Performing Department
(N/A)
Non Technical Summary
This project addresses USDA-NIFA's research priorities regarding crop management systems that promote energy conservation and efficiency, including the use of alternative and renewable energy resources. This proposal outlines a plan to prove the research concept of a Single-pass Autonomous Follow-me (SAF) Baler. The SAF baler is intended to bale the available supply of corn stover during corn harvest by following the combine autonomously while allowing for a sufficient amount of stover to be reserved in the field for appropriate soil management practices.The single-pass baler is independently-powered and follows the combine without being physically attached. This baling method can reduce stover ash content and labor and equipment costs. The SAF Baler helps resolve issues with current baling practices: high stover ash content and operating costs associated with multi-pass methods; stress on the combine, slower operations and restricted combine maneuverability associated with single-pass operations wherein the baler is physically attached to and powered by the combine.This technology could contribute to the steady growth of the bioeconomy by reducing feedstock costs and improving the biomass quality for downstream biorefineries. The full development of a corn stover bioeconomy can unlock $2.1 billion dollars of additional income for American farmers.The proposal includes a complete 3D CAD model for a SAF Baler with engineering simulations to estimate stability, strength, power and cost characteristics. Safe, follow-me operations will be tested with a physical robot under varying conditions to prove the feasibility of autonomous follow-me operations. A cost-benefit analysis is included in the project's deliverables.
Animal Health Component
80%
Research Effort Categories
Basic
(N/A)
Applied
80%
Developmental
20%
Goals / Objectives
The objectives of this Phase I project are:1. To ensure the engineering feasibility of building a Single-pass, Autonomous, Follow-me (SAF) Baling system2. To ensure the technical feasibility of designing a navigation and safety system for the SAF baler to operate without physical attachment to the combine and one driver operating only the combine3. To assess the economic viability of a SAF baling system using data obtained from Objectives 1 and 2 and information contained in the many reports included in the BibliographyProject Design - the project will be executed in two parallel work streams:Work Stream 1 - CAD ModelingATC's engineers and design staff are highly trained, with decades of experience in CAD modeling for companies such as Ford Motor Company. This team will assemble a full 3D CAD model of the proposed SAF baler in SolidWorks and gather the technical information required to ensure the SAF baler can be built and will operate efficiently in the field once the product is built. The team will select the components required the SAF baler consisting mostly of off-the-shelf products: a square baler as a reference platform; a diesel generator set; ATC's eDriveTM motors and ATC's proprietary eDriveTM variable torque controllers to control the speed and power of the motors. From the dimensions, weight and performance characteristics of these components, a complete CAD model will be constructed and will undergo a series of engineering tests and simulations including structural integrity, stability / center of gravity, manufacturability, complete cost of manufacturing, speed of travel, speed of baling, etc.The ATC team has done this very sort of retrofit installation many times in the past including a large John Deere 8760 articulated tractor and a John Deere 4930 self-propelled sprayer, both shown in Figure 5. Currently, ATC is working with a large OEM to do a similar retrofit of their 100hp tractor to demonstrate the feasibility of electrifying their tractor platform with the intent to go into production in 2-3 years.Work Stream 2 - Follow-me Navigation TestingThere are many economical navigation technologies today that allow for drones (both aerial and ground) to follow a desired object. These technologies have not yet been tested in the proposed SAF Baler application. Indeed, most of these technologies are designed for hobby use. However, they have proven able to control even large vehicles such as tractors (Ardupilot, 2016). ATC's electronics engineers believe that one of these off-the-shelf systems could be repurposed for the SAF baler, allowing for reasonably precise following of the combine by the baler. Most of these systems also have object detection and safety functionality that would make the SAF baler safe to operate in the field.The technology most attractive to ATC's engineers is the open-source technology found in Ardupilot. This software system supports Arduino board-based drones for aerial, aquatic and ground use (Ardupilot, 2016). This technology has multiple sensors for follow-me technology including GPS "breadcrumbs," optical sensors, ultrasonic beacons and infrared cameras. It has been used in hundreds of applications including agriculture to create self-driving tractors. There is also a Kalman filter available to fuse the various tracking sensors into a single guidance path. There are hundreds of ready-built libraries that ATC's engineers can leverage to get through testing and validation quickly.The proposed vehicle on which to test this follow-me safety and navigation system using Ardupilot is the Erle Rover, a complete robot vehicle kit that is made to run with Ardupilot (Erle Robotics, 2017). While the vehicle is obviously much smaller than a baler, the principle of follow-me safety and navigation features are very similar and its scale will allow for more extensive testing and validation of the Ardupilot system. Since the code is open-source it can be more easily adapted to a larger-scale implementation like the SAF baler.In order to test the accuracy of the Ardupilot safety and navigation system, ATC proposes using the Erle Rover following another vehicle under varying conditions using an on-board, high resolution camera to track the movement of the Erle Rover relative to its intended target on the back of the lead vehicle. Analyzing this footage will give strong indicators of the distance and lateral position of the Rover versus the lead vehicle. To facilitate this analysis, ATC intends to use the open-source digital image analysis software Tracker, developed by Douglas Brown at Cabrillo College. Originally intended for physics classes to learn about trajectories, acceleration and other concepts, the software's applications have grown over the years and it is now possible, when the experiment is set up correctly, to analyze video footage to determine relative X, Y, Z positions of various objects with a high degree of accuracy. The footage obtained in this experiment will analyze an individual target on the back of the lead vehicle and determine the movement of this target from its starting orientation and position (e.g., dead center). X, Y, Z changes of this target during vehicle travel will indicate how accurately the following vehicle is tracking the lead vehicle's course.One key thing to note about this navigation and safety technology is that the performance hurdle is not very high: if the baler misses some of the harvest material coming off the combine because it is slightly out of position, there is really no harm, just a reduction in system efficiency. Furthermore, there are actually very few objects or people in the field during harvest that the baler would have to avoid on its own. As there will always be a driver in the combine and the baler is following the combine in very close proximity, there are few instances imaginable in which the baler's independent safety systems would need to be activated. There are currently no legal restrictions to the use of autonomous ground equipment on private property and the use of the SAF baler would be constrained only to private property. For transport to and from the field, the baler would be towed by a pickup or tractor on a flatbed trailer or with a hitch as a conventional baler is today.
Project Methods
Efforts:The ProjectTeam will assemble a full 3D CAD model of the proposed SAF baler in SolidWorks and gather the technical information required to ensure the SAF baler can be built and will operate efficiently in the field once the product is built. The team will select the components required the SAF baler consisting mostly of off-the-shelf products: a square baler as a reference platform; a diesel generator set; ATC's eDriveTM motors and ATC's proprietary eDriveTM variable torque controllers to control the speed and power of the motors.ATC's electronics engineers believe that the off-the-shelf "Ardupilot" systemcould be repurposed for the SAF baler, allowing for reasonably precise following of the combine by the baler. Most of these systems also have object detection and safety functionality that would make the SAF baler safe to operate in the field. This navigation and safety system will be placed on a test platformErle Rover, a complete robot vehicle kit that is made to run with Ardupilot.Ardupilot is a complete software and hardware system that supports Arduino board-based drones for aerial, aquatic and ground use (Ardupilot, 2016). This technology has multiple sensors for follow-me technology including GPS "breadcrumbs," optical sensors, ultrasonic beacons and infrared cameras. It has been used in hundreds of applications including agriculture to create self-driving tractors. There is also a Kalman filter available to fuse the various tracking sensors into a single guidance path. There are hundreds of ready-built libraries that ATC's engineers can leverage to get through testing and validation quickly.Finally, amore thorough economic model including equipment capital and operating costs, handling costs, storage, feedstock quality and other economic considerations will be constructed as part of this Phase to provide a clearer understanding of the economic benefit that could be achieved by farmers and biorefineries using a SAF baling system.Evaluation:CAD Model: From the dimensions, weight and performance characteristics of these components, a complete CAD model will be constructed and will undergo a series of engineering tests and simulations including structural integrity, stability / center of gravity, manufacturability, complete cost of manufacturing, speed of travel, speed of baling, etc.Follow-me System: In order to test the accuracy of the Ardupilot safety and navigation system, ATC proposes using the Erle Rover following another vehicle under varying conditions using an on-board, high resolution camera to track the movement of the Erle Rover relative to its intended target on the back of the lead vehicle. Analyzing this footage will give strong indicators of the distance and lateral position of the Rover versus the lead vehicle. To facilitate this analysis, ATC intends to use the open-source digital image analysis software Tracker, developed by Douglas Brown at Cabrillo College. Originally intended for physics classes to learn about trajectories, acceleration and other concepts, the software's applications have grown over the years and it is now possible, when the experiment is set up correctly, to analyze video footage to determine relative X, Y, Z positions of various objects with a high degree of accuracy. The footage obtained in this experiment will analyze an individual target on the back of the lead vehicle and determine the movement of this target from its starting orientation and position (e.g., dead center). X, Y, Z changes of this target during vehicle travel will indicate how accurately the following vehicle is tracking the lead vehicle's course.Eonomic Model: The economic model will be assembled and evaluated by comparing the delivered cost and quality of corn stover to a biofuel plant using the SAF baling method versus conventional multi-pass harvest method and single-pass harvest method (Cost/Beneift Analysis). Although the focus of this project will be on corn stover, the applicability of designed SAF Baler and its costs/benefits will be discussed for other biomass feedstocks such as switchgrass and miscanthus. This work will be overseen by Dr. Ebadian who has published several papers on system economics of biofuel production.