A Helmet Cueing System Based Firing Control for Anti-Aircraft Gun Prototype

Authors

  • Solomon Ayalew Mekonnen Addis Ababa Science and Technology University, Addis Ababa, Ethiopia
  • M.B. Asrat Artificial Intelligence and Robotics Centre of Excellence, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia
  • S. Ramasamy Artificial Intelligence and Robotics Centre of Excellence, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia

Abstract

In this research work, a firing control system is developed for the ZU-23-2 Russian anti aircraft gun prototype by integrating an image processor with helmet mounted cueing system. The combined action of the image processor and inertial measuring unit, which is mounted on operators helmet used here to generate actuation command for the motors. Actuators used in this research are two stepper motors for azimuth and elevation motion of the weapon; both are controlled by a PI controller. The overall proposed systems are deployed in the prototype hardware and tested with an experiment by varying the target range and the PI controller parameters. Finally, results show an improvement in performance in terms of speed (1.75 sec) and approximately a 82% accuracy of detection as well as in tracking by applying background subtraction in frame deference algorithm. In addition, the deployed stepper motor gives a response time of 0.005 sec for every change in position of the gunner head with 95% accuracy in input waveform tracking.

Author Biographies

Solomon Ayalew Mekonnen, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia

assistant lecturrer at Department of Mechatronics Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia

M.B. Asrat, Artificial Intelligence and Robotics Centre of Excellence, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia

Artificial Intelligence and Robotics Centre of Excellence, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia

S. Ramasamy, Artificial Intelligence and Robotics Centre of Excellence, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia

Artificial Intelligence and Robotics Centre of Excellence, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia

References

CARTER, G.L. Gun Control in the United States: A Reference Handbook. Santa Barbara: ABC-CLIO, 2006. ISBN 978-1-85-109760-9.

SINGH, H., S.S. SAINI, N. KUMAR and V. KARAR. Performance Comparison: Optical and Magnetic Head Tracking. International Journal of IT, Engineering and Applied Sciences Research, 2013, 2(3), pp. 27-32. ISSN 2319-4413.

RASH, C.E. (ed.). Helmet-Mounted Displays: Sensation, Perception and Cognitive Issues. Fort Rucker: U.S. Army Aeromedical Research Laboratory, 2009. ISBN 978-0-61-528375-3. KORAN, F., A. KNIZEK and M. BURIAN. Present Vehicle Line No.6: Gaz-66 Variants in Detail. Wings & Wheels Publications, 2002. ISBN 978-8-08-641620-5.

KORAN, F., A. KNIZEK and M. BURIAN. Present Vehicle Line No.6: Gaz-66 Variants in Detail. Wings & Wheels Publications, 2002. ISBN 978-8-08-641620-5.

KUCUK, S. and Z. BINGUL. Robot Kinematics: Forward and Inverse Kinematics. In: CUBERO, S. ed. Industrial Robotics: Theory, Modelling and Control. Augs-burg: Pro Literatur Verlag, 2006, pp. 117-148. ISBN 3-86611-285-8.

RASH, C.E., W.E. McLEAN, J.C. MORA, M.H. LEDFORD and B.T. MOZO. De-sign Issues for Helmet-Mounted Display Systems for Rotary-Wing Aviation [online]. Defense Technical Information Center, 1998. [viewed 2019-12-16]. Available from: https://www.usaarl.army.mil/TechReports/98-32.PDF

IQBAL, J., A. UL HAQ and S. WALI. Moving Target Detection and Tracking. Saarbrücken: LAP LAMBERT Academic Publishing, 2015. ISBN 978-3-659-69832-3.

BALAJI, S.R. and S. KARTHIKEYAN. A Survey on Moving Object Tracking Using Image Processing. In: Proceedings of the 11th International Conference on Intelli-gent Systems and Control (ISCO). Coimbatore: IEEE, 2017, pp. 469-474. DOI 10.1109/ISCO.2017.7856037.

PATHAN, I. and C. CHAUHAN. A Survey on Moving Object Detection and Track-ing Methods. International Journal of Computer Science and Information Tech-nologies, 2015, 6(6), pp. 5212-5215. ISSN 0975-9646.

BALA, R. and K.M. BRAUN. Color-to-Grayscale Conversion to Maintain Dis-criminability. In: Proceedings of the SPIE 5293, Color Imaging IX: Processing, Hardcopy, and Applications. San Jose, 2003. DOI 10.1117/12.532192.

SARAVANAN, C. Color Image to Grayscale Image Conversion. In: Proceedings of the International Conference on Computer Engineering and Applications. Bali Island: IEEE, 2010, pp. 196-199. DOI 10.1109/ICCEA.2010.192.

ZHANG, Y, X. WANG and B. QU. Three-Frame Difference Algorithm Research Based on Mathematical Morphology. Procedia Engineering, 2012, 29, pp. 2705-2709. DOI 10.1016/j.proeng.2012.01.376.

>HUSSAIN, Z., A. NAAZ and N. UDDIN. Moving Object Detection Based on Back-ground Subtraction and Frame Differencing Technique. International Journal of Advanced Research in Computer and Communication Engineering, 2016, 5(5), pp. 817-819. DOI 10.17148/IJARCCE.2016.55200.

PARIDA, S., W.P. WACHS and M.E. CABRERA. Dynamic Surgical Tool Tracking and Delivery System Using Baxter Robot. In: Proceedings of the Summer Under-graduate Research Fellowship (SURF) Symposium. West Lafayette, 2014, paper 51.

CHAUHAN, B.S., M. SINGH, V.K. SHARMA and P.C. PANDEY. Auto-Video Tracking System: Performance Evaluation. Defence Science Journal, 2008, 58(4), p. 565-572. DOI 10.14429/dsj.58.1678.

MINGQIANG, Y., K. KIDIYO, and R. JOSEPH. A Survey of Shape Feature Extrac-tion Techniques. In: YIN, P.-Y. ed. Pattern Recognition Techniques, Technology and Applications. InTech, 2008, pp. 43-90. ISBN 978-953-7619-24-4.

RAHMAT, M.S., K. HUDHA, A.M. IDRIS and N.H. AMER. Sliding Mode Control of Target Tracking System for Two Degrees of Freedom Gun Turret Model. Ad-vances in Military Technology, 2016, 11(1), pp. 13-28. DOI 10.3849/aimt.01087.

KUSWADI, S., N.M. TAMARA and H.W. DWI NUGROHO. Gun Turret Automatic Weapon Control System Design and Realization. In: Proceeding of the 2016 In-ternational Symposium on Electronics and Smart Devices (ISESD). Bandung: IEEE, 2016. DOI 10.1109/ISESD.2016.7886687.

MUSLIM, M.A., D. MINGGU, J. SAPUTRA and R.N. HASANAH. Comparison Analysis between Fuzzy and Fuzzified-Pid Methods on Gun-Barrel Motion Con-trol. Journal of Engineering and Applied Sciences, 2015, 10(20), pp. 9765-9771. ISSN 1819-6608.

SIQQI, M.S., D.S. PURNOMO and I.A. SULISTIJONO. Coil-gun Turret Control System by Using Digital Compass on Helmet. EEPIS Final Project [online]. [viewed 2019-11-02]. Available from: https://core.ac.uk/download/pdf/12344379.pdf

SAPUTRA, J., R.N. HASANAH and M.A. MUSLIM. Target Tracking of the S-60 Single-Barrel 57mm Anti-Aircraft Gun System Using Hybrid Control Method. Journal of Engineering and Applied Sciences, 2015, 10(19) pp. 9071-9077. ISSN 1819-6608.

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Published

2021-02-26

How to Cite

Mekonnen, S. A., Asrat, M., & Ramasamy, S. (2021). A Helmet Cueing System Based Firing Control for Anti-Aircraft Gun Prototype . Advances in Military Technology, 16(1), 19–33. Retrieved from http://aimt.cz/index.php/aimt/article/view/1364

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Research Paper