A 0.3MV accelerator mass spectrometer based on differential evolution algorithm was used for automatic beam tuning

Abstract: Aiming at the complex beam commissioning task of a 0.3 MV compact accelerator mass spectrometer (Compact Accelerator
Mass Spectrometer, AMS), which is time-consuming and hard to optimize manually, a novel autotuning method combining the
Experimental Physics and Industrial Control System (EPICS) and the Differential Evolution (DE) algorithm is proposed. An intelligent
optimization algorithm core module is developed in Python and connected to the EPICS control framework via PyEpics for efficient
data interaction, forming a complete automatic beam commissioning system. The system automatically tunes the power supply voltage
and current, thereby adjusting the key parameters such as magnetic field strength, electrode voltage, and beam current. The DE
algorithm dynamically adjusts population parameters for space search guided by real-time beam current feedback under equipment
safety constraints. Experiments show that this method reduces the average convergence time from 2.5 hours (manual tuning) to 30
minutes, increases the optimization success rate from 60% (traditional methods) to over 90%, and stabilizes the optimal beam current
at 95% of the theoretical maximum. This approach significantly shortens the tuning time and enhances the stability and efficiency of
the accelerator, offering substantial industrial value.