Predictive torque control (PTC) is based on the prediction of motor torque and stator flux for all possible voltage vectors of inverter. These predictions are derived from a mathematical model of the motor that depends on the motor parameters. But, these parameters may not match with their nominal value because of temperature rise, flux saturation effect, etc. These parametric uncertainties lead to inaccurate predictions of torque and stator flux and affect the performance of the predictive algorithm. This paper presents a modified predictive torque control for a permanent magnet synchronous motor (PMSM) to overcome the influences of motor parameter mismatch. In the proposed algorithm, a robust torque predictive model is established. With the help of this predictive model, the proposed algorithm could still get the accurate predictive results under the situation of parametric uncertainty, thus the overall control performance can be promoted. The feasibility and effectiveness of proposed algorithm are verified by the experimental results on a 6 kW PMSM.%预测转矩控制算法通过对逆变器所有电压矢量作用下产生的转矩和磁链进行预测,然后利用预设价值函数从中选出满足控制要求的矢量输出,以控制电机运行.在经典预测算法中,由于转矩的预测过程对电机参数的依赖性较高,在电机参数受到温升、磁场饱和等因素的影响而发生改变时,将会使得转矩预测值存在偏差,进而导致系统输出转矩出现跟踪偏差.为此,该文提出一种能够克服电机参数失配的改进型预测转矩控制策略.在所提出的算法中,通过建立起一种具有强鲁棒性的转矩预测模型,以保证在参数失配的情况下仍能获得较为精确的转矩和磁链预测值,从而可提升预测算法的整体控制性能.在一台6 kW 永磁同步电机(PMSM)样机上对所提出的算法进行了实验验证,实验结果证明了其可行性和有效性.
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