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Real-time implementation in DSPACE of intelligent vector control of induction motor

机译:异步电动机智能矢量控制在DSPACE中的实时实现

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The induction motor has a multi-variable model, nonlinear and strongly-coupled. Due to parameters variation during operation of induction motor, the decoupling implemented by field oriented control is destroyed. For that, a novel method named as Fuzzy vector control for induction motor is proposed. This technique is used to replace the block of Field oriented control with a new block control its role is to maintain the decoupling and overcome the problem of robustness with respect to the parametric variations. The simulation results show that the two control schemes provide in their basic configuration, comparable performances regarding the decoupling. However, the choice of the Fuzzy vector control appears advantageous from the point of view robustness. The fuzzy vector control scheme is successfully implemented in real-time using a digital signal processor board DS 1104. The efficacy of this technique is verified as well as experimentally at different dynamic operating conditions such as parameter variations and the change of speed. The fuzzy vector control is found to be a robust control for application in an induction motor.
机译:感应电动机具有非线性和强耦合的多变量模型。由于在感应电动机运行期间参数变化,因此破坏了通过磁场定向控制实现的去耦。为此,提出了一种新的异步电动机模糊矢量控制方法。该技术用于用新的块控件替换面向磁场的控制块,其作用是保持去耦并克服关于参数变化的鲁棒性问题。仿真结果表明,两种控制方案在其基本配置中均具有可比的解耦性能。但是,从鲁棒性的角度来看,模糊矢量控制的选择似乎是有利的。模糊矢量控制方案已使用数字信号处理器板DS 1104成功地实时实施。在不同的动态操作条件(例如参数变化和速度变化)下,还通过实验验证了该技术的有效性。发现模糊矢量控制是用于感应电动机的鲁棒控制。

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