Vehicle Vibration Control Using ML-Based Actuator Feedback

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing solutions for vibration suppression in vehicles are static and do not adapt to real-time conditions, failing to fully utilize modern sensory systems and effectively mitigate vibrations across multiple areas of interest within a vehicle.

Innovation Solution

An electronic system utilizing a machine learning system to convert sensor data from environment and internal sensors into actuator settings, which are then transmitted to actuators to control vibrations and inertial forces at various areas of interest within a vehicle.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional static vibration suppression methods are used, then device complexity is reduced, but adaptability to real-time conditions deteriorates

Engineering Contradiction:

Improveadaptability to real-time conditionsVSAvoiddevice complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements dynamic vibration suppression by transitioning from static dampers to active control systems that continuously adjust actuator settings based on real-time sensor data and machine learning predictions, enabling the system to adapt to changing vibration conditions while managing complexity through intelligent control algorithms

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system employs feedback mechanisms by utilizing sensor data from microphones and other sensors to monitor vibrations, processing this data through machine learning systems to predict future vibrations, and adjusting actuator settings accordingly to actively counteract detected and predicted vibrations in real-time

Inventive Principle:

Principle #23Feedback

2Measurement precision

If modern sensory systems are fully utilized, then measurement precision is improved, but device complexity increases

Engineering Contradiction:

Improvevibration measurement precisionVSAvoiddevice complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies multi-functionality by utilizing existing modern sensory systems in vehicles (microphones, cameras, other sensors) for multiple purposes including vibration detection, road condition monitoring, and predictive analysis, thereby improving measurement precision without proportionally increasing device complexity through dedicated vibration sensors alone

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system enables self-service by using the vehicle's existing sensory infrastructure to serve vibration suppression functions, leveraging already-installed sensors and processing systems to reduce the need for additional specialized components while achieving precise vibration measurement and control

Inventive Principle:

Principle #25Self-service

3Productivity

If static dampers are used, then ease of manufacture is improved, but productivity in vibration suppression deteriorates

Engineering Contradiction:

Improvevibration suppression effectivenessVSAvoidease of manufacture

Core Design Contradiction:

ProductivityVSEase of manufacture

Solution Approach 1:

The patent replaces passive mechanical dampers with an active control system that uses sensors, machine learning processors, and actuators to dynamically counteract vibrations, significantly improving vibration suppression effectiveness by predicting and counteracting vibrations before they occur rather than merely absorbing them statically

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

The system effectively reduces vibrations and inertial forces, improving passenger comfort, reducing fatigue, and enhancing vehicle durability by dynamically adapting to changing conditions.

Implementation Method 1

convert, by means of a machine learning system, the input data into actuator settings

Methodology Applied

Scientific EffectMachine learning processing:

Implementation Method 2

generating anti-cyclic vibrations to be output via actuators to cancel out or counteract the effects of the vibrations

Methodology Applied

Scientific EffectAnti-cyclic vibration generation: Vibration

Data Source

PatentUS20250136126A1System, method and computer program to suppress vibrations in a vehicle

Publication Date: 2025.05.01 SONY GROUP CORP

AI summary

An electronic system for controlling vibrations and/or inertial forces occurring at a plurality of areas of interest within an operating vehicle. The electronic device comprises circuitry configured to receive input data comprising sensor data from one or more environment sensors and/or one or more internal sensors; convert, by means of a machine learning system, the input data into actuator settings; and transmit the actuator settings to one or more actuators to control vibrations and/or inertial forces occurring at each of the plurality of areas of interest within the vehicle.