Kendali Heading pada Trajectory Tracking Miniatur Robot Mobil

https://doi.org/10.22146/juliet.v1i2.59347

Farid Hasan(1), Budi Bayu Murti(2), Fahmizal .(3*), Muhammad Arrofiq(4)

(1) Department of Electrical Engineering and Informatics, Vocational College Universitas Gadjah Mada
(2) Department of Electrical Engineering and Informatics, Vocational College Universitas Gadjah Mada
(3) Department of Electrical Engineering and Informatics, Vocational College Universitas Gadjah Mada
(4) Department of Electrical Engineering and Informatics, Vocational College Universitas Gadjah Mada
(*) Corresponding Author

Abstract


Abstract – This paper presents heading controls on trajectory tracking using compass sensors and global positioning sensors (GPS) on miniature robot cars. The problem that arises when the miniature robot car follows the track is the slip on the wheels. Therefore it raises heading errors that can be obtained from the compass sensor and GPS. To minimize the problems that occur, the proportional integral derivative control (PID) is applied to control the miniature headings of car robots by using the Ziegler Nichols 2nd method. In the process of finding the parameters of the PID control obtained with the results Kp = 0.6; Ti = 2.5; and Td = 0.625. Furthermore, the application of the Haversine method is used to calculate the shortest distance between two points during the process of reading the position from GPS. From the test results obtained that the PID control and Haversine method are able to make the movement of a miniature robot car successfully following the test trajectory.

Keywords: Heading Control, Trajectory Tracking, Compass Sensor, GPS.

Intisari – Makalah ini menyajikan kendali heading pada trajectory tracking menggunakan sensor kompas dan global positioning sensor (GPS) pada miniatur robot mobil. Permasalahan yang timbul ketika miniatur robot mobil mengikuti lintasan ialah terjadinya slip pada roda. Oleh sebab itu menimbulkan kesalahan heading yang dapat diperoleh dari sensor kompas dan pembacaan posisi dari GPS pada miniatur robot mobil tersebut. Untuk meminimalisir permasalahan yang terjadi, kendali proporsional integral derivatif (PID) diterapkan untuk mengendalikan heading miniatur robot mobil dengan menggunakan metode ke-2 Ziegler Nichols. Dalam proses pencarian parameter dari kendali PID ini diperoleh dengan hasil Kp=0.6; Ti=2.5; dan Td=0.625. Selanjutnya, penerapan metode Haversine digunakan untuk menghitung jarak terpendek antara dua titik lintasan saat proses pembacaan posisi dari GPS. Dari hasil pengujian diperoleh bahwa kendali PID dan metode Haversine mampu membuat pergerakan miniatur robot mobil sukses mengikuti lintasan uji.

Kata kunci: Kendali Heading, Trajectory Tracking, Kendali PID, Sensor Kompas, GPS.

 


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References

[1] Bagloee, S. A., Tavana, M., Asadi, M., & Oliver, T., Autonomous vehicles: challenges, opportunities, and future implications for transportation policies, Journal of modern transportation, vol.24(4), p.p. 284-303, 2016.

[2] Prakoso, R., Pangaribuan, P., & Wibowo, A. S., Perancangan sistem kendali mobile robot dengan GPS menggunakan metode PID, eProceedings of Engineering, vol. 5(3), 2018.

[3] Khan, S., Ahmad, K., Murad, M., & Khan, I., Waypoint navigation system implementation via a mobile robot using Global Positioning System (GPS) and Global System for Mobile Communications (GSM) modems, International Journal of Computational Engineering Research (IJCER),2013.

[4] Bojarski, M., Del Testa, D., Dworakowski, D., Firner, B., Flepp, B., Goyal, P., & Zhang, X., End to End Learning for Self-Driving Cars, arXiv preprint, arXiv:1604.07316, 2016.

[5] Maślak, W., & Butkiewicz, B. S., Autonomous vehicle with fuzzy control, In Signal Processing Symposium (SPS), IEEE, p.p.1-6, 2013.

[6] Hunt, K. H., Kinematic Geometry of Mechanisms, Oxford University Press, USA, 1978, vol. 7. [7] Angeles, J., Fundamentals of Robotic Mechanical Systems, New York: Springer-Verlag, 2002, Vol. 2.

[8] Fahmizal, Murti, B. B., Pratama, D. B., & Mayub, Kendali logika fuzzy pada Car Like Mobile Robot (CLMR) penjejak garis, ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika, vol.6(3), p.451, 2018.

[9] Yulianto, R., & Kridalaksana, A. H., Penerapan formula Haversine pada Sistem Informasi Geografis pencarian jarak terdekat lokasi lapangan futsal, Jurnal Ilmiah Ilmu Komputer, vol. 13(1), p.p.14-21, 2018.

[10] Ogata, K., Modern Control Engineering, Upper Saddle River, p.p. 6142-6143, Prentice Hall, NJ, 2009.



DOI: https://doi.org/10.22146/juliet.v1i2.59347

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