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Research Papers

Development of Proportional–Integral–Derivative and Fuzzy Control Strategies for Navigation in Agricultural Environments

[+] Author and Article Information
Stephanie Bonadies, Neal Smith

Department of Mechanical Engineering,
University of Maryland,
Baltimore County,
Baltimore, MD 21250

Nathan Niewoehner

Department of Computer Science
and Electrical Engineering,
University of Maryland,
Baltimore County,
Baltimore, MD 21250

Andrew S. Lee

School of Engineering,
The University of Guelph,
Guelph, ON N1G 2W1, Canada

Alan M. Lefcourt

Environmental Microbial
and Food Safety Laboratory,
The United States Department of Agriculture,
Beltsville, MD 20705

S. Andrew Gadsden

Mem. ASME
School of Engineering,
The University of Guelph,
Guelph, ON N1G 2W1, Canada
e-mail: gadsden@uoguelph.ca

1Corresponding author.

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received September 30, 2016; final manuscript received November 7, 2017; published online December 22, 2017. Editor: Joseph Beaman. This work is in part a work of the U.S. Government. ASME disclaims all interest in the U.S. Government's contributions.

J. Dyn. Sys., Meas., Control 140(6), 061007 (Dec 22, 2017) (6 pages) Paper No: DS-16-1473; doi: 10.1115/1.4038504 History: Received September 30, 2016; Revised November 07, 2017

Farming and agriculture is an area that may benefit from improved use of automation in order to increase working hours and improve food quality and safety. In this paper, a commercial robot was purchased and modified, and crop row navigational software was developed to allow the ground-based robot to autonomously navigate a crop row setting. A proportional–integral–derivative (PID) controller and a fuzzy logic controller were developed to compare the efficacy of each controller based on which controller navigated the crop row more reliably. Results of the testing indicate that both controllers perform well, with some differences depending on the scenario.

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References

California Farm Bureau Federation, Federal Policy Division, 2012, “Walking the Tightrope: California Farmers Struggle With Employee Shortages,” California Farm Bureau Federation, Federal Policy Division, Sacremento, CA.
Feng, Q. , Wang, Z. , Zheng, W. , Qiu, Q. , and Jiang, K. , 2012, “ A New Strawberry Harvesting Robot for Elevated-Trough Culture,” Int. J. Agric. Biol. Eng., 5(2), pp. 1–8.
Kahani, A. , 2015, “FFRobotics,” Fresh Fruit Robotics, Kadima Zoran, Israel, accessed May 15, 2016, http://www.ffrobotics.com/
Bogdon, C. , 2016, “Interview: The Team Behind the Apple Harvesting Robot,” Clearpath Robotics, Clearpath Robotics Inc., Kitchener, ON, Canada, accessed May 15, 2016, http://www.clearpathrobotics.com/2016/03/grizzly-ruv-apple-harvesting-robot/
Mousazadeh, H. , 2013, “ A Technical Review on Navigation Systems of Agricultural Autonomous Off-Road Vehicles,” J. Terramechanics, 50(3), pp. 211–232. [CrossRef]
Bakker, T. , Asselt van, K. , Bontsema, J. , Müller, J. , and Straten van, G. , 2010, “ Systematic Design of an Autonomous Platform for Robotic Weeding,” J. Terramechanics, 47(2), pp. 63–73. [CrossRef]
Patel, P. , 2015, “Cheap Centimeter-Precision GPS For Cars, Drones, Virtual Reality,” IEEE Spectrum, Salem, MA, accessed Mar. 15, 2016, http://spectrum.ieee.org/tech-talk/transportation/self-driving/cheap-centimeterprecision-gps-for-cars-and-drones
Rejas, J.-I. , Sanchez, A. , Glez-de-Rivera, G. , Prieto, M. , and Garrido, J. , 2015, “ Environment Mapping Using a 3D Laser Scanner for Unmanned Ground Vehicles,” Microprocessors Microsyst., 39(8), pp. 939–949. [CrossRef]
Xue, J. , Zhang, L. , and Grift, T. E. , 2012, “ Variable Field-of-View Machine Vision Based Row Guidance of an Agricultural Robot,” Comput. Electron. Agric., 84, pp. 85–91. [CrossRef]
Sailan, K. , Kuhnert, K. D. , and Karelia, H. , 2014, “ Modeling, Design and Implement of Steering Fuzzy PID Control System for DORIS Robot,” Int. J. Comput. Commun. Eng., 3(1), pp. 57–62. [CrossRef]
Jouppila, V. T. , Gadsden, S. A. , and Ellman, A. U. , 2014, “ Experimental Comparisons of Sliding Mode Controlled Pneumatic Muscle and Cylinder Actuators,” ASME J. Dyn. Syst., Meas., Control, 136(4), p. 044503.
Jouppila, V. T. , Gadsden, S. A. , Bone, G. M. , Ellman, A. U. , and Habibi, S. R. , 2014, “ Sliding Mode Control of a Pneumatic Muscle Actuator System With a PWM Strategy,” Int. J. Fluid Power, 15(1), pp. 19–31. [CrossRef]
University of Michigan, 2016, “Introduction: PID Controller Design,” University of Michigan, Ann Arbor, MI, accessed May 17, 2016, http://ctms.engin.umich.edu/CTMS/index.php?example=Introduction&section=ControlPID
Takagaki, A. , Masuda, R. , Iida, M. , and Suguri, M. , 2013, “ Image Processing for Ridge/Furrow Discrimination,” Fourth IFAC Conference on Modelling and Control in Agriculture, Horticulture and Post Harvest Industry, Espoo, Finland, Aug. 28–30, pp. 47–51.
Control Station, 2016, “Common Industrial Applications of PID Control,” Control Station, Manchester, CT, accessed July 8, 2016, http://controlstation.com/pid-control/
Dr. Robot, 2016, “Jaguar Lite Specification,” Dr. Robot, Inc., Markham, ON, Canada, accessed May 1, 2016, http://jaguar.drrobot.com/specification_lite.asp
Dr. Robot, 2016, “Jaguar 4 × 4 Wheel Specification,” Dr. Robot, Inc., Markham, ON, Canada, accessed May 1, 2016, http://jaguar.drrobot.com/specification_4x4w.asp
SuperDroid Robots, 2016, “4WD Enclosed WiFi Controlled Mobile Robot—IG42 (Item #: TP-600-160),” SuperDroid Robots, Inc., Fuquay-Varina, NC, accessed May 2, 2016, http://www.superdroidrobots.com/shop/item.aspx/4wd-enclosed-wifi-controlled-mobile-robot-ig42/1262/
Billingsley, J. , Visala, A. , and Dunn, M. , 2008, “ Robotics in Agriculture and Forestry,” Springer Handbook of Robotics, Springer, Berlin, pp. 1065–1075. [CrossRef]
Peters, R. T. , and Evett, S. R. , 2008, “ Automation of a Center Pivot Using the Temperature-Time Threshold Method of Irrigation Scheduling,” J. Irrig. Drain. Eng., 134(3), pp. 286–291. [CrossRef]
Evett, S. R. , O'Shaughnessy, S. A. , and Peters, R. T. , 2014, “Irrigation Scheduling and Supervisory Control and Data Acquisition System for Moving and Static Irrigation Systems,” U.S. Patent No. 8,924,031 http://www.google.com/patents/US8924031.
Xue, J. , and Xu, L. , 2010, “ Autonomous Agricultural Robot and Its Row Guidance,” International Conference on Measuring Technology and Mechatronics Automation, Changsha, China, pp. 725–729.

Figures

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Fig. 2

Four-connectedness (left) verses eight-connectedness (right) [10]

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Fig. 1

Illustration of row center determination [9]

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Fig. 3

Controller lane detection flowchart

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Fig. 4

Jaguar 4 × 4 platform configuration

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Fig. 5

Indoor crop lane simulation testing environment

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Fig. 6

PID indoor test trial 1 error (left offset)

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Fig. 10

Fuzzy logic indoor test trial 2 error (right offset)

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Fig. 11

Fuzzy logic indoor test trial 12 error (middle)

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Fig. 7

PID indoor test trial 11 error (right offset)

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Fig. 8

PID indoor test trial 30 error (middle)

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Fig. 9

Fuzzy logic indoor test trial 19 error (left offset)

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