Dual-Input Motorcycle Simulator Steering for Realistic Cornering
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Solution Overview
Problem
Existing motorcycle simulators rely on single-input steering methods that fail to replicate real-life centripetal forces, leading to imprecise control and a lack of realism, especially in cornering maneuvers, and are often costly, limiting accessibility to a narrow user base.
Innovation Solution
A dual-input steering system integrating lean and handlebar steering inputs, combined with an adjustable counter force system and customizable springs, along with dynamic throttle and brake responses, to enhance control and realism, making it accessible to a wider audience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single-input steering method is used, then the system is simpler and less costly, but the control precision and realism are insufficient
Solution Approach 1:
The patent combines two separate steering input methods (lean angle input from the pivotable frame and handlebar steering input from rotational sensors) into a unified dual-input steering system. This merging of multiple input sources enhances control precision by providing both coarse lean-based steering and fine handlebar adjustments, while the integrated processor synthesizes these inputs into cohesive steering commands.
Solution Approach 2:
The processor acts as an intermediary that receives signals from both the lean angle sensor and handlebar rotational sensors, processes them through a blending algorithm, and outputs a unified steering response. This intermediary processing layer allows the system to maintain simplicity in individual components while achieving complex control precision through integrated processing.
2Reliability
If a dual-input steering system with sensors and processors is implemented, then control precision and realism are improved, but the cost and device complexity increase
Solution Approach 1:
The patent replaces complex mechanical steering mechanisms with sensor-based detection and electronic control. Instead of relying solely on mechanical linkages to transmit steering input, the system uses lean angle sensors and rotational position sensors to detect user input, then employs a processor to generate appropriate steering responses. This substitution maintains or improves realism while reducing mechanical complexity.
Solution Approach 2:
The system dynamically adjusts steering parameters based on detected lean angle and handlebar position. The processor modifies steering response characteristics in real-time based on the current state of the motorcycle simulation, such as adjusting steering sensitivity or response magnitude according to lean angle, thereby enhancing realism without requiring complex fixed mechanical systems.
3Measurement precision
If the steering response magnitude is increased for better control, then cornering precision improves, but the system becomes more sensitive and harder to control
Solution Approach 1:
The patent implements a dynamic steering response system where the processor adjusts the magnitude of steering corrections based on the current lean angle and handlebar position. During cornering maneuvers, the system increases steering response magnitude to improve precision, while reducing sensitivity during upright positioning to maintain ease of operation. This dynamic adaptation allows the system to optimize both cornering precision and operational ease across different riding conditions.
Solution Approach 2:
The system continuously monitors lean angle and handlebar position through sensors, feeding this information back to the processor. The processor uses this feedback to intelligently control the steering response magnitude, increasing it when needed for precision cornering and reducing it when ease of operation is prioritized. This closed-loop feedback mechanism enables the system to automatically balance between cornering precision and control sensitivity.
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 provides precise and realistic motorcycle simulation experiences, adaptable to various skill levels, enhancing playability and accessibility, and reducing costs, making it suitable for both professional and personal use.
Implementation Method 1
a pivotable frame configured to pivot about a roll axis to simulate lean dynamics of a motorcycle
Implementation Method 2
a counter force system comprising a plurality of springs positioned beneath the pivot frame. These springs, customizable via different methods, counteract the rotational force generated by the rider's weight
Implementation Method 3
handlebars equipped with rotational position sensors (potentiometers)
Data Source
AI summary
A motorcycle simulator apparatus has a control interface with lean and handlebar steering inputs for sensing lean and handlebar steering actions, respectively; and a processor configured to process signals from the lean and handlebar steering inputs and to output a steering response signal of a motorcycle within a simulation.