Semi-Autonomous Steering for Power Equipment Path Precision

The system continuously acquires position location data from GPS receivers and feeds this information back to the processing device, which compares actual position against the desired path and generates corrective steering commands. This closed-loop feedback mechanism enables precise path following while managing system complexity through iterative correction rather than overly complex open-loop control algorithms.

The patent replaces traditional mechanical steering linkages and hydraulic systems with an electronic control system that uses GPS position data and processed control signals to actuate the steering mechanism. This substitution reduces mechanical complexity while improving path following precision through electronic sensing and control.

The system implements semi-autonomous rather than fully autonomous steering, providing just enough automation to reduce operator fatigue in typical operating conditions. The operator retains final control authority and can override the automated system when needed, balancing automation benefits with operational simplicity and avoiding the complexity of fully autonomous decision-making systems.

The steering system automatically acquires its own position location data using onboard GPS receivers and independently processes this information to generate steering corrections without requiring external guidance input. This self-service capability reduces the burden on the operator while maintaining system reliability through autonomous operation.

The system acquires position location data at periodic intervals rather than continuously, with the frequency adjusted based on operating conditions such as vehicle speed and path curvature requirements. This periodic sampling approach maintains adequate path deviation detection accuracy while significantly reducing energy consumption compared to continuous high-frequency acquisition.

The system dynamically adjusts the position data acquisition frequency as a variable parameter based on operational context. During high-speed operation or when large path deviations are detected, the acquisition rate increases to improve correction accuracy. During steady-state operation with minimal deviation, the rate decreases to conserve energy, optimizing the balance between precision and energy consumption.