Design and implementation of tracking system based on image processing

  • Authors

    • Hassan Falah Fakhruldeen
    • Ibrahim H. Al-Kharsan
    2017-11-10
    https://doi.org/10.14419/ijet.v8i4.29825
  • VSSP, Sun Tracking System, Proportional Controller, Image Processing.

  • Abstract

    A novel Variable Step Size Proportional algorithm (VSSP) has used for the sun-tracking system. The proposed algorithm does not require any feedback, and it can track the sun accurately even when there are obstacles around. Image processing techniques have been used to estimate the location of the sun, hence controlling the motors in each axis. A microcontroller board has been used to exchange data between the Matlab software, where the algorithm has written, and the peripherals. The system has offered an excellent ability to track the center of the sun in 15 iterations with 97% accuracy. The accuracy has been improved even more after 24 iterations to become 98.7%. Tracking the intensity of light is the most powerful prosperity of this algorithm that makes it able to track the sun even if it is out of the camera range. It does not require any complex processing or special sensors. The proportional controller is the base of this algorithm.

     

     


     

  • References

    1. [1] Soteris A. Kalogirou,"Solar Energy Engineering Processes and Systems", Elsevier, 2014.

      [2] Asmarashid Ponniran1, Ammar Hashim, and Ariffuddin Jore,''Design of Low Power Single Axis Solar Tracking System Regardless of Motor Speed'', International Journal of Integrated Engineering, Vol. 3 No. 3 (2011)

      [3] Midriem Mirdanies and Roni Permana Saputra,"Dual-axis Solar Tracking System",2016

      [4] Zhou Shuiliang, Ding Weijie, Zhu Xuemei and Tian Jun," A New Method to Judge Clouds Covering Based on Particle Filter", IEEE, 2016. https://doi.org/10.1109/CCDC.2016.7532080.

      [5] Kok-Keong Chong and Chee-Woon Wong,"Open-Loop Azimuth-Elevation Sun-Tracking System Using On-Axis General Sun-Tracking Formula for Achieving Tracking Accuracy of Below 1 Mrad", IEEE, 2010. https://doi.org/10.1109/PVSC.2010.5614088.

      [6] Dongsheng Cai, Ting Xie, Qi Huang and Jian Li, "Short-term Solar Photovoltaic Irradiation Predicting Using a Nonlinear Prediction Method", IEEE, 2014.

      [7] Asanka S. Rodrigo, K. H. E. Perera, H. M. S. Priyadharshana, V. G. C. Priyanka and R. A. R. A. Ranasinghe, ''Cloud Images Capturing System for Solar Power Level Prediction'', IEEE,2015. https://doi.org/10.1109/MERCon.2015.7112363.

      [8] M. Emre Celebi, Michela Lecca and Bogdan Smolka,''Color Image and Video Enhancement'', Springer ,2015. https://doi.org/10.1007/978-3-319-09363-5.

      [9] Chris Solomon and Toby Breckon,''Fundamentals of Digital Image Processing'', John Wiley & Sons, Ltd, 2011. https://doi.org/10.1002/9780470689776.

      [10] Oge Marques,"Practical Image and Video Processing Using Matlab", IEEE, 2011. https://doi.org/10.1002/9781118093467.

      [11] LiupingWang, Shan Chai, Dae Yoo, Lu Gan and Ki Ng," PID and Predictive Control of Electrical Drives and Power Converters Using Matlab/Simulink", IEEE, 2015. https://doi.org/10.1002/9781118339459.

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  • How to Cite

    Falah Fakhruldeen, H., & H. Al-Kharsan, I. (2017). Design and implementation of tracking system based on image processing. International Journal of Engineering & Technology, 6(3), 105-108. https://doi.org/10.14419/ijet.v8i4.29825

    Received date: 2019-09-05

    Accepted date: 2019-09-13

    Published date: 2017-11-10