Title :
Study on adaptive PID control of high-voltage power supply for ECRH based on Single Neuron
Author :
Pengying, Du ; Xiaoping, Luo
Author_Institution :
Key Lab. of Intell. Syst., Zhejiang Univ. City Coll., Hangzhou, China
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.
Keywords :
adaptive control; cyclotron resonance; high-voltage techniques; neurocontrollers; plasma radiofrequency heating; robust control; three-term control; ECRH; adaptive PID control; cyclotron; dynamic performance; electron cyclotron resonance heating; high-voltage power supply; intelligent digital control; nonlinear characteristics; robustness; self-learning; single neuron; static performance; Heating; Adaptive PID Control; ECRH; High Negative Voltage Power Supply; Single Neuron;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5619053