UAV (Unmanned Aerial Vehicle)
Kata Kunci:
Teknologi, UAVSinopsis
Buku berjudul UAV (Unmanned Aerial Vehicle) ini dirancang khusus untuk membantu pembaca dalam mengenalkan dan mempelajari teknologi UAV. Buku ini hadir dengan pendekatan yang unik, yakni memadukan landasan teori yang kuat dengan contoh-contoh penerapan praktis, sehingga pembaca dapat belajar secara lebih mendalam dan menyeluruh. Materi yang dimuat pada bahan ajar ini mencakup materi terkait Definisi, Perancangan, Kontrol PID (Proporsional Integral Derivatif), (Simultaneous Localization and Mapping) berbasis LIDAR (Light Detection and Ranging) pada UAV.
Dengan adanya buku ini di tangan pembaca, diharapkan dapat membantu pembaca untuk mengenal dan memahami tentang teknologi UAV, seperti perancangan dan konfigurasi sistem pada teknologi UAV.
Bab
-
KATA PENGANTAR
-
DAFTAR ISI
-
DAFTAR GAMBAR
-
01 PENGENALAN UAV
-
02 KOMPONEN-KOMPONEN UAV
-
03 RANCANG BANGUN UAV
-
04 SIMULTANEOUS LOCALIZATION AND MAPPING (SLAM)
-
05 RPLiDAR A1M8 – R6
-
06 PERANCANGAN SISTEM SIMULTANEOUS LOCALIZATION AND MAPPING (SLAM) BERBASIS LIGHT DETECTION AND RANGING (LiDAR)
-
07 KONTROL UAV QUADCOPTER
-
08 FIRMWARE QUADCOPTER
-
09 PEMBELAJARAN KONTROL QUADCOPTER
-
DAFTAR PUSTAKA
-
LAMPIRAN
-
PROFIL PENULIS
Downloads
Referensi
Alsadik, B., & Karam, S. (2021). The Simultaneous Localization and Mapping (SLAM)-An Overview. Journal of Applied Science and Technology Trends, 2(02), 147–158. https://doi.org/10.38094/jastt204117
Belge, E., Altan, A., & Hacıoğlu, R. (2022). Metaheuristic Optimization-Based Path Planning and Tracking of Quadcopter for Payload Hold-Release Mission. Electronics (Switzerland), 11(8). https://doi.org/10. 3390/electronics11081208
Bennett, S. (1993). Development of the PID Controller. IEEE Control Systems, 13(6), 58–62. https://doi.org/10.1109 /37.248006
Bogatov, N., Kostin, A., & Maiorov, N. (2021). Control and analysis of quadcopter flight when setting a complex trajectory of motion. Journal of Physics: Conference Series, 1925(1). https://doi.org/10.1088/ 1742-6596/1925/1/012043
Bucki, N., & Mueller, M. W. (2019). Design and control of a passively morphing quadcopter. Proceedings - IEEE International Conference on Robotics and Automation, 2019-May, 9116–9122. https://doi.org/10.1109/ ICRA.2019.8794373
Diginsa, M. U., Shafie, N., Yusuf, N., & Suleiman, S. U. (2023). Review: Issues and Challenges of Simultaneous Localization and Mapping (SLAM) Technology in Autonomous Robot. International Journal of Innovative Computing, 13(2), 59–63. https://doi.org/10.11113/ijic.v13n2.408
Emmitt, J., Pillay, P., Barrett, M., Middleton, S., Mackrell, T., Floyd, B., & Ladefoged, T. N. (2021). A comparison of volumetric reconstruction methods of archaeological deposits using point-cloud data from ahuahu, aotearoa new zealand. Remote Sensing, 13(19). https://doi.org/10.3390/rs13194015
Esmail, M., Merzban, M., Khalaf, A. A. M., & Hamed, H. (2023). Comparison of various Control Techniques Applied to a Quadcopter. Journal of Advanced Engineering Trends, 42(2), 233–244. https://doi.org/ 10.21608/jaet.2022.122064.1141
Kilby, T., & Kilby, B. (2015). Getting Started with Drones Build and Customize Your Own Quadcopter. San Francisco: Maker Media. Inc.
Leal, I. S., Abeykoon, C., & Perera, Y. S. (2021). Design, simulation, analysis and optimization of pid and fuzzy based control systems for a quadcopter. Electronics (Switzerland), 10(18). https://doi.org/ 10.3390/electronics10182218
Lemus, R., Díaz, S., Gutiérrez, C., Rodríguez, D., & Escobar, F. (2014). SLAM-R algorithm of simultaneous localization and mapping using RFID for obstacle location and recognition. Journal of Applied Research and Technology, 12(3), 551–559. https://doi.org/10.1016/S1665-6423(14)71634-7
Mashur Arbi Maulana & Reynaldi Novian. (2022). Autonomous Mobile Robot Dengan Metode Simultaneous Localization and Mapping (Slam).
Mendoza-Soto, J. L., Corona-Sánchez, J. J., & Rodríguez- Cortés, H. (2019). Quadcopter Path Following Control. A Maneuvering Approach. Journal of Intelligent and Robotic Systems: Theory and Applications, 93(1–2), 73–84. https://doi.org/10.1007/ s10846-018-0801-0
Nguyen, A. T., Xuan-Mung, N., & Hong, S. K. (2019). Quadcopter adaptive trajectory tracking control: A new approach via backstepping technique. Applied Sciences (Switzerland), 9(18), 1–17. https://doi.org/ 10.3390/app9183873
Nvss, S., Esakki, B., Yang, L. J., Udayagiri, C., & Vepa, K. S. (2022). Design and Development of Unibody Quadcopter Structure Using Optimization and Additive Manufacturing Techniques. Designs, 6(1). https://doi.org/10.3390/designs6010008
Oliver, A., Kang, S., Wünsche, B. C., & MacDonald, B. (2012). Using the Kinect as a navigation sensor for mobile robotics. ACM International Conference Proceeding Series, August, 509–514. https://doi.org/ 10.1145/2425836.2425932
Paredes, J., Sharma, P., Ha, B., Lanchares, M., Atkins, E., Gaskell, P., & Kolmanovsky, I. (2021). Development, implementation, and experimental outdoor evaluation of quadcopter controllers for computationally limited embedded systems. Annual Reviews in Control, 52, 372–389. https://doi. org/10.1016/j.arcontrol.2021.06.001
Pirjanian, P., Karlsson, N., Goncalves, L., & Di Bernardo, E. (2003). Low-cost visual localization and mapping for consumer robotics. Industrial Robot, 30(2), 139–144. https://doi.org/10.1108/01439910310464159
Rahman, A. (2020). Penerapan SLAM Gmapping dengan Robot Operating System Menggunakan Laser Scanner pada Turtlebot. Jurnal Rekayasa Elektrika, 16(2). https://doi.org/10.17529/jre.v16i2.16491
Santos, F. B. N. dos. (2014). A collaborative, non-invasive Hybrid Semantic Localization And Mapping system (HySeLAM).
Scrivener, J. (2011). Preview-Learning-Teaching-The-Essential-Guide-to-English-Language-Teaching-by-Jim-Scrivener.pdf. In Learning Teaching: The Essential Guide to English Language Teaching. (hal. 249–270).
Sheta, A., Braik, M., Maddi, D. R., Mahdy, A., Aljahdali, S., & Turabieh, H. (2021). Optimization of pid controller to stabilize quadcopter movements using meta-heuristic search algorithms. Applied Sciences (Switzerland), 11(14). https://doi.org/10.3390/app 11146492
Tuna, T., Ertug Ovur, S., Gokbel, E., & Kumbasar, T. (2020). Design and development of FOLLY: A self-foldable and self-deployable quadcopter. Aerospace Science and Technology, 100(March). https://doi.org/10.1016/ j.ast.2020.105807
Wei, P., Fu, K., Villacres, J., Ke, T., Krachenfels, K., Stofer, C. R., Bayati, N., Gao, Q., Zhang, B., Vanacker, E., & Kong, Z. (2024). A Compact Handheld Sensor Package with Sensor Fusion for Comprehensive and Robust 3D Mapping. Sensors, 24(8), 1–18. https://doi.org/10.3390/s24082494
Xu, B., Wang, W., Falzon, G., Kwan, P., Guo, L., Chen, G., Tait, A., & Schneider, D. (2020). Automated cattle counting using Mask R-CNN in quadcopter vision system. Computers and Electronics in Agriculture, 171(February), 105300. https://doi.org/10.1016/ j.compag.2020.105300
Yang, T., Li, P., Zhang, H., Li, J., & Li, Z. (2018). Monocular vision SLAM-based UAV autonomous landing in emergencies and unknown environments. Electronics (Switzerland), 7(5). https://doi.org/10. 3390/electronics7050073
