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Online Adaptation of Rotor Resistance based on Sliding Mode Observer with Backstepping Control of A Five-Phase Induction Motor Drives

机译:基于滑模观测器的五相感应电动机驱动器反推在线自适应

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Multiphase electric drives have been developed due to numerous advantages offered by those machines when it compared with the conventional three-phase machines. Multiphase motor drives are considered for applications, where the reduction of power per phase for both motor and inverter and high reliability are required. High performance control techniques are developed for multi-phase drives. The performances of the high performance controller and flux observers may be degraded during the operation. Since the parameters of Induction Motor (IM) varies continuously due to temperature variation and heating. Thus it is significantly important that the value of rotor resistance is continuously observed online and adapted by the control algorithm in order to avoid detuning effects. The efficiency and performance of an induction motor drive system can be improved by online observation of the critical parameters, such as the rotor resistance and stator resistance. Among the parameters of IM, rotor resistance is a decisive one for flux estimation, and also the stator resistance becomes critical in the low-speed operation condition. This paper presents a new online estimation method for the rotor resistance of the IM for sliding mode observer. This method generally based on theories of variable structure and is useful in order to adjust online unknown parameters (load torque and rotor resistance). The presented non-linear compensator afford a voltage inputs on the articulation of stator current and rotor speed measurements, and engender an estimates for the unknown parameters simultaneously, the non-measurable state variables (rotor flux and derivatives of the stator current and voltage) that converge to the corresponding true values. Under the persistent excitation condition, the proposed method estimates the actual value of rotor resistance, which guarantees the exact estimation of the rotor flux. Non-linear Backstepping control and adaptive sliding mode observer of a five-phase induction motor drive is presented. The accuracy and validity of the method is verified by MATLAB simulation model.
机译:与传统的三相电机相比,由于多相电驱动器具有许多优势,因此已经开发出了多相电驱动器。考虑将多相电动机驱动器用于需要降低电动机和逆变器每相功率以及高可靠性的应用。针对多相驱动器开发了高性能控制技术。在操作过程中,高性能控制器和磁通观测器的性能可能会降低。由于感应电机(IM)的参数由于温度变化和发热而连续变化。因此,非常重要的一点是,在线连续观察转子电阻的值并通过控制算法对其进行调整,以避免产生失谐效应。通过在线观察关键参数(例如转子电阻和定子电阻),可以提高感应电动机驱动系统的效率和性能。在IM的参数中,转子电阻是磁通估计的决定性参数,并且定子电阻在低速运行条件下也变得至关重要。本文提出了一种用于滑模观测器的IM转子电阻在线估计的新方法。该方法通常基于可变结构的理论,可用于调整在线未知参数(负载转矩和转子电阻)。提出的非线性补偿器在定子电流和转子速度测量的关节上提供电压输入,并同时对未知参数进行估计,不可测量的状态变量(转子磁通以及定子电流和电压的导数)收敛到相应的真实值。在持续励磁的条件下,该方法估计了转子电阻的实际值,从而保证了转子磁通的准确估计。提出了三相感应电动机驱动器的非线性Backstepping控制和自适应滑模观测器。通过MATLAB仿真模型验证了该方法的准确性和有效性。

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