PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Low-cost embedded intelligent system design for smart mobile robot controller

Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Niedrogi projekt inteligentnego systemu wbudowanego dla inteligentnego kontrolera robota mobilnego
Języki publikacji
EN
Abstrakty
EN
The motion and sensing controllers are the main parts of any intelligent mobile robot. This paper has studied and tested the minimum possible hardware-consuming cost of motion and sensing controllers for mobile robot applications. The VHDL (Very high-speed integrated circuit Hardware Description Language) is used to design a counter-based architecture of motion and sensing controllers to gain the lowest possible implementation cost. Then a deep study of the designed architectures proved that it produces an economical use of hardware resources when implemented in XC3S1000 FPGA (Field Programmable Gate Array) device using ISE 14.1. The designed controllers worked successfully after implementation in XC3S1000 with 34 Slices cost only.
PL
Kontrolery ruchu i czujników są głównymi częściami każdego inteligentnego robota mobilnego. W tym artykule zbadano i przetestowano minimalny możliwy koszt sprzętowy kontrolerów ruchu i czujników do zastosowań robotów mobilnych. Język VHDL (ang. Very highspeed Integrated Circuit Hardware Description Language) służy do projektowania opartej na licznikach architektury kontrolerów ruchu i czujników w celu uzyskania możliwie najniższych kosztów wdrożenia. Następnie dogłębne badanie zaprojektowanych architektur dowiodło, że zapewnia oszczędne wykorzystanie zasobów sprzętowych po zaimplementowaniu w urządzeniu XC3S1000 FPGA (Field Programmable Gate Array) przy użyciu ISE 14.1. Zaprojektowane kontrolery działały z powodzeniem po wdrożeniu w XC3S1000 przy kosztach tylko 34 Slices.
Rocznik
Strony
236--240
Opis fizyczny
Bibliogr. 23 poz., rys.
Twórcy
autor
  • University of Mosul, College of Engineering, Mosul
  • University of Mosul, College of Engineering, Mosul
  • University of Tikrit, College of Engineering, Tikrit
  • University of Mosul, College of Engineering, Mosul
Bibliografia
  • [1] Wan, Zishen, Bo Yu, Thomas Yuang Li, Jie Tang, Yuhao Zhu, Yu Wang, Arijit Raychowdhury, and Shaoshan Liu. "A survey of fpga-based robotic computing." IEEE Circuits and Systems Magazine 21, no. 2 (2021): 48-74. DOI : https://doi.org/10.1109/MCAS.2021.3071609
  • [2] Fragapane, Giuseppe, René de Koster, Fabio Sgarbossa, and Jan Ola Strandhagen. "Planning and control of autonomous mobile robots for intralogistics: Literature review and research agenda." European Journal of Operational Research (2021). DOI : https://doi.org/10.1016/j.ejor.2021.01.019
  • [3] Shymkovych, Volodymyr, Sergii Telenyk, and Petro Kravets. "Hardware implementation of radial-basis neural networks with Gaussian activation functions on FPGA." Neural Computing and Applications (2021): 1-13. DOI : https://doi.org/10.1007/s00521-021-05706-3
  • [4] Wael M El-Medany, Ahmed M Abuaesh, and Noha M Abuaesh, An efficient car like-mobile robot design, IEEE EUROCON, Saint-Petersburg, Russia, P. 996 – 1001, 18 – 23th May 2009. DOI : https://doi.org/10.1109/EURCON.2009.5167756
  • [5] Leena Vachhani, and K.Sridharan, Robotic mapping with simple sensing and processing hardware - algorithm and architecture, 11th ICARCV, Singapore, P. 1012 - 1017, 7-10th December 2010. DOI : https://doi.org/10.1109/ICARCV.2010.5707929
  • [6] Babunski, Darko, Jakup Berisha, Emil Zaev, and Xhevahir Bajrami. "Application of Fuzzy Logic and PID Controller for Mobile Robot Navigation." In 2020 9th Mediterranean Conference on Embedded Computing (MECO), pp. 1-4. IEEE, 2020. DOI : https://doi.org/10.1109/MECO49872.2020.9134317
  • [7] Gao, Huanbing, Shouyin Lu, and Tao Wang. "Motion path planning of 6-DOF industrial robot based on fuzzy control algorithm." Journal of Intelligent & Fuzzy Systems Preprint (2020): 1-10. DOI : 10.3233/JIFS-179600
  • [8] Adarsh, S., and K. I. Ramachandran. "Neuro-fuzzy based fusion of LiDAR and ultrasonic sensors to minimize error in range estimation for the navigation of mobile robots." Intelligent Decision Technologies Preprint (2020): 1-9. DOI : 10.3233/IDT-180109
  • [9] Patel, Dhruv, and Kelly Cohen. Obstacle Avoidance and Target Tracking by Two Wheeled Differential Drive Mobile Robot using ANFIS in Static and Dynamic Environment. No. 3865. EasyChair, 2020.
  • [10] Wen-yo Lee, Jhu-Syuan Guo, and Chi-Pin Chen, Motion Control Components' Algorithms on a Chip for driving module, PEDS, P.240-245, 2009. DOI : https://doi.org/10.1109/PEDS.2009.5385713
  • [11] Ms. Shilpa Kale, and Mr. S. S. Shriramwar, FPGA-based Controller for a Mobile Robot, IJCSIS, Vol. 3, No. 1, 2009.
  • [12] Jnaneshwar Das, Mrinal Kalakrishnan, and Sharad Nagappa, Obstacle Avoidance for a Mobile Exploration Robot with Onboard Embedded Ultrasonic Range Sensor, Proceedings of the IIT Madras, PES Institute of Technology, Bangalore, 2003.
  • [13] Gregorio Trinidad Garcia, Griselda Saldaña-González, Jose Italo Cortes, and et al, Controlled system for distance sensingusing FPGA, 1st International congress on instrumentation and applied sciences, Cancún Q.R., Mexico, 26-29th October 2010.
  • [14] Mohamed Abdelati, FPGA-Based PID Controller Implementation, IUG Journal, Series of Natural Studies and Engineering, Gaza, Vol. 14, No. 1, P. 105-127, 2006.
  • [15] A. Wickramasooriya, and et. al., Characteristics of Sonar Range Sensor SRF05, ICIAFS, P. 475-480, 2008. DOI: https://doi.org/10.1109/ICIAFS.2008.4783933
  • [16] Jingjing Du, and et. al., The design of ultrasonic distance measurement system based of SOPC, 3rd IHMSC, Vol. 2, P. 166 – 168, 2011. DOI : https://doi.org/10.1109/IHMSC.2011.111
  • [17] Thomas Bräunl, Embedded Robotics, Springer, Germany, P.4-5, 2006.
  • [18] Xilinx, "Spartan-3 FPGA Family Complete Data Sheet", Data Sheet DS099, Xilinx, Inc., 26 April 2006
  • [19] STMicroelectronics, L298 Dual full-bridge driver, Data Sheet, 2000
  • [20] SRF05 Technical Specifications.
  • [21] Indar Sugiarto, Lauw Lim Un Tung, and Mohammad Ismail Rahman, Implementation of Fuzzy Logic in FPGA for Maze Tracking of a Mobile Robot Based on Ultrasonic Distance Measurement, Jurnal Teknik Elektro Vol. 8, No. 2, P. 96-102, September 2008. DOI: https://doi.org/10.9744/jte.8.2.96-102
  • [22] Marco A. Pérez López, et. al., Embedded system for mobile robotic in FPGAs,1st international congress on instrumentation and applied sciences, Cancún QR, Mexico, 26-29th October 2010.
  • [23] K. Srilakshmi, K. Anitha, and et. al., Design and Implementation of Distance Measuring Digital Hardware, IJECT, Vol. 2, December 2011.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3b78047a-2070-435b-84ed-b10dcdd09181
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.