Discussion Overview
The discussion revolves around detecting missing teeth on a 60-1 or 60-2 encoder wheel using an Arduino and a variable reluctance (VR) sensor. Participants explore the logic and methods for accurately determining position based on the gaps created by the missing teeth, considering varying wheel speeds and the implications for ignition and fuel injector control.
Discussion Character
- Exploratory
- Technical explanation
- Debate/contested
- Mathematical reasoning
Main Points Raised
- One participant expresses uncertainty about how to detect missing teeth and trigger events based on this detection.
- Another suggests that if the wheel spins at a constant rate, the time between detected teeth can be recorded, and larger gaps may indicate missing teeth, but notes that varying speeds complicate the logic.
- A participant emphasizes the need for a second detection channel to reliably find the home position, arguing that a single channel would lead to cumulative errors in counting and position detection.
- Some propose using a wheel with all 60 teeth and two quadrature detectors to improve resolution, suggesting that home position detection should match the main count resolution.
- One participant mentions that higher resolution can be achieved by analyzing the detector signal waveform, although they acknowledge potential challenges with processing power.
- Another participant discusses the possibility of generating a pulse train with a single detector and a wheel with missing teeth, indicating that the gap could serve as a home position marker.
- A later reply suggests that the tooth following the missing teeth could be the home position, noting the processing capabilities of the Arduino for handling pulse detection at high RPMs.
Areas of Agreement / Disagreement
Participants do not reach a consensus on the best method for detecting missing teeth, with multiple competing views and approaches presented throughout the discussion.
Contextual Notes
Participants mention the need for testing to determine the relevance of harmonic components and the limitations of processing power when analyzing signal waveforms.
Who May Find This Useful
Individuals interested in engine control systems, sensor integration, or those working with Arduino in applications involving position detection and signal processing may find this discussion relevant.