Research Article
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Year 2023, Volume 27, Issue 1, 120 - 134, 28.02.2023
https://doi.org/10.16984/saufenbilder.1148158

Abstract

References

  • [1] M. S. A. Mahmud, M. S. Z. Abidin, Z. Mohamed, M. K. I. Abd Rahman, M Iida, “Multi-objective path planner for an agricultural mobile robot in a virtual greenhouse environment,” Computers and Electronics in Agriculture, 157, 2019.
  • [2] H. Li, A. V. Savkin. “An algorithm for safe navigation of mobile robots by a sensor network in dynamic cluttered industrial environments,” Robotics and Computer-Integrated Manufacturing, 54: 65-82, 2018.
  • [3] Q. V. Dang, I. Nielsen, S. Bøgh, G. Bocewicz, “Modelling and scheduling autonomous mobile robot for a real-world industrial application,”IFAC Proceedings Volumes, 46(9), 2098-2103, 2013.
  • [4] D. Pazderski, “Application of transverse functions to control differentially driven wheeled robots using velocity fields,” Bulletin of the Polish Academy of Sciences, Technical Sciences 64.4, 2016.
  • [5] P. Panahandeh, K. Alipour, B. Tarvirdizadeh, A. Hadi, “A kinematic Lyapunov-based controller to posture stabilization of wheeled mobile robots,” Mechanical Systems and Signal Processing, 134, 106319, 2019.
  • [6] T. Hellström, “Kinematics equations for differential drive and articulated steering,” Department of Computing Science, Umeå University, 2011.
  • [7] L. Armesto, V. Girbés, A. Sala, M. Zima, V. Šmídl, “Duality-based nonlinear quadratic control: Application to mobile robot trajectory-following,” IEEE Transactions on Control Systems Technology, 23(4),1494-1504, 2015.
  • [8] H. Taheri, C. X. Zhao, “Omnidirectional mobile robots, mechanisms and navigation approaches,” Mechanism and Machine Theory, 153, 103958, 2020.
  • [9] F. Demirbaş, M. Kalyoncu, “Differential drive mobile robot trajectory tracking with using pid and kinematic based backstepping controller,” Selçuk Üniversitesi Mühendislik, Bilim ve Teknoloji Dergisi, 5(1), 1-15, 2017.
  • [10] R. Dhaouadi, A. A. Hatab, “Dynamic modelling of differential-drive mobile robots using lagrange and newton-euler methodologies: A unified framework,” Advances in Robotics & Automation, 2(2), 1-7, 2013.
  • [11] Y. Kanayama, Y. Kimura, F. Miyazaki, T. Noguchi, “A stable tracking control method for an autonomous mobile robot,” Proceedings., IEEE International Conference on Robotics and Automation, OH, USA, pp. 384-389 vol.1, 1990.
  • [12] N. Wada, S. Tagami, M. Saeki, “Path-following control of a mobile robot in the presence actuator constraints, ” Advanced Robotics, 21(5-6), 645-659, 2007.
  • [13] O. Mohareri, “Mobile robot trajectory tracking using neural networks,” PhD Thesis, 2009.
  • [14] Y. Z. Arslan, A. Sezgin, N. Yagiz, “Improving the ride comfort of vehicle passenger using fuzzy sliding mode controller,” Journal of Vibration and Control 21.9: 1667-1679, 2015.

Trajectory Tracking via Backstepping Controller with PID or SMC for Mobile Robots

Year 2023, Volume 27, Issue 1, 120 - 134, 28.02.2023
https://doi.org/10.16984/saufenbilder.1148158

Abstract

Mobile robot concept is one of the most commonly used nonholonomic system for industrial and academic autonomous applications. There are many types of mobile robot design concepts and control strategies which have been continuously developed by researchers. In this study, two wheeled differential drive mobile robot (DDMR) is used for trajectory tracking study under different conditions. Reference trajectory, dynamic and kinematic motion models of DDMR are defined as mathematical expressions in computer software. For tracking the reference trajectory, error between current pose and reference pose was decreased by sliding mode controller (SMC) and proportional–integral–derivative controller (PID) with kinematic based backstepping controller (KBBC) respectively. A reference path which consists of sinusoidal and linear parts tracked by both controller combinations in first simulation to examine controller tracking performances. In order to examine and compare; responsiveness, stability and robustness of the controllers, an additional mass which affects motion dynamics of DDMR vertically added to the mobile robot body during trajectory tracking application. All results and discussions are comparatively stated at the end of the study with related error figures and evaluations.

References

  • [1] M. S. A. Mahmud, M. S. Z. Abidin, Z. Mohamed, M. K. I. Abd Rahman, M Iida, “Multi-objective path planner for an agricultural mobile robot in a virtual greenhouse environment,” Computers and Electronics in Agriculture, 157, 2019.
  • [2] H. Li, A. V. Savkin. “An algorithm for safe navigation of mobile robots by a sensor network in dynamic cluttered industrial environments,” Robotics and Computer-Integrated Manufacturing, 54: 65-82, 2018.
  • [3] Q. V. Dang, I. Nielsen, S. Bøgh, G. Bocewicz, “Modelling and scheduling autonomous mobile robot for a real-world industrial application,”IFAC Proceedings Volumes, 46(9), 2098-2103, 2013.
  • [4] D. Pazderski, “Application of transverse functions to control differentially driven wheeled robots using velocity fields,” Bulletin of the Polish Academy of Sciences, Technical Sciences 64.4, 2016.
  • [5] P. Panahandeh, K. Alipour, B. Tarvirdizadeh, A. Hadi, “A kinematic Lyapunov-based controller to posture stabilization of wheeled mobile robots,” Mechanical Systems and Signal Processing, 134, 106319, 2019.
  • [6] T. Hellström, “Kinematics equations for differential drive and articulated steering,” Department of Computing Science, Umeå University, 2011.
  • [7] L. Armesto, V. Girbés, A. Sala, M. Zima, V. Šmídl, “Duality-based nonlinear quadratic control: Application to mobile robot trajectory-following,” IEEE Transactions on Control Systems Technology, 23(4),1494-1504, 2015.
  • [8] H. Taheri, C. X. Zhao, “Omnidirectional mobile robots, mechanisms and navigation approaches,” Mechanism and Machine Theory, 153, 103958, 2020.
  • [9] F. Demirbaş, M. Kalyoncu, “Differential drive mobile robot trajectory tracking with using pid and kinematic based backstepping controller,” Selçuk Üniversitesi Mühendislik, Bilim ve Teknoloji Dergisi, 5(1), 1-15, 2017.
  • [10] R. Dhaouadi, A. A. Hatab, “Dynamic modelling of differential-drive mobile robots using lagrange and newton-euler methodologies: A unified framework,” Advances in Robotics & Automation, 2(2), 1-7, 2013.
  • [11] Y. Kanayama, Y. Kimura, F. Miyazaki, T. Noguchi, “A stable tracking control method for an autonomous mobile robot,” Proceedings., IEEE International Conference on Robotics and Automation, OH, USA, pp. 384-389 vol.1, 1990.
  • [12] N. Wada, S. Tagami, M. Saeki, “Path-following control of a mobile robot in the presence actuator constraints, ” Advanced Robotics, 21(5-6), 645-659, 2007.
  • [13] O. Mohareri, “Mobile robot trajectory tracking using neural networks,” PhD Thesis, 2009.
  • [14] Y. Z. Arslan, A. Sezgin, N. Yagiz, “Improving the ride comfort of vehicle passenger using fuzzy sliding mode controller,” Journal of Vibration and Control 21.9: 1667-1679, 2015.

Details

Primary Language English
Subjects Engineering, Mechanical
Journal Section Research Articles
Authors

Sinan YİGİT> (Primary Author)
ISTANBUL UNIVERSITY-CERRAHPASA
0000-0002-4417-8586
Türkiye


Aziz SEZGİN>
ISTANBUL UNIVERSITY-CERRAHPASA
0000-0001-6861-5309
Türkiye

Publication Date February 28, 2023
Submission Date July 24, 2022
Acceptance Date December 6, 2022
Published in Issue Year 2023, Volume 27, Issue 1

Cite

Bibtex @research article { saufenbilder1148158, journal = {Sakarya University Journal of Science}, eissn = {2147-835X}, address = {}, publisher = {Sakarya University}, year = {2023}, volume = {27}, number = {1}, pages = {120 - 134}, doi = {10.16984/saufenbilder.1148158}, title = {Trajectory Tracking via Backstepping Controller with PID or SMC for Mobile Robots}, key = {cite}, author = {Yigit, Sinan and Sezgin, Aziz} }
APA Yigit, S. & Sezgin, A. (2023). Trajectory Tracking via Backstepping Controller with PID or SMC for Mobile Robots . Sakarya University Journal of Science , 27 (1) , 120-134 . DOI: 10.16984/saufenbilder.1148158
MLA Yigit, S. , Sezgin, A. "Trajectory Tracking via Backstepping Controller with PID or SMC for Mobile Robots" . Sakarya University Journal of Science 27 (2023 ): 120-134 <https://dergipark.org.tr/en/pub/saufenbilder/issue/75859/1148158>
Chicago Yigit, S. , Sezgin, A. "Trajectory Tracking via Backstepping Controller with PID or SMC for Mobile Robots". Sakarya University Journal of Science 27 (2023 ): 120-134
RIS TY - JOUR T1 - Trajectory Tracking via Backstepping Controller with PID or SMC for Mobile Robots AU - SinanYigit, AzizSezgin Y1 - 2023 PY - 2023 N1 - doi: 10.16984/saufenbilder.1148158 DO - 10.16984/saufenbilder.1148158 T2 - Sakarya University Journal of Science JF - Journal JO - JOR SP - 120 EP - 134 VL - 27 IS - 1 SN - -2147-835X M3 - doi: 10.16984/saufenbilder.1148158 UR - https://doi.org/10.16984/saufenbilder.1148158 Y2 - 2022 ER -
EndNote %0 Sakarya University Journal of Science Trajectory Tracking via Backstepping Controller with PID or SMC for Mobile Robots %A Sinan Yigit , Aziz Sezgin %T Trajectory Tracking via Backstepping Controller with PID or SMC for Mobile Robots %D 2023 %J Sakarya University Journal of Science %P -2147-835X %V 27 %N 1 %R doi: 10.16984/saufenbilder.1148158 %U 10.16984/saufenbilder.1148158
ISNAD Yigit, Sinan , Sezgin, Aziz . "Trajectory Tracking via Backstepping Controller with PID or SMC for Mobile Robots". Sakarya University Journal of Science 27 / 1 (February 2023): 120-134 . https://doi.org/10.16984/saufenbilder.1148158
AMA Yigit S. , Sezgin A. Trajectory Tracking via Backstepping Controller with PID or SMC for Mobile Robots. SAUJS. 2023; 27(1): 120-134.
Vancouver Yigit S. , Sezgin A. Trajectory Tracking via Backstepping Controller with PID or SMC for Mobile Robots. Sakarya University Journal of Science. 2023; 27(1): 120-134.
IEEE S. Yigit and A. Sezgin , "Trajectory Tracking via Backstepping Controller with PID or SMC for Mobile Robots", Sakarya University Journal of Science, vol. 27, no. 1, pp. 120-134, Feb. 2023, doi:10.16984/saufenbilder.1148158

Sakarya University Journal of Science (SAUJS)