Improved gray prediction parameter identification sliding mode current control of experimental advanced superconducting tokamak fast control power supply
IF 1.8 3区 工程技术Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
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引用次数: 0
Abstract
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.
先进超导托卡马克实验装置(EAST)快速控制电源(FCPS)是在可控核聚变过程中实现等离子体垂直位移平衡控制的重要装置。EAST FCPS 的主要控制目的是快速输出电流以跟踪参考电流。等离子体运动导致的负载电感参数变化对输出电流的快速跟踪控制提出了更高的鲁棒性要求。因此,提出了一种改进的灰色预测参数识别滑模控制方法,以实现负载电感参数变化时输出电流的快速跟踪和鲁棒控制。应用参数识别滑模控制方法实时识别负载电感参数,建立精确的 EAST FCPS 输出电流跟踪滑模控制模型。在离散指数收敛达成律中加入了高阶项,并设计了新的平滑饱和函数来取代传统的符号函数,以实现颤振抑制并加快系统收敛速度。电流采样采用灰色预测,实现输出电流轨迹高级预测,进一步加快输出电流响应速度。提出在固定开关周期内进行四次等间隔时间采样,并逐期预测新的信息优先级,以改进灰色预测,实现数字控制延迟补偿,提高突变边缘输出电流轨迹的预测精度。仿真和实验验证表明,改进的灰色预测参数识别滑模控制方法在负载参数变化时具有良好的输出电流跟踪控制性能。与目前工程中使用的 PI 控制方法相比,所提出的控制方法在输出电流快速响应和过冲抑制方面表现更好。
期刊介绍:
The scope of the Journal comprises all aspects of the theory and design of analog and digital circuits together with the application of the ideas and techniques of circuit theory in other fields of science and engineering. Examples of the areas covered include: Fundamental Circuit Theory together with its mathematical and computational aspects; Circuit modeling of devices; Synthesis and design of filters and active circuits; Neural networks; Nonlinear and chaotic circuits; Signal processing and VLSI; Distributed, switched and digital circuits; Power electronics; Solid state devices. Contributions to CAD and simulation are welcome.