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Robust performance of self-scheduled LPV control of doubly-fed induction generator in wind energy conversion systems

机译:风能转换系统中双馈感应发电机自调度LPV控制的鲁棒性能

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摘要

This paper describes the design of a self-scheduled current controller for doubly-fed induction generators in wind energy conversion systems (WECS). The design is based on viewing the mechanical angular speed as an uncertain yet online measurable parameter and on subsuming the problem into the framework of linear parameter-varying (LPV) controller synthesis. An LPV controller is then synthesized to guarantee a bound on the worst-case energy gain for all admissible trajectories of rotor speed in the operating range. Furthermore, this study investigates the robust performance of the LPV controller with respect to other bounded machine parameter variations and the impact of the stator voltage dips on the robustness of the control system. Two closed loop simulation models, one with a conventional control scheme and the other with an LPV control scheme, are developed for the control of the electrical torque and the power factor on the rotor side in order to compare the performance of the control systems. Some simulation results are given to demonstrate the performance and robustness of the control algorithm.
机译:本文介绍了风能转换系统(WECS)中双馈感应发电机的自调度电流控制器的设计。该设计基于将机械角速度视为不确定的但可在线测量的参数,并将该问题包含在线性可变参数(LPV)控制器综合框架中。然后合成一个LPV控制器,以保证在工作范围内所有允许的转子速度轨迹上,在最坏情况下获得能量限制。此外,本研究调查了LPV控制器相对于其他有界电机参数变化的鲁棒性能,以及定子电压骤降对控制系统鲁棒性的影响。为了比较控制系统的性能,开发了两个闭环仿真模型,一个具有常规控制方案,另一个具有LPV控制方案,用于控制转子侧的电转矩和功率因数。给出了一些仿真结果,以证明控制算法的性能和鲁棒性。

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