Vehicle Guidance System Dynamic Gain Adjustment
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Solution Overview
Problem
Current vehicle control systems, tuned for worst-case conditions, result in sub-optimal performance in more ideal conditions due to the use of conservative gains, which are not necessary for stability in such scenarios.
Innovation Solution
A vehicle guidance system that adjusts steering system gains in real-time based on a stability indicator calculated from yaw rate, lateral position error, and heading angle error, allowing for optimal performance adaptation to current operating conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If conservative gains are used to ensure vehicle stability in worst-case conditions, then vehicle stability is improved, but system performance in ideal conditions deteriorates
Solution Approach 1:
The patent implements dynamic gain adjustment where the control system transitions from static conservative gains to dynamic adaptive gains. The processor continuously monitors vehicle state (lateral position, heading angle, yaw rate) and adjusts steering system gains in real-time based on current operating conditions. This allows the system to achieve optimal performance in ideal conditions while maintaining adequate stability margins, resolving the contradiction between stability and performance.
Solution Approach 2:
The patent changes the control parameters (gains) based on the vehicle's operational state. By calculating a stability indicator from measured vehicle parameters and adjusting gains proportionally to this indicator, the system adapts its control characteristics to match actual stability requirements. This parameter adaptation enables high performance when stability risks are low while maintaining stability when risks increase.
2Productivity
If real-time stability monitoring and dynamic gain adjustment is implemented, then system performance is optimized, but device complexity increases
Solution Approach 1:
The patent makes the processor perform multiple functions: it processes guidance commands, monitors vehicle state parameters, calculates the stability indicator, and adjusts control gains. By consolidating these functions in a single processing unit rather than adding separate dedicated hardware for each function, the system achieves dynamic performance optimization without proportionally increasing overall device complexity.
Solution Approach 2:
The patent implements a feedback loop where the processor continuously monitors vehicle lateral position, heading angle, and yaw rate, compares these against reference values, calculates a stability indicator, and adjusts gains accordingly. This closed-loop feedback mechanism enables automatic adaptation to changing conditions without requiring complex manual intervention or multiple independent control systems.
Data Source
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AI summary
In an example embodiment, a vehicle control system includes a memory including computer-readable instructions stored therein and a processor. The processor configured to execute the computer-readable instructions to receive information corresponding to, a yaw rate of a vehicle, a lateral position of the vehicle and a heading angle of the vehicle, determine a stability indicator indicating an estimate of a stability of the vehicle based on the received information, and adjust one or more gains of a steering system of the vehicle based on the determined stability indicator.