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Robust and Adaptive Control of Induction Motors with Fuzzy Control

机译:模糊控制的感应电动机鲁棒自适应控制

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The paper deals with a field-oriented control of an asynchronous motor for industrial applications. Although field-oriented control of induction motors is nowadays state of the art, the major problem is still the sensitivity towards parameter variations. In particular the change of rotor resistance due to temperature variations causes undesired results. With this paper, there is introduced a control strategy using robust fuzzy PI-controllers for the current control circuits in combination with a model refe4rence adaptive system in order to solve this problem. The use of fuzzy controllers makes the system less sensitive towards parameter variations at dynamic operation and with the adaptation of the rotor time constant precise torque control can be reached.
机译:本文涉及用于工业应用的异步电动机的磁场定向控制。尽管当今感应电动机的磁场定向控制是当前技术水平,但是主要问题仍然是对参数变化的敏感性。尤其是由于温度变化引起的转子电阻变化会导致不良结果。为了解决这个问题,本文介绍了一种针对电流控制电路使用鲁棒模糊PI控制器的控制策略,并结合了模型参考自适应系统。模糊控制器的使用使系统对动态运行时的参数变化不那么敏感,并且通过调整转子时间常数,可以实现精确的转矩控制。

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