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A PID control approach for time constant adaptation in digital multi-channel pulse amplitude analyzer
Jiexiang Li1, Yuguang Ye1, Hong Zou2
1State Key Laboratory of Lunar and Planetary Sciences, Macao University of Science and Technology, Avenida Wai Long, 999078, Taipa, Macao Special Administrative Region of China.
This study introduces an automatic tuning method using Proportional-Integral-Derivative (PID) control to optimize shaping parameters in digital multi-channel analyzers. The PID algorithm enhances signal resolution and energy accuracy, improving measurement reliability in nuclear radiation analysis.
Area of Science:
- Nuclear Instrumentation
- Signal Processing
- Control Systems Engineering
Background:
- Improper shaping parameter settings in digital multi-channel analyzers degrade signal resolution and energy accuracy.
- Analog front-end circuitry drift can impact long-term measurement reliability.
Purpose of the Study:
- To develop an automatic tuning method for optimizing shaping parameters in digital multi-channel analyzers.
- To enhance signal resolution, energy accuracy, and measurement stability.
Main Methods:
- Implemented a Proportional-Integral-Derivative (PID) control algorithm for automatic parameter tuning.
- Utilized the difference between trapezoidal pulse flat-top endpoints as the error input for PID control.
- Theoretically analyzed the monotonic relationship between endpoint difference and shaping parameter M for convergence.
Main Results:
- The proposed PID method demonstrated stability and effectiveness in multi-channel systems.
- Achieved an 11.01% improvement in Full Width at Half Maximum (FWHM) compared to fixed parameters.
- Maintained consistent peak heights despite analog front-end circuitry drift.
Conclusions:
- The automatic PID tuning method provides a stable and effective solution for optimizing shaping parameters.
- Significantly improves measurement reliability and mitigates the effects of analog front-end variations.
- Suitable for nuclear radiation signal processing and analysis applications.
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