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首页> 外文会议>IEEE Conference on Industrial Electronics and Applications >Fault Tolerant Control Strategy Based on Model Predictive Control and Unscented Kalman Filter for Permanent Magnet Synchronous Motor
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Fault Tolerant Control Strategy Based on Model Predictive Control and Unscented Kalman Filter for Permanent Magnet Synchronous Motor

机译：基于模型预测控制和永磁同步电动机的智能电滤波的容错控制策略

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Permanent Magnet Synchronous Motors (PMSMs) are now extensively used in many critical applications. There is an increasing need for the motor and control system to have fault tolerant capabilities. This paper presents a fault tolerant control strategy to operate the PMSM during inter-turn fault conditions. The proposed technique combines the Model Predictive Control (MPC) for the speed and current control loops, and an almost error-free Unscented Kalman Filter (UKF) to estimate the PMSM inter-turn fault ratio. The PMSM state-space model for healthy and faulty conditions will be presented. Also, the equations and the remedial action of the MPC and UKF are provided in detail. The proposed algorithm is applied to PMSM model as a case study with a range of simulation analysis and discussion of results.
机译：永磁同步电动机（PMSMS）现在广泛用于许多关键应用中。 电机和控制系统越来越需要具有容错能力。 本文介绍了故障控制策略，可在匝间故障条件下操作PMSM。 所提出的技术将模型预测控制（MPC）与速度和电流控制循环相结合，以及几乎无差错的Unscented Kalman滤波器（UKF），以估计PMSM匝间故障比。 将提出适用于健康和故障条件的PMSM状态空间模型。 而且，详细提供了MPC和UKF的方程和补救动作。 所提出的算法应用于PMSM模型，作为具有一系列仿真分析和结果讨论的案例研究。

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