Lane Centering Control Tuning for EPS Steering Delay

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Solution Overview

Problem

Current automated driving assistance systems (ADAS) face challenges in accurately tracking steering angles due to delays in the electronic power steering (EPS) system, leading to suboptimal lane centering performance and driver comfort issues, particularly evident in low-frequency oscillations during lane centering operations.

Innovation Solution

A method is developed to enhance ADAS systems by obtaining in-vehicle test data to determine a second-order transfer function modeling EPS dynamics, creating a simulation environment to simulate the system, and adjusting feedforward and feedback contributions to improve steering angle tracking and lane centering performance through system identification and parameter tuning.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional iterative in-vehicle testing is used to tune ADAS parameters, then system reliability can be improved through empirical optimization, but development time and complexity increase significantly

Engineering Contradiction:
Improvesteering angle tracking accuracyVSAvoiddevelopment time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent applies preliminary action by developing a simulation environment and determining transfer functions before actual in-vehicle testing. The methodology involves creating virtual models of the EPS system and ADAS controller, then tuning parameters in the simulation environment first. This preliminary simulation-based parameter tuning reduces the need for extensive iterative in-vehicle testing, thereby decreasing development time while maintaining reliability improvement goals.

Inventive Principle:
Principle #10Preliminary action

2Manufacturing precision

If extensive iterative in-vehicle testing is performed to optimize lane centering, then manufacturing precision of control parameters improves, but device complexity and testing resources increase

Engineering Contradiction:
Improvecontrol parameter optimizationVSAvoidtesting system complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent applies copying by creating a virtual copy of the ADAS system through simulation environments. Instead of directly testing and tuning parameters in the actual vehicle through extensive iterative testing, the methodology creates digital models and transfer functions that replicate the system behavior. Parameter optimization is performed on these copies first, then validated with minimal actual vehicle testing, thereby achieving manufacturing precision while reducing device complexity and testing resource requirements.

Inventive Principle:
Principle #26Copying

3Productivity

If simulation-based parameter tuning is used before in-vehicle testing, then development efficiency improves, but model accuracy requirements increase

Engineering Contradiction:
Improvedevelopment efficiencyVSAvoidtransfer function accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent applies feedback by establishing a closed-loop process where simulation results are continuously compared with actual in-vehicle test data. The methodology involves determining transfer functions from real vehicle data, using these to build simulation models, tuning parameters in simulation, then validating and refining the models based on actual testing feedback. This iterative feedback mechanism ensures model accuracy improves to match the required measurement precision while maintaining high development efficiency through simulation-based tuning.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS12258014B2Vehicular control system with enhanced lane centering
Publication Date: 2025.03.25 MAGNA ELECTRONICS INC
  • US12258014B2 patent drawing
  • US12258014B2 patent drawing
  • US12258014B2 patent drawing

AI summary

A method for enhancing a vehicular driving assistance system includes obtaining in-vehicle test data representative of performance of the vehicular driving assistance system of a vehicle during operation of the vehicular driving assistance system and determining, using the in-vehicle test data, a second order transfer function that models operation of the vehicular driving assistance system. The second order transfer function matches a magnitude response of the in-vehicle test data. The method includes providing a simulation environment. The simulation environment simulates the vehicular driving assistance system using the second order transfer function. The method includes determining, using the simulation environment, a feedforward contribution and a feedback contribution of the vehicular driving assistance system, and enhancing the vehicular driving assistance system based on adjustment of the feedforward contribution and the feedback contribution of the vehicular driving assistance system.