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Model Predictive Control-Based Smart Linear Servo-Motor Driver for a Resonance Frequency Tuner of Azimuth Variable Field Cyclotrons

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The most important thing in the startup procedure or the long-term operation of radio frequency (RF) cyclotrons especially azimuth variable field (AVF) cyclotrons, is the resonance frequency stability of the… Click to show full abstract

The most important thing in the startup procedure or the long-term operation of radio frequency (RF) cyclotrons especially azimuth variable field (AVF) cyclotrons, is the resonance frequency stability of the cavities. Generally, servo-motors or stepper motors are used to adjust the tuners of cavities. Actually, proportional-integral-derivative (PID) controller-based servo-motor drivers have many problems for long-term operation, such as the tuner’s temperature dependence, shot noise, and so on. Our model predictive controller (MPC) or MPC-based smart linear servo-motor driver in a multi-input and single-output state, with artificial intelligence (AI), can solve usual and unusual problems in order to control the speed and/or position. In other words, the MPC is a progressive strategy of process control to control the process and provides satisfaction limitations. Additionally, this real-time controller can reduces the time needed for the startup procedure and minimizes the number of failures during long-term operation.

Keywords: variable field; frequency; control; servo motor; azimuth variable

Journal Title: Journal of the Korean Physical Society
Year Published: 2020

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