable.
2. The system of claim 1, wherein the plurality of antennas comprises at least two antennas.
3. The system of claim 1, wherein the plurality of antennas comprises at least three antennas.
4. The system of claim 1, wherein the roll filter includes a Kalman filter.
5. The system of claim 4, wherein the Kalman filter includes an Extended Kalman Filter.
6. The system of claim 3 wherein the pairs of antennas includes adjacent pairs of antennas.
7. The system of claim 6 wherein the adjacent pairs of antennas includes adjacent pairs of antennas that change with platform roll.
8. The system of claim 1 wherein the navigation solution is formed with the antenna signals.
9. The system of claim 1 wherein the navigation solution is formed with the antenna signals and data from a non-GPS measurement source.
10. The system of claim 1, wherein roll information includes roll angle.
11. The system of claim 1, wherein roll information includes roll rate.
12. The system of claim 1, wherein the roll filter employs a probabilistic data association (PDA) algorithm.
13. A system for determining the roll rate and roll angle of a spinning platform comprising:
a plurality of antennas for receiving GPS signals from at least one satellite, each antenna outputting an antenna signal for each received signal;
a GPS receiver processor for forming the navigation solution; and a
roll processor, for correlating each of the antenna signals separately, measuring the amplitude and phase differences between the correlated signals from pairs of antennas, and processing the measured amplitude and phase differences and navigation solution in a roll filter that outputs roll information, said roll filter including roll angle as a filter state variable.
14. The system of claim 13, wherein the plurality of antennas comprises at least two antennas.
15. The system of claim 13, wherein the plurality of antennas comprises at least three antennas.
16. The system of claim 13, wherein the roll filter includes a Kalman filter.
17. The system of claim 16, wherein the Kalman filter includes an Extended Kalman Filter.
18. The system of claim 15 wherein the pairs of antennas includes adjacent pairs of antennas.
19. The system of claim 18 wherein the adjacent pairs of antennas includes adjacent pairs of antennas that change with platform roll.
20. The system of claim 13 wherein the navigation solution is formed with the antenna signals.
21. The system of claim 13 wherein the navigation solution is formed with the antenna signals and data from a non-GPS measurement source.
22. The system of claim 13, wherein roll information includes roll angle.
23. The system of claim 13, wherein roll information includes roll rate.
24. The system of claim 13, wherein the roll filter employs a probabilistic data association (PDA) algorithm.
25. A method for determining the roll rate and roll angle of a spinning platform comprising the steps of
receiving GPS signals on a plurality of antennas from at least one satellite and outputting an antenna signal for each received signal;
forming the navigation solution;
correlating each of the antenna signals separately;
measuring amplitude differences between the correlated signals from pairs of antennas; and
processing the measured amplitude differences and navigation solution in a roll filter that outputs roll information, said roll filter including roll angle as a filter state variable.
26. The method of claim 25, wherein the plurality of antennas comprises at least two antennas.
27. The method of claim 25, wherein the plurality of antennas comprises at least three antennas.
28. The method of claim 25, wherein the roll filter includes a Kalman filter.
29. The method of claim 28, wherein the roll filter includes an Extended Kalman filter.
30. The method of claim 27 wherein the pairs of antennas includes adjacent pairs of antennas.
31. The method of claim 30 wherein the adjacent pairs of antennas includes adjacent pairs of antennas that change with platform roll.
32. The method of claim 25 wherein the navigation solution is formed with the GPS antenna signals.
33. The method of claim 25 wherein the navigation solution is formed with the GPS antenna signals and data from a non-GPS measurement source.
34. The method of claim 25, wherein the roll filter employs a probabilistic data association (PDA) algorithm.
35. A method for determining the roll rate and roll angle of a spinning platform comprising the steps of
receiving GPS signals on a plurality of antennas from at least one satellite and outputting an antenna signal for each received signal;
forming the navigation solution;
correlating each of the antenna signals separately;
measuring amplitude and phase differences between the correlated signals from pairs of antennas; and
processing the measured amplitude and phase differences and navigation solution in a roll filter that outputs roll information, said roll filter including roll angle as a filter state variable.
36. The method of claim 35, wherein the plurality of antennas comprises at least two antennas.
37. The method of claim 35, wherein the plurality of antennas comprises at least three antennas.
38. The method of claim 35, wherein the roll filter includes a Kalman filter.
39. The method of claim 38, wherein the roll filter includes an Extended Kalman filter.
40. The method of claim 37 wherein the pairs of antennas includes adjacent pairs of antennas.
41. The method of claim 40 wherein the adjacent pairs of antennas includes adjacent pairs of antennas that change with platform roll.
42. The method of claim 35 wherein the navigation solution is formed with the GPS antenna signals.
43. The method of claim 35 wherein the navigation solution is formed with the GPS antenna signals and data from a non-GPS measurement source.
44. The method of claim 35, wherein the roll filter employs a probabilistic data association (PDA) algorithm.