Steering Angle Controller Multi-Algorithm Adaptation

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Solution Overview

Problem

Existing steering systems in autonomous and assisted driving vehicles fail to provide an optimal driving sensation, as they lack the ability to adapt to different driving behaviors and conditions, such as speed, load, and driving situations, leading to an inconsistent driving experience.

Innovation Solution

A steering angle controller with a memory unit storing multiple control algorithms that can be manually or dynamically selected based on driving state variables, allowing for the adjustment of driving behavior to achieve a sporty or comfortable experience by influencing the yaw behavior of the vehicle.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a single control algorithm is used in the steering angle controller, then the device complexity is reduced, but the adaptability to different driving behaviors and conditions deteriorates

Engineering Contradiction:
Improveadaptability to different driving behaviorsVSAvoidcontroller structure complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The steering angle controller dynamically switches between multiple control algorithms based on detected driving state variables (speed, acceleration, load). The controller transitions from a static single-algorithm design to a dynamic multi-algorithm system that adapts its control strategy in real-time according to the current driving conditions, thereby improving adaptability without requiring a completely redesigned complex system.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The controller changes its operational parameters by selecting different control algorithms based on threshold comparisons of driving state variables. When variables such as speed or acceleration exceed certain thresholds, the controller switches to appropriate algorithms that reflect sporty or comfortable driving behaviors, enabling parameter-based adaptation to different driving scenarios.

Inventive Principle:
Principle #35Parameter changes

2Adaptability or versatility

If multiple control algorithms are stored in memory for different driving conditions, then the adaptability improves, but the device complexity increases

Engineering Contradiction:
Improvedriving behavior adaptationVSAvoidmemory and control algorithm management
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The control algorithm set is segmented into multiple distinct algorithms stored in memory, each optimized for specific driving conditions (sporty, comfortable, or neutral behaviors). This segmentation allows the controller to store and manage different control strategies separately, improving adaptability while organizing the complexity into manageable, discrete algorithm modules that can be independently selected based on driving state variables.

Inventive Principle:
Principle #1Segmentation

3Ease of operation

If the control algorithm is manually selected, then the driver's control and driving sensation are improved, but the automation level deteriorates

Engineering Contradiction:
Improvedriver control over driving sensationVSAvoidautomatic algorithm selection
Core Design Contradiction:
Ease of operationVSExtent of automation

Solution Approach 1:

The steering angle controller is designed with multi-functionality to serve both manual and automatic operation modes. It can operate in manual selection mode where the driver directly chooses the control algorithm, or in automatic mode where the controller autonomously selects algorithms based on detected driving state variables. This universal design allows the same controller to adapt to different user preferences and automation requirements.

Inventive Principle:
Principle #6Universality (Multi-functionality)

4Speed

If the control algorithm is automatically selected based on driving state variables, then the responsiveness to driving conditions is improved, but the measurement and detection requirements deteriorate

Engineering Contradiction:
Improveresponse speed to driving conditionsVSAvoiddriving state variable detection
Core Design Contradiction:
SpeedVSDifficulty of detecting and measuring

Solution Approach 1:

The controller implements feedback mechanisms by continuously detecting driving state variables (speed, acceleration, load) and using this information to automatically select appropriate control algorithms. The feedback loop ensures rapid response to changing driving conditions, with the controller monitoring sensor inputs and adjusting algorithm selection in real-time to maintain optimal steering assistance characteristics.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS10766527B2Steering angle controller
Publication Date: 2020.09.08 VOLKSWAGEN AG
  • US10766527B2 patent drawing

AI summary

A steering angle controller which controls an actual value to a desired value, wherein the steering angle controller outputs, as an output signal, an actuating signal for power electronics to control an electric servo motor, wherein the actual value is a steering angle or a measurement variable corresponding to the steering angle and the desired value is a steering angle request or measurement variable request, wherein the steering angle controller is assigned at least one memory which stores at least two different control algorithms.