Reactive-Proactive Suspension Control Under Data Interruptions
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Solution Overview
Problem
Existing vehicular systems face challenges in simultaneously operating in proactive and reactive modes, especially when there are interruptions in data access or localization precision, leading to potential conflicts between commands and adverse effects on ride quality and handling.
Innovation Solution
A combination reactive-proactive controller that dynamically transitions between proactive and reactive modes based on available data and localization precision, using a priori information from databases and real-time sensor data to adjust control commands and parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system operates in proactive mode using a priori information from databases, then ride quality and handling are improved, but the system becomes vulnerable to data interruptions and localization precision requirements
Solution Approach 1:
The controller dynamically switches between proactive and reactive modes based on the availability and quality of a priori information. When localization precision is sufficient and database communication is reliable, the system operates in proactive mode for optimal ride quality. When data interruptions occur or localization precision degrades below thresholds, the system transitions to reactive mode, making the control strategy adaptive to changing operational conditions
Solution Approach 2:
The system changes the control parameter (mode of operation) based on the quality of available information. By monitoring localization precision and database communication status, the controller adjusts its operational parameters to select between proactive and reactive control strategies, optimizing performance while tolerating data interruptions
2Measurement precision
If the system uses a priori information from remote databases, then control precision is improved, but communication interruptions and localization precision requirements worsen system reliability
Solution Approach 1:
The controller acts as an intermediary that mediates between proactive control (using a priori information) and reactive control (using real-time sensor data). When database communication is reliable and localization is precise, it prioritizes proactive control for higher precision. When communication interruptions occur or localization precision is insufficient, it transitions to reactive control as a fallback, ensuring continuous reliable operation
Solution Approach 2:
The system prepares for potential communication failures by having a reactive control mode ready as a cushioning fallback. This ensures that when database communication is interrupted or localization precision degrades, the system can seamlessly transition to using only real-time sensor data, maintaining reliability despite the loss of a priori information
Data Source
AI summary
Combination reactive-proactive controllers and their use are described herein. In a first mode of operation, such controllers may rely simultaneously both a priori information about a road surface ahead of the vehicle obtained from a data base and real time information collected by one or more on-board sensors. Alternatively, in a second mode, such controllers may rely only on real time information collected by one or more on-board sensors. Systems controlled by such controllers may include, but are not limited to, active suspension actuators.