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Application of adaptive fuzzy control to ac machines

机译:自适应模糊控制在交流电机中的应用

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The decoupled control of torque and flux has made field oriented control an attractive choice for high performance induction motor drives. However, changes in the speed tracking trajectory and external disturbances make it difficult to achieve an acceptable closed-loop tracking performance, especially when traditional linear controllers are used. This paper addresses this issue by applying direct and indirect adaptive fuzzy controllers for performance enhancement of variable speed control of induction machines. Theoretical background of these schemes is outlined, and then a simulation test bench has been established for performance evaluation under a variety of operating conditions. Such conditions include changes in the speed reference trajectory and presence of external disturbances, such as load changes. A comparison has been made among direct adaptive, indirect adaptive, and direct fuzzy controllers to show the potential of applying adaptive fuzzy control techniques to induction machines.
机译:转矩和磁通的解耦控制使磁场定向控制成为高性能感应电动机驱动器的诱人选择。但是,速度跟踪轨迹的变化和外部干扰使得难以获得可接受的闭环跟踪性能,尤其是在使用传统的线性控制器时。本文通过将直接和间接自适应模糊控制器应用于感应电机变速控制的性能增强来解决此问题。概述了这些方案的理论背景,然后建立了用于在各种操作条件下进行性能评估的仿真测试台。这些条件包括速度参考轨迹的变化和外部干扰(例如负载变化)的存在。在直接自适应,间接自适应和直接模糊控制器之间进行了比较,以显示将自适应模糊控制技术应用于感应电机的潜力。

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