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A New Optimal Control Design Framework and Stabilization of a Gimbal Payload System Using Meta-heuristic Algorithm

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Abstract

Designing effective PID controllers for gimbal payload systems (GPS) in naval applications poses inherent challenges due to the dynamic nature of these systems. The gimbal system requires precise control to stabilize its line of sight (LOS) for accurate target tracking in electro-optical systems. Conventional PID controllers often struggle to address the complex dynamics and nonlinearities inherent in gimbal systems, resulting in suboptimal performance. Therefore, in this study, we introduce a novel control design framework for the gimbal payload system (GPS) employed in naval applications. A more effective PID controller is developed by utilizing the hunting mechanism of the antlion optimization technique. This controller precisely manages and stabilizes the LOS of the GPS, ensuring seamless target tracking in electro-optical systems. Furthermore, we assess the robustness of the proposed controller by varying system parameters, including moment of inertia (± 20%) and motor resistance (+ 10%). The results demonstrate robust target tracking even in the presence of changes within the system. Additionally, the gimbal system exhibits zero overshoot, and the achieved high values of gain and phase margins outperform other techniques such as genetic algorithm, particle swarm optimization, and classical methods.

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References

  1. Masten, M. K. (2008). Inertially stabilized platforms for optical imaging systems. IEEE Control Systems Magazine, 28(1), 47–64.

    Article  MathSciNet  Google Scholar 

  2. Miller, R., Mooty, G., & Hilkert, J. M. (2013). Gimbal system configurations and line-of-sight control techniques for small UAV applications. Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications X, 8713, 871308.

    Article  Google Scholar 

  3. Basilio, J. C., & Matos, S. R. (2002). Design of PI and PID controllers with transient performance specification. IEEE Transactions on Education, 45(4), 364–370.

    Article  Google Scholar 

  4. Alcántara, S., Vilanova, R., & Pedret, C. (2013). PID control in terms of robustness/performance and servo/regulator trade-offs: A unifying approach to balanced autotuning. Journal of Process Control, 23(4), 527–542.

    Article  Google Scholar 

  5. Roshdy, A. A., Su, C., Mokbel, H. F., & Wang, T. (2012). Design a robust PI controller for line of sight stabilization system. International Journal of Modern Engineering Research, 2(2), 144–148.

    Google Scholar 

  6. Habashi, A., Ashry, M. M., Mabrouk, M. H., & Elnashar, G. A. (2015). Controller design for line of sight stabilization system. International Journal of Engineering Research and Technology, 4(11), 650–658.

    Google Scholar 

  7. Rajesh, R. J., & Kavitha, P. (2015). ‘Camera gimbal stabilization using conventional PID controller and evolutionary algorithms’, In: 2015 IEEE International Conference on Computer, Communication and Control, pp. 1-6.

  8. Baskin, M., & Leblebicioğlu, M. K. (2017). Robust control for line-of-sight stabilization of a two-axis gimbal system. Turkish Journal of Electrical Engineering & Computer Sciences, 25(5), 3839–3853.

    Article  Google Scholar 

  9. Aggarwal, S., Joshi, A., & Kamal, S. (2017). ‘Line of sight stabilization of two-dimensional gimbal platform’, In 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), pp. 2553-2558.

  10. Koh, E., Lee, J., Park, J., Lim, J., & Kim, D. (2019). Gimbal tracking control with delayed feedback of target information. Journal of Electrical Engineering & Technology, 14(4), 1723–1731.

    Article  Google Scholar 

  11. Huynh, T., & Kim, Y. B. (2021). A study on gimbal motion control system design based on super-twisting control method. Journal of the Korean Society for Precision Engineering, 38(2), 115–122.

    Article  Google Scholar 

  12. Mirjalili, S. (2015). The ant lion optimizer. Advances in Engineering Software, 83, 80–98.

    Article  Google Scholar 

  13. Cong Danh, N. (2021). The stability of a two-axis gimbal system for the camera. The Scientific World Journal, 2021, 1–8.

    Article  Google Scholar 

  14. Zhuang, M., & Atherton, D. P. (1993). Automatic tuning of optimum PID controllers. IEE Proceedings D (Control Theory and Applications), 140(3), 216–224.

    Article  Google Scholar 

  15. Rahimi, K., & Famouri, P. (2014). ‘Assessment of Automatic Generation Control performance index criteria’, In 2014 IEEE PES T &D Conference and Exposition, pp. 1-5.

  16. Zhuang, Guangming, Xia, Jianwei, Feng, Jun-e, Wang, Yanqian, & Chen, Guoliang. (2023). Dynamic compensator design and H-infi admissibilization for delayed singular jump systems via Moore-Penrose generalized inversion technique. Nonlinear Analysis: Hybrid Systems, 49, 101361.

    Google Scholar 

  17. Li, Z., Zhang, Z.-H., Wang, J.-S., Wang, K.-T., Guo, X.-Q., Fan, D.-H., & Sun, H.-X. (2023). Compensator design of permanent magnet synchronous linear motor control system based on load disturbance observer. Journal of Electrical Engineering & Technology, 18, 1–12.

    Article  Google Scholar 

  18. Bai, Y., & Wang, D. (2011). Dynamic modelling of the laser tracking gimbal used in a laser tracking system. International Journal of Modelling, Identification and Control, 12(1/2), 149–159.

    Article  Google Scholar 

  19. Abro, G. E. M., Bin Mohd Zulkifli, S. A., & Asirvadam, V. S. (2023). Dual-loop single dimension fuzzy-based sliding mode control design for robust tracking of an underactuated quadrotor craft. Asian Journal of Control, 25(1), 144–169.

    Article  Google Scholar 

  20. Abro, G. E. M., Zulkifli, S. A. B. M., Ali, Z. A., Asirvadam, V. S., & Chowdhry, B. S. (2022). Fuzzy based backstepping control design for stabilizing an underactuated quadrotor craft under unmodelled dynamic factors. Electronics, 11(7), 999.

    Article  Google Scholar 

  21. Abro, G. E. M., Zulkifli, S. A. B. M., Asirvadam, V. S., & Ali, Z. A. (2021). Model-free-based single-dimension fuzzy SMC design for underactuated quadrotor UAV. Actuators, 10(8), 191.

    Article  Google Scholar 

  22. Mustafa Abro, G. E., Ali, Z. A., Zulkifli, S. A., & Asirvadam, V. S. (2021). Performance evaluation of different control methods for an underactuated quadrotor unmanned aerial vehicle (QUAV) with position estimator and disturbance observer. Mathematical Problems in Engineering, 2021, 1–22.

    Article  Google Scholar 

  23. Abro, G. E., Zulkifli, S. A., & Asirvadam, V. S. (2021). ’Performance evaluation of Newton Euler & quaternion mathematics-based dynamic models for an underactuated quadrotor UAV.’ In 2021 11th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), IEEE, pp. 142-147.

  24. Saini, P., & Thakur, P. (2022). H-infinity based robust temperature controller design for a non-linear systems. Wireless Personal Communications, 126(1), 305–333.

    Article  Google Scholar 

  25. Sikander, A., Dheeraj, Ajay, Chatterjee, A., & Ahamad, N. (2022). Control design approach for improved voltage stability in microgrid energy storage system. Microsystem Technologies, 28(12), 2821–2828.

    Article  Google Scholar 

  26. Samir, M., Singh, G., & Ahamad, Nafees. (2022). Tilt integral derivative controller optimized by battle royale optimization for wind generator connected to grid. Indonesian Journal of Electrical Engineering and Informatics (IJEEI), 10(2), 302–316.

    Article  Google Scholar 

  27. Chhetri, A., Ahamad, N., & Saklani, M., (2024). ’Review on controlling of BLDC motor via optimization techniques for renewable energy applications’, In Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things, CRC Press, pp. 129-143.

  28. Ahamad, N., Singh, G., Khan, S., & Sikander, A. (2017). ’Design and performance analysis of optimal reduced order H-infinity controller: L1 norm based genetic algorithm technique’, In 2017 International Conference on Power and Embedded Drive Control (ICPEDC), IEEE, pp. 8-13 .

  29. Uniyal, S., & Sikander, Afzal. (2018). A novel design technique for brushless DC motor in wireless medical applications. Wireless Personal Communications, 102, 369–381.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Electrical and Electronics and Communication Engineering, DIT University, Dehradun, Uttarakhand, 248001, India

    Nafees Ahamad & Pankaj Kumar Jha

  2. Department of Instrumentation and Control Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, 144011, India

    Afzal Sikander

Authors
  1. Nafees Ahamad
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  2. Afzal Sikander
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  3. Pankaj Kumar Jha
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Contributions

The authors confirm contribution to the paper as follows: Nafees Ahamad: Conceptualization, formal analysis, investigation, methodology, software, validation, visualization, writing—original draft. Afzal Sikander: Investigation, methodology, resources, software, supervision, validation, visualization, writing—original draft, writing—review and editing. Pankaj Kumar: Methodology, resources, software, visualization, writing—review and editing

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Correspondence to Afzal Sikander.

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Ahamad, N., Sikander, A. & Jha, P.K. A New Optimal Control Design Framework and Stabilization of a Gimbal Payload System Using Meta-heuristic Algorithm. Wireless Pers Commun 135, 899–917 (2024). https://doi.org/10.1007/s11277-024-11083-6

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