A comparison of a signal-injection method and a discrete-search algorithm for MTPA tracking control of an IPM machine
A comparison of a signal-injection method and a discrete-search algorithm for MTPA tracking control of an IPM machine
复制标题
DOI：
10.1109/epe.2015.7309290
复制
发表时间：
2015-10
期刊：
影响因子：
--
通讯作者：
T. Windisch;W. Hofmann
中科院分区：
文献类型：
--
作者：
T. Windisch;W. Hofmann
在进行磁场定向控制时，采用损耗最小化的方法可以提高内部永磁同步电机的效率。基于模型的优化给出了给定定子电流幅值时产生最大转矩的工作点。然而，由于磁饱和度和温度的变化，实际损耗最小值可能有所不同。因此，提出了一种使用无梯度Nelder-Mead单纯形法的在线离散搜索算法，并与先前发表的现有信号注入方法进行了比较。仿真结果表明，离散搜索算法比信号注入法具有更快的收敛速度。一旦找到MTPA工作点，就不会再存在影响驱动器性能或激发机械振动的电流或转矩波动。因此，它更适合在高度开发的IPM机器中跟踪MTPA轨迹，这些机器具有显著的饱和特性，因为它发生在汽车应用中。
The efficiency of interior permanent magnet synchronous machines can be increased by a loss minimization approach when implementing field-oriented control. Model-based optimization gives operating points that yield maximum torque for a given stator current amplitude. The true loss minimum however can differ due to magnetic saturation and temperature variations. Therefore an online discrete search algorithm using a gradient-free Nelder-Mead simplex method is proposed and compared to an existing signal-injection method that was previously published. Simulation results show that the discrete search algorithm has a faster convergence time than the signal-injection method. Once the MTPA operating point is found no further current nor torque ripple remain that could influence the performance of the drive or excite mechanical vibrancy. Therefore it is better suited to track the MTPA trajectory in highly-exploited IPM machines that have a significant saturation characteristic as it occurs in automotive applications.