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

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.