Abstract
The high negative voltage power supply for the ECRH(Electron Cyclotron Resonance Heating) is a key component of the cyclotron. Aiming at the nonlinear characteristics, and the high requirements on static and dynamic performance of the system, Single Neuron Adaptive PID (SNAPID)control method with self-learning is proposed. The results show that the system have good dynamic and static performance with strong robustness and adaptive capacity. This control method is not only a new control strategy for high-performance negative high-voltage power supply, but also lays the foundation for the intelligent digital control of this system.
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