永磁同步电机优化模型预测转矩控制

发布时间：2018-09-07 12:14

【摘要】：为了减少传统模型预测转矩控制(model predictive torque control,MPTC)的计算量并消除转矩与磁链之间的权重系数,优化MPTC方法,提出一种改进模型预测转矩控制方法,利用转矩与磁链无差拍预测控制原理在线计算下一周期预施加的参考电压矢量,根据参考电压所处扇区进一步确定待选电压矢量,无需对所有电压矢量作用下的系统行为进行预测,将传统方法的8次预测减小到2次,显著减小计算量;在其基础上,构建电压误差代价函数取代传统转矩与磁链误差代价函数,选取与参考电压误差最小的矢量作为最优电压矢量,消除了MPTC的权重系数,进一步简化系统结构。仿真与实验结果表明,提出的优化MPTC方法能够显著降低传统算法计算量,并且具有良好的控制性能。
[Abstract]:In order to reduce the computational complexity of the traditional model predictive torque control (model predictive torque control,MPTC) and eliminate the weight coefficient between torque and flux, and optimize the MPTC method, an improved model predictive torque control method is proposed. Based on the principle of torque and flux linkage no-beat predictive control, the reference voltage vector pre-applied in the next cycle is calculated online, and the selected voltage vector is further determined according to the sector in which the reference voltage is located. It is not necessary to predict the system behavior under the action of all voltage vectors, and the 8 times prediction of the traditional method is reduced to 2 times, which significantly reduces the computational complexity. The voltage error cost function is constructed to replace the traditional torque and flux error cost function, and the vector with minimum reference voltage error is selected as the optimal voltage vector. The weight coefficient of MPTC is eliminated and the system structure is further simplified. Simulation and experimental results show that the proposed optimal MPTC method can significantly reduce the computational complexity of the traditional algorithm and has good control performance.
【作者单位】：北京市变频技术工程技术研究中心(北方工业大学);
【基金】：国家自然科学基金项目(51507004,51477003) 北京市自然科学基金项目(3172011) 北方工业大学青年拔尖人才项目;北方工业大学青年创新基金~~
【分类号】：TM341;TP273

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