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Implementation of model predictive control for resistive wall mode stabilization on EXTRAP T2R

机译:在EXTRAP T2R上实现电阻墙模式稳定的模型预测控制的实现

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摘要

A model predictive control (MPC) method for stabilization of the resistive wall mode (RWM) in the EXTRAP T2R reversed-field pinch is presented. The system identification technique is used to obtain a linearized empirical model of EXTRAP T2R. MPC employs the model for prediction and computes optimal control inputs that satisfy performance criterion. The use of a linearized form of the model allows for compact formulation of MPC, implemented on a millisecond timescale, that can be used for real-time control. The design allows the user to arbitrarily suppress any selected Fourier mode. The experimental results from EXTRAP T2R show that the designed and implemented MPC successfully stabilizes the RWM.
机译:提出了一种模型预测控制(MPC)方法,用于稳定EXTRAP T2R反向场收缩中的电阻壁模式(RWM)。系统识别技术用于获得EXTRAP T2R的线性化经验模型。 MPC使用该模型进行预测,并计算满足性能标准的最佳控制输入。模型的线性化形式的使用允许MPC的紧凑公式化(在毫秒级的时间尺度上实现),可用于实时控制。该设计允许用户任意抑制任何选定的傅立叶模式。 EXTRAP T2R的实验结果表明,设计和实现的MPC成功地稳定了RWM。

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