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An LMS Programming Scheme and Floating-Gate Technology Enabled Trimmer-Less and Low Voltage Flame Detection Sensor
Juan Carlos Iglesias-Rojas1, Felipe Gomez-Castañeda2, Jose Antonio Moreno-Cadenas3
1Department of Communications and Electronics, National Polytechnic Institute, Mexico City 07738, Mexico. jiglesias@ipn.mx.
A novel trimmer-less flame detection sensor utilizes a Least Mean Square (LMS) programming scheme to precisely set operational amplifiers. This innovation accurately detects flames using electron injection, improving upon traditional methods.
Area of Science:
- Electronics
- Sensor Technology
- Semiconductor Devices
Background:
- Commercial flame detectors often require high voltage AC sources and mechanical trimmings for accurate flame detection.
- Existing flame detection systems are primarily used in absorption refrigerators and industrial gas heaters.
Purpose of the Study:
- To develop a trimmer-less flame detection sensor with high accuracy and a wide offset voltage adjustment range.
- To implement a Least Mean Square (LMS) programming scheme for precise offset voltage control in operational amplifiers.
Main Methods:
- Utilized floating-gate transistors to construct two operational amplifiers.
- Employed an LMS programming scheme with electron injection to set the offset voltage of the amplifiers.
- Designed a flame detection sensor integrating a voltage follower and a voltage comparator, both with programmable offset voltages.
Main Results:
- Achieved a 0.95 VRMS trimmer-less flame detection sensor.
- Demonstrated accurate flame presence measurement after a maximum of 35 LMS-algorithm iterations.
- The sensor operates based on detecting electrical changes from flame ionization.
Conclusions:
- The proposed LMS-programmed, floating-gate operational amplifier-based sensor offers a precise and trimmer-less solution for flame detection.
- This approach simplifies flame detection systems, potentially reducing complexity and cost compared to conventional methods.
- The sensor's ability to accurately measure flame presence with minimal iterations highlights its practical applicability.
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