Computationally-efficient direct model predictive control of three-level neutral-point clamped back-to-back converters for wind turbinesystems with permanent-magnet synchronous generators

在研究项目期间，应在硬件在环系统（仿真整个风力涡轮机系统）上开发、实施、优化和验证用于具有永磁同步发电机（PMSG）的风力涡轮机系统的三电平中性点（二极管）箝位（3L-NPC）背靠背转换器的电流/转矩和功率控制的计算高效直接模型预测控制（CE-DMPC）方案。应在基于FPGA/处理器的实时系统上实施、测试所开发的算法，并与传统DMPC进行比较，以测量和评估计算工作量。最后，CE-DMPC方案应与（现有）虚拟磁通估计方法相结合，以克服电网侧对电压传感器的需求。

During the research project, computationally-efficient direct model predictive control (CE-DMPC) schemes for current/torque and power control of three-level neutral-point (diode) clamped (3L-NPC) back-to-back converters for wind turbine systems with permanent-magnet synchronous generators (PMSG) shall be developed, implemented, optimized and validated on a hardware-in-the-loop system (emulating the whole wind turbine system). The developed algorithms shall be implemented, tested and compared with convential DMPC on a FPGA/processor-based real-time system to measure and evaluate the computational effort. Finally, the CE-DMPC schemes shall be combined with (existing) virtual flux estimation methods to overcome the need of voltage sensors on the grid side.