3D Knob Tactile Gain Control for Aerial Vehicles
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Solution Overview
Problem
Aerial vehicle input devices, such as knobs or rotary dials, face challenges in precision and speed of parameter adjustment due to gain settings being either too large or too small, affecting user control over parameters like heading, altitude, and cabin temperature.
Innovation Solution
A three-dimensional knob with touch sensors detects finger placement to determine a height-based gain, allowing for dynamic adjustment of parameters like heading, altitude, and cabin temperature, enabling precise and efficient control through a method that calculates gain based on finger placement height.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a large gain is associated with the input device, then it can adjust the parameter over a wide range of values quickly, but the user cannot control the parameter with appropriate precision
Solution Approach 1:
The gain is made dynamic rather than fixed. The system automatically adjusts the gain value based on the current parameter value, using a higher gain when the parameter is far from the target to enable quick adjustment, and a lower gain when the parameter is close to the target to enable precise control. This resolves the contradiction by making the gain adaptive to the operational context.
Solution Approach 2:
The gain parameter is changed dynamically based on the current state of the parameter being controlled. The system monitors the parameter value and adjusts the gain accordingly, transitioning between high-gain and low-gain modes to optimize both speed and precision at different stages of parameter adjustment.
2Measurement precision
If a small gain is associated with the input device, then the user can control the parameter with appropriate precision, but it takes too long to adjust the parameter over a wide range of values
Solution Approach 1:
The gain is made dynamic rather than fixed. The system automatically adjusts the gain value based on the current parameter value, using a higher gain when the parameter is far from the target to enable quick adjustment, and a lower gain when the parameter is close to the target to enable precise control. This resolves the contradiction by making the gain adaptive to the operational context.
Solution Approach 2:
The gain parameter is changed dynamically based on the current state of the parameter being controlled. The system monitors the parameter value and adjusts the gain accordingly, transitioning between high-gain and low-gain modes to optimize both speed and precision at different stages of parameter adjustment.
Data Source
AI summary
One example aspect of the present disclosure relates to a method for receiving input. The method can include receiving, by one or more processors, data indicative of finger placement on a three dimensional knob that is associated with a parameter. The method can include determining, by the one or more processors, a height associated with the data indicative of finger placement. The method can include determining, by the one or more processors, a gain associated with the parameter based on the height. The method can include receiving, by the one or more processors, a signal indicative of an adjustment to the parameter. The method can include causing, by the one or more processors, an adjustment to the parameter based on the determined gain and the signal indicative of an adjustment to the parameter.