Adaptive Directional Control System for Vehicle Dynamics
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Solution Overview
Problem
Conventional directional control systems for vehicles are expensive to manufacture and require extensive testing and adjustment for each vehicle type, and conventional adaptive techniques are slow to adapt to changing vehicle dynamics, leading to accuracy and stability issues.
Innovation Solution
A directional control system that includes a logic device and sensors to determine nominal vehicle feedback, which adjusts directional control signals to match actual vehicle dynamics, allowing for adaptive training across various vehicles and changing conditions, including a nominal vehicle feedback system that can adaptively train to different vehicles in a short period.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional directional control systems are designed and configured for a particular vehicle, then directional control accuracy is improved, but manufacturing cost and testing time increase significantly
Solution Approach 1:
The control system performs self-identification and self-calibration by automatically detecting vehicle characteristics and adjusting control parameters without requiring manual testing and adjustment for each vehicle, thereby reducing testing time while maintaining accuracy
Solution Approach 2:
The system dynamically adjusts control parameters based on identified vehicle characteristics, enabling the same hardware to adapt to different vehicle types and maintain directional control accuracy without extensive reconfiguration
2Adaptability or versatility
If conventional adaptive techniques are used to adjust to vehicle dynamics, then adaptability to different vehicles is improved, but training time becomes excessively long
Solution Approach 1:
The system performs rapid vehicle identification and parameter calibration during a brief initial period, preparing the control system in advance for accurate operation, thereby reducing the overall training time while maintaining adaptability
Solution Approach 2:
The system uses real-time feedback from sensors to continuously monitor vehicle dynamics and adjust control parameters, enabling fast adaptation to different vehicle types through closed-loop learning rather than prolonged open-loop training
3Loss of time
If conventional adaptive techniques train to limited vehicle states, then training time is reduced, but control accuracy and stability deteriorate when conditions change
Solution Approach 1:
The system implements dynamic adaptation that allows the controller to adjust to changing vehicle conditions in real-time, maintaining stability and accuracy across varying operating conditions rather than being limited to pre-trained states
Data Source
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AI summary
Techniques are disclosed for systems and methods to provide stabilized directional control for a vehicle. A directional control system for an embodiment may include a logic device adapted to receive directional data about a vehicle and determine nominal vehicle feedback from the directional data. The nominal vehicle feedback may be used to adjust a directional control signal provided to an actuator of a vehicle. The directional control signal may be limited to a value below an actuator rate limit before a directional control signal is adjusted by the nominal vehicle feedback. A directional control system may include a logic device, a memory, one or more sensors, one or more actuators/controllers, and modules to interface with users, sensors, actuators, and/or other modules of a vehicle.