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Development of An Improved Controller for Enhancing the Performance of Unmanned Aerial Vehicle

Oguanya Kenneth I Eneh Innocent I Ene Princewill Chigozie

Subject area: Science,Engineering and Technology  ·  Area of research: Engineering

Abstract

In this work, an improvement was made tothe altitude control of a quadcopter by effectively turning the PID controller of a nonlinear model of a quadcopter. The result of the characterization of a nonlinear controller gave a peak overshoot that rapidly settled into a stable state. Although this outcome was better in performance than those of linear controllers. An effort was further made to considerably reduce the overshoot observed by the controller by using a linear modelled controller to tune the parameters of the PID controller for altitude control in the nonlinear model and adjusting the model airframe mass by multiplying it through the controller take-off gain. In the experiment done in this work, the maximum height reached by the drone was 3.29m. The median height was 1.5m. The overshoot was taken from the median and it was 1.79m. After enhancing the thrust control of the quadcopter through linearization, the overshoot obtained was 0.0016m.

Keywords

Enhanced, Performance, Overshoot, Unmanned-aerial-vehicle, Non-linear, Controller

References

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[2] Bappy, A. M. R. A., Asfak-Ur-Rafi, M. D., Islam, M. D. S., Sajjad, A., Imran, K. N., & Saha, P. K. (2015). Design and Development of Unmanned Aerial Vehicles (Drones) for Civil Applications. Electrical & Electronic Engineering, Bachelor o.

[3] Benic, Z., Piljek, P., & Kotarski, D. (2016). Mathematical Modelling of Unmanned Aerial Vehicles with Four Rotors. Interdisciplinary Description of Complex Systems, 14(1), 88–100. https://doi.org/10.7906/indecs.14.1.9

[4] Cedro, L., & Wieczorkowski, K. (2019). ScienceDirect Optimizing PID controller gains model the performance of Optimizing PID controller gains to model the performance of a quadcopter. Transportation Research Procedia, 40, 156–169. https://doi.org/10.1016/j.trpro.2019.07.026

[5] Emran, B. J., Dias, J., Seneviratne, L., & Cai, G. (2015). Robust Adaptive Control Design for Quadcopter Payload Add and Drop Applications. 3252–3257.

[6] Jiang, F., & Pourpanah, F. (2019). Design, Implementation and Evaluation of a Neural Network-Based Quadcopter UAV System. IEEE Transactions on Industrial Electronics, PP(c), 1. https://doi.org/10.1109/TIE.2019.2905808

[7] Kramar, V., Kabanov, A., & Dudnikov, S. (2021). A mathematical model for a conceptual design and analyses of UAV stabilization systems. Fluids, 6(5). https://doi.org/10.3390/fluids6050172

[8] Nemati, A., & Kumar, M. (2014). Modelling and Control of a Single Axis Tilting Quadcopter. 2014 American Control Conference, 3077–3082. https://doi.org/10.1109/ACC.2014.6859328

[9] Nguyen, H. T., Quyen, T. V, Nguyen, C. V, Le, A. M., Tran, H. T., & Minh, T. (2020). EAI Endorsed Transactions Control Algorithms for UAVs : A Comprehensive Survey. 7(23), 1–11. https://doi.org/10.4108/eai.18-5-2020.164586

[10] Vachtsevanos, G., Antsaklis, P., & Valavanis, K. P. (2007). Modelling and control of unmanned aerial vehicles: Current status and future directions. Modelling and Control of Complex Systems, 277–296.

[11] Zakriti, A. (2019). ScienceDirect ScienceDirect ScienceDirect ScienceDirect Modeling Modeling of a Quadcopter Quadcopter Trajectory Trajectory Tracking Tracking System System Using Using PID PID Costing models for capacity optimization in Industry 4 . 0 : Trade-off. Procedia Manufacturing, 32, 564–571. https://doi.org/10.1016/j.promfg.2019.02.253

How to cite this paper

Oguanya Kenneth I, Eneh Innocent I, Ene Princewill Chigozie "Development of An Improved Controller for Enhancing the Performance of Unmanned Aerial Vehicle" Iconic Research And Engineering Journals Volume 6 Issue 9 2023 Page 200-206
Oguanya Kenneth I, Eneh Innocent I, Ene Princewill Chigozie "Development of An Improved Controller for Enhancing the Performance of Unmanned Aerial Vehicle" Iconic Research And Engineering Journals, vol. 6, no. 9, Mar. 2023
Oguanya Kenneth I, Eneh Innocent I, Ene Princewill Chigozie (2023). Development of An Improved Controller for Enhancing the Performance of Unmanned Aerial Vehicle. Iconic Research And Engineering Journals, 6(9).
Oguanya Kenneth I, Eneh Innocent I, Ene Princewill Chigozie "Development of An Improved Controller for Enhancing the Performance of Unmanned Aerial Vehicle" Iconic Research And Engineering Journals, vol. 6, no. 9, Mar. 2023.
@article{1704145,
      author = {Oguanya Kenneth I, Eneh Innocent I, Ene Princewill Chigozie},
      title = {Development of An Improved Controller for Enhancing the Performance of Unmanned Aerial Vehicle},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {6},
      number = {9},
      pages = {200-206},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1704145.pdf},
      abstract = {In this work, an improvement was made tothe altitude control of a quadcopter by effectively turning the PID controller of a nonlinear model of a quadcopter. The result of the characterization of a nonlinear controller gave a peak overshoot that rapidly settled into a stable state. Although this outcome was better in performance than those of linear controllers. An effort was further made to considerably reduce the overshoot observed by the controller by using a linear modelled controller to tune the parameters of the PID controller for altitude control in the nonlinear model and adjusting the model airframe mass by multiplying it through the controller take-off gain. In the experiment done in this work, the maximum height reached by the drone was 3.29m. The median height was 1.5m. The overshoot was taken from the median and it was 1.79m. After enhancing the thrust control of the quadcopter through linearization, the overshoot obtained was 0.0016m.},
      keywords = {Enhanced, Performance, Overshoot, Unmanned-aerial-vehicle, Non-linear, Controller},
      month = {March},
  }