Agricultural Vehicle Steering Calibration With Nonlinear Curvature Modeling

The patent transforms the complex non-linear steering control problem into a polynomial parameter optimization problem. By representing the curvature model as a third-degree polynomial with adjustable coefficients, the system can achieve high prediction accuracy while maintaining computational efficiency through parameter tuning rather than complex structural design.

The patent replaces traditional mechanical steering control mechanisms with a data-driven computational model. Instead of relying on physical feedback mechanisms and mechanical linkages, the system uses polynomial-based mathematical models processed by control circuitry to predict and adjust steering conditions, reducing mechanical complexity while improving precision.

The patent performs curvature model calibration in advance during system setup or maintenance periods, storing the calibrated polynomial coefficients for rapid deployment. This preliminary action separates the time-consuming data collection and regression processes from operational use, allowing the system to achieve high prediction accuracy without time delays during actual steering operations.

The patent creates simplified polynomial representations (copies) of the complex non-linear steering behavior through regression analysis. These polynomial models serve as computationally efficient approximations that capture the essential steering characteristics without requiring real-time access to extensive training data, enabling fast predictions with high accuracy.