Motorcycle Simulator Tilt Control for Variable Riding Resistance

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Solution Overview

Problem

Conventional motorcycle simulators lack realism due to constant spring tension, failing to simulate varying riding sensations based on driving parameters like speed and handlebar position.

Innovation Solution

A motorcycle simulator with a movable handlebar and frame articulately connected to a supporting structure, regulated by an electric motor and electronic control circuit, analyzing driving parameters to dynamically adjust frame inclination and resistance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If spring tension is used to provide resistance, then the structure is simple and reliable, but the tension remains constant and cannot vary with driving parameters

Engineering Contradiction:
Improvevariability of resistanceVSAvoidstructure complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent replaces static spring tension with a dynamic electric motor system that can adjust resistance in real-time based on monitored driving parameters such as handlebar position, throttle grip position, and brake lever position. The motor's torque output varies dynamically to simulate different riding conditions, transforming a static resistance mechanism into an adaptive one.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent substitutes the purely mechanical spring-based resistance system with an electromechanical system. The electric motor, controlled by an electronic circuit that processes sensor inputs, replaces the passive mechanical spring to provide active, parameter-dependent resistance, thereby enabling variability while managing complexity through electronic control.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If the pivot axis is located at floor level, then the structure is stable, but the riding sensations are unrealistic

Engineering Contradiction:
Improvestructural stabilityVSAvoidriding sensation realism
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent relocates the pivot axis from floor level (vertical dimension) to a higher position near the handlebar level (horizontal dimension). This dimensional shift allows the motorcycle assembly to rotate more naturally around a realistic axis, improving riding sensation realism while the electronic control system maintains structural stability through active regulation of motor torque.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent introduces an electronic control circuit as an intermediary between the mechanical structure and the user's riding inputs. This intermediary processes sensor data from multiple riding parameters and dynamically adjusts motor output to maintain stable yet realistic riding sensations, bridging the gap between structural stability and sensation authenticity.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If multiple sensors are added to monitor driving parameters, then the control precision is improved, but the device complexity increases

Engineering Contradiction:
Improvedriving parameter detection accuracyVSAvoidsensor and control circuit complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent employs a multi-functional electronic control circuit that simultaneously performs multiple tasks: reading inputs from multiple sensors (handlebar position, throttle grip, brake lever, gear shift pedal), calculating driving parameters, controlling the electric motor's torque output, and monitoring frame inclination. This universal controller consolidates multiple functions into a single integrated system, improving measurement precision while limiting complexity growth through functional integration.

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

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

Provides highly realistic riding sensations by dynamically adjusting frame inclination and resistance based on driving parameters, enhancing user experience.

Implementation Method 1

at least one electric motor is provided, by means of which the inclination of the motorcycle frame is regulated

Methodology Applied
Scientific EffectElectromagnetic force: Lorentz Force

Implementation Method 2

the control circuit is associated with a plurality of sensors installed on the throttle grip, brake lever, brake pedal, clutch, gear shift pedal, and handlebar, to identify the relative position of each of these elements

Methodology Applied
Scientific EffectSensor detection:

Data Source

PatentEP4712061A1Motorcycle simulator
Publication Date: 2026.03.18 SIMRACING DH S L U
  • EP4712061A1 patent drawingFigure 1~2
  • EP4712061A1 patent drawingFigure 3
  • EP4712061A1 patent drawingFigure 4

AI summary

Motorcycle simulator, consisting of a frame on which a motorcycle fairing is mounted. Said frame includes footrests with the corresponding gear shift pedal and brake pedal, as well as an angularly movable handlebar equipped with a throttle grip, brake lever, and clutch lever. The frame is rigidly connected to a horizontal and longitudinal profile, which is joined by bearings or bushings to a pair of uprights on which it can tilt, these being associated with a base structure. The horizontal profile is connected, through at least one of its ends, to at least one electric motor controlled by a control circuit. This control circuit is associated with several sensors, specifically: a throttle grip sensor, brake lever sensor, brake pedal sensor, handlebar sensor, clutch sensor, gear shift pedal sensor, and frame inclination sensor. The control circuit includes means for activating the electric motor based on the parameters obtained from the various sensors.