PID Tuning Method on AGV (automated guided vehicle) Industrial Robot

Document Type : English


1 School of Information Engineering, Jiangxi University of Science and Technology,No 86, Hongqi Ave, Ganzhou, Jiangxi,341000, China

2 School Of Information Engineering,Jiangxi University Of Science And Technology, No86, Hongqi Ave,Ganzhou,Jiangxi,341000, China

3 School of Information Engineering, Jiangxi University of Science and Technology, No86, Hongqi Ave, Ganzhou, Jiangxi, 341000, China.


Controlling a system can be done in various ways and methods. The classical method which even now a day as a solution works is PID which in that with some method three-parameter of controller called P (Proportional), I (Integral), D (Derivational) tuned to have the best controlling response from a system. The AGV robot as the abbreviation of the Automated Guided Vehicle is as a famous robot platform which used in various industries relies on PID controllers in various ways. Each AGV or Machine has its own set of function, hence, in order to accomplish the exact set of workload more efficiently one need to actually tune the PID parameters accordingly so that there cannot be an intolerable amount of energy loss, inefficiency rate, lag, lack of robustness etc. In this paper over than introduction of PID controller and see the effect of each parameter on the real system the compassion between hired methods on AGV robot are investigated. As this review indicates that various PID tune method are used based on system requirements with the help of Lyapunov Direct Method, traditional Ziegler Nichols, Fuzzy controller, human immune system called the humoral, neural network, etc to control the speed and steering of an AGV systems.


[1] [visted on 2/2/20]
[3][1]_104644 [visited on 2/2/20]
[9]     Devdas Shetty; Richard A. Kolk (17 June 2010). Mechatronics System Design. Cengage Learning. pp. 330–. ISBN 1-4390-6198-X
[11]  Qian, Zhikang et al. “Design of a Low Power Consumption Control System of Permanent Magnet Synchronous Motor for Automated Guided Vehicle.” 2019 22nd International Conference on Electrical Machines and Systems (ICEMS) (2019): 1-5.
[13]  Zhang, Huaqiang, Dandan Wu, and Tong Yao. "Research on AGV trajectory tracking control based on double closed-loop and PID control." Journal of Physics: Conference Series. Vol. 1074. No. 1. IOP Publishing, 2018.
[14]  Villagra, Jorge, and David Herrero-Pérez. "A comparison of control techniques for robust docking maneuvers of an AGV." IEEE Transactions on Control Systems Technology 20.4 (2011): 1116-1123.
[15]  Lee, Young Jin, et al. "Driving control of an AGV for an automated container terminal using an immunized PID controller based on cell-mediated immunity." Artificial Life and Robotics 9.2 (2005): 90-95.
[16]  Lee, Jin-Woo, et al. "A study for AGV steering control and identification using vision system." ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No. 01TH8570). Vol. 3. IEEE, 2001.
[17]  Wijesoma, Wijerupage Sardha, and K. R. S. Kodagoda. "Design of stable fuzzy controllers for an AGV." Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000)(Cat. No. 00CH37113). Vol. 2. IEEE, 2000.
[18]  Jacobs, Laurens, et al. "Trajectory tracking of AGVs by linear parameter-varying control: a case study." IFAC-PapersOnLine 51.26 (2018): 43-48.
[19]  Dianyong, Yu, and Xue Hui. "Application of fuzzy control method to AGV." IEEE International Conference on Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003. Vol. 2. IEEE, 2003.
[20]  Parikh, Priyam, et al. "Implementing Fuzzy Logic Controller and PID Controller to a DC Encoder Motor–“A case of an Automated Guided Vehicle”." Procedia Manufacturing 20 (2018): 219-226.
[21]  TANG, Hong-jie, et al. "PID Control of Magnetic Navigation Differential AGV Trajectory." DEStech Transactions on Engineering and Technology Research apop (2017).
[22]  Kodagoda, K. R. S., W. Sardha Wijesoma, and Eam Khwang Teoh. "Fuzzy speed and steering control of an AGV." IEEE Transactions on control systems technology 10.1 (2002): 112-120                         
[23] [visited 4th april, 2020]
[24]  O. T. Esfahani and A. J. Moshayedi, “Accuracy of the Positioning Systems for the Tracking of Alzheimer’s Patients-A Review,” Int. J. Appl. Electron. Phys. Robot., vol. 2, no. 2, pp. 10–16, 2014.
[25]  M., Bozorg, H., Jalili, S.A. Eftekhari, “Robustness of autonomous underwater vehicle control in variable working conditions”, Journal of Marine Science and Technology, Vol. 12, No. 4, pp 232-239,November, 2007.
[26]  M. Bozorg, S.A. Eftekhari, H. Jalili, “Robust control of autonomous underwater vehicles in uncertain operating conditions”, 5th IFAC/EURON Symposium on Intelligent Autonomous Vehicles, Instituto Superior Técnico, Lisboa, Portugal, July 5-7, 2004.
[27]  M. Bozorg, S.A. Eftekhari, H. Jalili, “Robustness of Underwater Vehicle Control under Parameter Perturbations”, 8th International and 12th Annual Mechanical Engineering Conference, Tarbiat Modares University, I.R. Iran, May 2004.
[28]  Moahamad Khaje khabaz, S. Ali Eftekhari, Mohamad Hashemian, Davood Toghraie, “Optimal vibration control of multi-layer micro-beams actuated by piezoelectric layer based on modified couple stress and surface stress elasticity theories”, Physica A: Statistical Mechanics and its Applications, Volume 546, 15 May 2020, 123998
[29]  A J. Moshayedi and D. C. Gharpure, “Evaluation of bio inspired Mokhtar: Odor localization system,” in 2017 18th International Carpathian Control Conference, ICCC 2017, 2017.
[30]  A.J. Moshayedi, D. C. Gharpure, and A. D. Shaligram, “Design and Development Of MOKHTAR Wind Tracker.”
[31]  A.J. Moshayedi, S. S. Fard, L. Liao, and S. A. Eftekhari, “Design and Development of Pipe Inspection Robot Meant for Resizable Pipe Lines,” Int. J. Robot. Control, vol. 2, no. 1, p. 25, 2019.
[32]  Moshayedi, Ata Jahangir, Damayanti C. Gharpure, and Arvind D. Shaligram. "Design and Development Of MOKHTAR Wind Tracker." International Journal of Soft Computing and Engineering (IJSCE) (2013): 167-173.
[33]  A. J. Moshayedi and D. C. Gharpure, “Development of Position Monitoring system for studying performance of wind tracking algorithms,” in Robotics; Proceedings of ROBOTIK 2012; 7th German Conference on, 2012, pp. 1–4.
[34]  A. J. Moshayedi, A. Abbasi, L. Liao and S. Li, "Path planning and trajectroy tracking of a mobile robot using bio-inspired optimization algorithms and PID control", 2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), Tianjin, China, 2019, pp. 1-6.