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An Amplifier-Less Acquisition Chain for Power Measurements in Series Resonant Inverters.
Jorge Villa1, José I Artigas2, Luis A Barragán3
1Department of Electronic Engineering and Communications, I3A, Universidad de Zaragoza, María de Luna 1, 50018 Zaragoza, Spain. jvillal@unizar.es.
This study introduces a digital correction method to improve the performance of successive approximation register (SAR) analog-to-digital converters (ADCs) without a driver amplifier. This approach enhances conversion speed and accuracy while reducing system costs.
Area of Science:
- Electrical Engineering
- Signal Processing
- Power Electronics
Background:
- Successive approximation register (SAR) analog-to-digital converters (ADCs) typically require driver amplifiers for optimal performance.
- The absence of a driver amplifier significantly limits conversion speed due to settling time constraints.
- Reducing component count in acquisition chains is desirable for cost, size, and power efficiency.
Purpose of the Study:
- To propose a digital correction method for SAR ADCs that compensates for the lack of a driver amplifier.
- To enhance both conversion speed and accuracy in data acquisition systems without driver amplifiers.
- To enable cost-effective and compact conditioning circuits for applications like induction heating.
Main Methods:
- A novel digital correction algorithm is developed to address settling time limitations.
- The proposed method is integrated into a measurement system for a series resonant inverter.
- Performance evaluation focuses on conversion speed and accuracy metrics.
Main Results:
- The digital correction method effectively mitigates the performance penalties associated with omitting a driver amplifier.
- Achieved improvements in conversion speed and/or accuracy are demonstrated.
- The method allows for reduced system complexity and cost.
Conclusions:
- A simple digital correction technique can significantly improve SAR ADC performance without a driver amplifier.
- This method offers a viable solution for cost-sensitive applications, such as domestic induction heating power measurement.
- The findings contribute to the design of more efficient and economical data acquisition systems.
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