Improved gray prediction parameter identification sliding mode current control of experimental advanced superconducting tokamak fast control power supply

被引:0
|
作者
Chen, Zhao [1 ]
Huang, Haihong [1 ]
Wang, Haixin [1 ]
机构
[1] Hefei Univ Technol, Sch Elect Engn & Automat, Hefei, Peoples R China
基金
中国国家自然科学基金;
关键词
EAST FCPS; gray prediction; parameter identification; sliding mode control;
D O I
10.1002/cta.4183
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Experimental advanced superconducting tokamak (EAST) fast control power supply (FCPS) is an essential device to realize balance control of plasma vertical displacement during controllable nuclear fusion process. The primary control purpose of EAST FCPS is to quickly output current to track reference current. Change of load inductance parameters due to plasma motion poses higher robustness requirements for fast tracking control of output current. Therefore, an improved gray prediction parameter identification sliding mode control method is proposed to achieve fast tracking and robust control of output current under changes in load inductance parameters. Parameter identification sliding mode control method applied to identify load inductance parameters in real-time, accurate EAST FCPS output current tracking sliding mode control model is established. High-order terms are added to discrete exponential convergence reaching law, and a new smooth saturation function is designed to replace traditional sign function to achieve chattering suppression and accelerate system convergence speed. Gray prediction used in current sampling to achieve output current trajectory advanced prediction to further accelerate output current response speed. Four times equal interval time sampling within a fixed switching period and new information priority period by period prediction is proposed to improving gray prediction, achieving digital control delay compensation, and improving prediction accuracy of output current trajectory at abrupt edge. Simulation and experimental verification show that the proposed improved gray prediction parameter identification sliding mode control method has good output current tracking control performance under changes in load parameters. Compared with PI control method currently used in engineering, the proposed control method performs better in output current fast response and overshoot suppression. In this paper, to realize fast current tracking control when load parameter changes in EAST FCPS, improved grey prediction parameter identification sliding mode controlmethod is proposed by designed new reaching law in SMC and improved GM in output current prediction to achieve fast tracking and robust control of output current. image
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页数:22
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