Model Train Smoke and Sound Control via Motor Load
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Solution Overview
Problem
Current model train sound and smoke generating systems do not accurately simulate the effects of varying loads, such as climbing a hill or pulling multiple cars, as they rely solely on speed rather than actual motor load, leading to unrealistic sound and smoke outputs.
Innovation Solution
A system and method that uses motor load data to generate corresponding sounds and smoke by collecting calibration data during test conditions and comparing it to real-time motor load data, allowing the controller to adjust the smoke and sound modules accordingly, using PWM data to estimate the load and control the features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If speed-based control is used for smoke and sound generation, then the system is simple to operate, but the simulation accuracy of load conditions deteriorates
Solution Approach 1:
The patent changes the control parameter from speed to motor load (measured via PWM data). Instead of controlling smoke and sound based solely on speed, the system now uses motor load data which reflects actual working conditions including uphill climbs, downhill coasting, and varying track resistance. This parameter change resolves the contradiction by providing accurate load simulation while maintaining ease of operation through automatic controller management.
Solution Approach 2:
The patent implements feedback by continuously monitoring motor load through PWM data and using this information to dynamically adjust smoke and sound output. The controller reads actual motor load conditions and feeds this information back to the smoke and sound modules, ensuring they respond accurately to real-time load variations rather than relying on pre-programmed speed-based responses.
2Measurement precision
If calibration data collection and comparison system is implemented, then the simulation accuracy improves, but the device complexity increases
Solution Approach 1:
The patent applies preliminary action by collecting and storing calibration data during manufacturing or initial setup. The calibration data, which contains the relationship between PWM values and motor load at various speeds, is stored in memory before the model train enters service. This preliminary data collection eliminates the need for complex real-time calculations during operation, as the controller simply compares current PWM readings against pre-stored calibration values to determine load conditions.
Solution Approach 2:
The patent uses copying by storing calibration data in memory that replicates the motor load characteristics under various operating conditions. Instead of implementing complex physical sensors to directly measure motor load, the system creates a digital copy of load characteristics through PWM data comparison. This copying approach simplifies the physical device while maintaining simulation accuracy.
Data Source
AI summary
A system and method is provided for using load data to control a feature in a model vehicle. In one embodiment of the present invention, a model vehicle includes a controller in communication with a remote control, a motor module, a smoke module, a sound module, and a memory device. While the model vehicle is operated under test conditions, calibration data is collected and stored in the memory device. While the model vehicle is operated under normal conditions, the controller receives a speed step instruction from the remote control and instructs the motor module to operate the motor at a corresponding speed. The data used to propel the model vehicle at the corresponding speed it then provided to the controller, where it is compared to the calibration data to identify a delta therebetween. The delta is then used by the controller to control, for example, the smoke and sound modules.