LOCALIZATION AND MOTION CONTROL IMPLEMENTATION FOR AN AGRICULTURAL MOBILE ROBOT

Authors

  • Mohd Saiful Azimi Mahmud Control and Mechatronics Department, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Mohamad Shukri Zainal Abidin Control and Mechatronics Department, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Zaharuddin Mohamed Control and Mechatronics Department, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/jt.v79.9833

Keywords:

Kinematics, localization, cascade control, dead reckoning, simulation

Abstract

In robot navigation experiment, a localization and motion control system is required to secure the agricultural robot motion in the environment. However, the high cost of localization system and complex structure of motion controller has limited the low cost agricultural mobile robot development. In this paper, a low-cost localization system and simple motion control system is presented. The localization system has been implemented using a dead reckoning method by accessing an incremental encoder’s reading. A simple cascaded motion control system based on proportional feedback kinematics controller and PI based controller was used to control the mobile robot motion. The performances of different turning methods: U turn and a π turn, were compared for lane changing, based on completion time, controller’s error and distance travelled. Simulation test of robot motion was conducted using a Simulink3d animation in MATLAB software. An experimental test in a real greenhouse environment was conducted to verify the simulation performance in motion control and localization system. The experimental and simulation results have shown that a U turn has the best turning performance with 69.1 % better efficiency in experimental mode and it is recommended to be applied in agricultural field.

Author Biographies

  • Mohd Saiful Azimi Mahmud, Control and Mechatronics Department, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
    Control and Mechatronics department
  • Mohamad Shukri Zainal Abidin, Control and Mechatronics Department, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
    Control and Mechatronics Department
  • Zaharuddin Mohamed, Control and Mechatronics Department, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
    Head of Control and Mechatronics Department

References

Bechar, A., Vigneault, A. 2016. Agricultural Robots for Field Operations: Concept and Components. Biosystems Engineering. 149(2016): 94-111.

Mousazadeh, H. 2013. A Technical Review on Navigation Systems of Agricultural Autonomous off-road Vehicles. Journal of Terramechanics. 50(2013): 211-232.

Belforte, G., R. Deboli, P. Gay, P. Piccarolo, and D. Ricauda imonino. 2006. Robot Design and Testing for Greenhouse Applications. Biosystems Engineering. 95(3): 309-321.

Shalal, N., T. Low, C. McCarthy, and N. Hancock. 2015. Orchard Mapping and Mobile Robot Localization using On-Board Camera and Laser Scanner Data Fusion – Part B: Mapping and localization. Computers and Electronics in Agriculture. 119 (2015): 267-278.

Shivaprasad B. S., Ravishankara, M. N., Shoba, B. N. 2014. Design and Impementation of Seeding and Fertilizing Agriculture Robot. International Journal of Application or Innovation in Engineering & Management. 3(6): 251-255.

Gallakota A. 2011. Agribot- A Multipurpose Agricultural Robot. 2011 Annual IEEE India Conference. Hyderabad, India. 16-18 December 2011. 1-4.

Zaidner, G. and A. Shapiro. 2016. A Novel Data Fusion Algorithm for Low-Cost Localization and Navigation of Autonomous Vineyard Sprayer Robots: Biosystems Engineering (Advances in Robotic Agriculture for Crops). 146 (2016): 133-148.

Yi-Chich, C., S. Chen, and L. Jia-Feng. 2013. Study of an Autonomous Fruit Picking Robot System in Greenhouses. Engineering in Agriculture, Environment and Food. 6(3): 92-98.

Bayar, G., M. Bergerman, A. Bugra Koku, and E. Ilhan Konukseven. 2015. Localization and Control of an Autonomous Orchard Vehicles. Computers and Electronics in Agriculture. 115 (2015): 118-128.

Bechar, A., Vigneault, A. 2017. Agricultural Robots for Field Operations. Part 2: Operations and Systems. Biosystems Engineering. 153(2017): 110-128.

Bac, C. W., Hemming, J., van henten, E., J. 2013. Robust Pixel-based Classification of Obstacles for Robotic Harvesting of Sweet-Pepper. Computers and Electronics in Agriculture. 96(2013): 148-162.

Sivaraman, B. and Burks , T. F. 2006. Geometric Performance Indices for Analysis and Synthesis of Manipulators for Robotics Harvesting. Transactions of the ASABE. 49(5): 1589-1597.

Guo, L.S., Zhang Q., Han S. 2002. Position Estimate of Off-Road Vehicles using a Low Cost GPS and IMU. ASAE Annual International meeting/CIGR XVth World Congress. Chicago, Illinois, USA. 28-31 July 2002. 1-8.

Bakker, T., van Asselt, K., Bontsema, J., Muller, J., van Straten, G. 2011. Autonomous Navigation using a Robot Platform in a Sugar Beet Field. Biosystems Engineering.109(2011): 357-368.

Earl, R., Thomas, G., Blackmore, B.S. 2000. The Potential Role of GIS in Autonomous Field Operations. Computers and Electronics in Agriculture.25(2000): 107-120.

Xue, J., Zhang, L., Grift, TE. 2012. Variable Field-of-View Machine Vision based Row Guidance of an Agricultural Robot. Computers and Electronics in Agriculture. 84(2012): 85-91.

Weiss, U., Biber, P. 2011. Plant Detection and Mapping for Agricultural Robots using a 3D LIDAR Sensor. Robot Autonomous Systems. 59(2011): 265-273.

Torii, T. 2000. Research in Autonomous Agriculture Vehicles in Japan. Computers and Electronics in Agriculture. 25(2000): 133-153.

Yarza, A., V. Santibanez, and J. Moreno-Vanezuela. 2013. An Adaptive Output Feedback Motion Tracking Controller for Robot Manipulators: Uniform Global Asymptotic Stability and Experimentation. International Journal of Applied Mathematics and Computer Sciences. 23 (3): 599-611.

Santibanez, V., R. Kelly, and M. Llama. 2002. Asymptotic Stable Tracking for Robot Manipulators via Sectorial Fuzzy Control. 15th World Congress of the International Federation of Automatic Control (IFAC). Barcelona, Spain. 21-26 July 2002. 359-364.

Felipe Martins, N., C. Wanderly Caleste, R. Carelli, M. Sarcinelli-Filho, and F. Teodiano Bastos-Filho. 2008. An Adaptive Dynamic Controller for Autonomous Mobile Robot Trajectory Tracking. Control Engineering Practice. 16(2008): 1354-1363.

Schnelle, F. and P. Eberhard. 2015. Constraint Mapping in a Feedback Linearization/MPC Scheme for Trajectory Tracking of Under Actuated Multibody Systems. 5th IFAC Conference on Nonlinear Model Predictive Control (NMPC’15). Seville, Spain. 17-20 September 2015. 446-451.

De La Cruz, C. and R. Carelli. 2006. Dynamic Modeling and Centralized Formation Control of Mobile Robot. 32nd Annual Conference on IEEE Industrial Electronics (IECON). Paris, France. 7-10 November 2006. 3880-3885.

Min Hyuc, K., Beom-Sahng, R., Kyoung Chul, K., Suprem, A, Nitaigour Mahalik, P. 2015. Autonomous Greenhouse Mobile Robot Driving Strategies From System Integration Perspective: Review and Application. IEEE/ASME Transaction on Mechatronics. 20(4): 1705-1716.

Urrea, C. and Munoz, J. 2015. Path Tracking of Mobile Robot in Crops. Journal of Intelligent & Robotics System. 80(2): 193-205.

Changlong, Y., J. Chen, M. Chen, and L. Liu. 2015. A Control Approach of an Omnidirectional Mobile Robot with Differential Wheels. 2015 IEEE International Conference on Mechatronics and Automation (ICMA). Beijing, China. 2-5 August 2015. 1211-1216.

Kumar Malu, S. and J. Majumdar. 2014. Kinematics, Localization and Control of Differential Drive Mobile Robot. Global Journal of Researches in Engineering: Robotics & Nano-Tech. 14(1): 1-7.

Hameed, I.A, A La Cour-Harbo, and K. D. Hansen. 2014. Task and Motion Planning for Selective Weed Control using a Team of Autonomous Vehicles. 13th International Conference on Control, Automation, Robotics & Vision. Marina Bay, Singapore. 10-12 December 2014. 1-5.

Jin J. Optimal Field Coverage Path Planning on 2D and 3D Surfaces. 2011. Phd Thesis, Iowa State University, United States.

Jesus, C., M, Jose Maria, B., G, Andujar, D., Roberio, A. 2016. Route Planning for Agricultural Tasks: A General Approach for Fleets of Autonomous Vehicles in Site-Specific Herbicide Applications. Computers and Electronics in Agriculture. 127(1): 204-220.

Eddaurich S., A. Hammouch, T. Meriem, R. Touahni, and A. Shibi. 2014. Unsupervised Neutral-Morphological Color Image Segmentation using Mahalanobis Criteria of Resemblence. Multimedia Computing and Systems (ICMCS) International Conference. Marrakesh, Morocco. 10-12 May 2014. 314-320.

Claude Overmars, L., E. Kavraki Lydia, P. Svetska, and M. H. Jean. 1996. Probabilistic Roadmap for Path Planning in High-Dimensional Configuration Spaces. IEEE Transactions on Robotic and Automation. 12(1): 566-579.

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Published

2017-10-22

Issue

Section

Science and Engineering

How to Cite

LOCALIZATION AND MOTION CONTROL IMPLEMENTATION FOR AN AGRICULTURAL MOBILE ROBOT. (2017). Jurnal Teknologi (Sciences & Engineering), 79(7). https://doi.org/10.11113/jt.v79.9833