Design and fabrication of machine vision setup to avoid alignment failure in space launch vehicle
- 1. Design and Fabrication of Machine Vision Setup to avoid alignment failure in Space Launch Vehicle 1
- 2. LAUNCH VEHICLES OF ISRO Sounding Rocket SLV-3 ASLV PSLV GSLV-MkII GSLV-MkIII 2
- 3. GSLV-Mk III S 200 STRAP ON MOTORS 200 tons of propellant each. (100s of burning time) L110 STAGE C25 STAGE ENCAPSULATED ASSEMBLY PSLV 3
- 4. ✓In this project, it is planned to use machine vision technique to find alignment errors of space launch vehicle. ✓A system is proposed to inspect misalignment of the Space Launch vehicle along with its strap on boosters via machine vision system, which has many advantages over the traditional methods. 4
- 5. ✓It is planned to select India’s GSLV Mk- III Version of rocket with 2 strap-on boosters. ✓ Before executing the project it is decided to make a prototype model and conduct the experiments in it. ✓Then planned to choose suitable material and scale of prototype as per working convenience. 5
- 6. M5 screw Wood screw welded DETAIL- A M5 Nut fixing Location A M5 screw fixing Location PART- 4 PART- 4 1 PART-1 PART-3 DETAILED PART DRAWING OF GSLV Mk-3 LAUNCH VEHICLE PROTOTYPE PART-3 PART-4 MACHINING FINISH IN MICRONS ASSEMBLY CHAMFER 1mm x 45° REMOVE SHARP EDGES AND BURRS Adjustable Screw Joint ALL DIMENSION ARE IN MILLIMETERS UNLESS OTHERWISE SHOWN PART-2- 2Nos. PART-2 PART-1 DRG.No: PLAN ASK IF IN DOUBT ELEVATION PART-2 DO NOT SCALE THE DRAWING 7
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- 8. Test Setup Arrangement Capturing the image Boundary tracing Image analysis Result 12
- 9. 13 Set up For side View Set up for Front View Setup for Top View
- 10. 14 Front View Right side View Left side View Top View
- 11. •The initial pixel in higher contrast difference region is selected to start tracking the boundary. • The selected pixel is compared with neighbourhood pixels. • If the grayscale value of one of these eight pixels is higher than its concentration, then that pixel becomes the new boundary point. 15
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- 14. •It is possible to monitor the launch vehicle continuously after each and every operations. • Compared with the traditional methods, this method is fast and accurate. •It is a Non contact, online method to check alignment. •Future work in this research by a MATLAB based algorithm enabled image processing, the orientation of angle and misalignment of the Space Launch vehicle will be inspected much more perfectly. 18
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