Autonomous Vehicle Steering Control for Path and Heading Errors
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Solution Overview
Problem
Autonomous agricultural machines require robust navigation control systems to follow guidance paths accurately without operator oversight, as they must handle both distance and heading errors independently to maintain precision and efficiency.
Innovation Solution
A controller is configured to generate control values based on reference and distance heading errors, using a weight scheme that prioritizes distance errors with hyperbolic tangent functions to adjust steering and movement, ensuring the machine follows a guidance path by combining these values and communicating them to actuators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated guidance is used to enable machines to follow designated paths, then navigation precision is improved, but the system complexity increases due to the need for robust control systems that handle both distance and heading errors
Solution Approach 1:
The control system is segmented into multiple independent controllers, each responsible for specific error types (distance errors and heading errors). This segmentation allows the complex navigation problem to be divided into manageable sub-problems that can be solved independently and then integrated, improving precision while managing system complexity through modular architecture
Solution Approach 2:
The controller dynamically adjusts its behavior based on the machine's current state and error conditions. By implementing adaptive control strategies that respond to real-time distance and heading errors, the system maintains high navigation precision across varying operational conditions without requiring overly complex static control structures
2Ease of manufacture
If full machine automation is implemented to eliminate operator space, then machine design flexibility and simplicity are improved, but the reliability requirement increases as there is no operator oversight to handle anomalies
Solution Approach 1:
The automated control system incorporates multiple feedback loops that continuously monitor machine position, orientation, and operational parameters. This feedback mechanism enables the system to detect and correct anomalies automatically, ensuring high reliability without operator oversight by constantly comparing actual performance against desired performance and making real-time adjustments
Solution Approach 2:
The control system is designed to be self-correcting and self-managing, handling its own anomalies and errors without external intervention. By implementing autonomous decision-making capabilities and self-diagnosis functions, the system achieves the reliability necessary for full automation while maintaining the design simplicity and flexibility of operator-less machines
Data Source
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AI summary
A mobile machine comprises a chassis, a plurality of ground-engaging elements, a plurality of actuators for driving movement of the ground-engaging elements, and a controller for controlling each of the actuators to cause the mobile machine to follow a guidance path along a ground surface. The controller is configured to generate a first set of control values for driving the machine according to a first heading based on a reference heading error of the machine and generate a second set of control values for driving the machine according to a second heading based on a distance heading error of the machine, determine a weight scheme for the first set of control values and the second set of control values dependent on a distance of the machine from the guidance path, combine the control signals using the weight scheme and drive the machine using the combined control signals.