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Burn control of an ITER-fuzzy Sair Garcia

机译：ITER模糊Sair Garcia的刻录控制

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The fuel burn in a fusion reactor has to be kept at a nearly constant rate in order to have a steady power exhaust. Here, we develop a control system based on a fuzzy logic controller in order to adjust external parameters to keep the plasma temperature and density at the design values of a reactor of the characteristics of ITER. The control parameters chosen are the D-T refueling rate, the auxiliary heating power and a neutral helium beam. We use a fuzzy controller of the Mamdani type that uses a number of membership functions appropriate to produce a response to parameter deviations that minimizes the response time. The inference rules are determined in a way to provide stabilization to all perturbations of the temperature, density and alpha particle fraction. The dynamical response of the reactor is simulated with a zero-dimentional model that uses confinement times provided by the ITER scaling. We show how the system is feedback stabilized for a large range of parameters around the nominal values. The recovery time after a perturbation from the steady state is within the order of one second even with a noise term added to the energy confinement time. Furthermore the results of this Fuzzy Control System are compared with another control system based on neural networks that was previously developed.
机译：为了获得稳定的动力排放，聚变反应堆中的燃料燃烧必须保持接近恒定的速率。在这里，我们开发了一个基于模糊逻辑控制器的控制系统，以便调整外部参数，以将等离子体温度和密度保持在具有ITER特性的反应堆的设计值上。选择的控制参数是D-T加油率，辅助加热功率和中性氦气束。我们使用Mamdani类型的模糊控制器，该控制器使用许多隶属函数来生成对参数偏差的响应，从而使响应时间最小化。确定推理规则的方式是对温度，密度和α粒子分数的所有扰动提供稳定。反应堆的动态响应是使用零维模型模拟的，该模型使用了ITER标度提供的限制时间。我们展示了系统如何针对标称值附近的大范围参数进行反馈稳定。即使将噪声项添加到能量约束时间中，从稳态扰动后的恢复时间也处于一秒的数量级内。此外，将该模糊控制系统的结果与先前基于神经网络的另一个控制系统进行了比较。

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