基于Matlab的三电平逆变器预测控制采样延迟优化

Optimization of Sampling Delay in Predictive Control of Three-level Inverter Based on Matlab

模型预测控制应用在三电平逆变器驱动的永磁同步电机系统时,处理器计算负担重,将导致转速及电流传感器的采样信息存在较长延迟,造成系统性能下降。为解决这一问题,提出一种基于扇区选择的模型预测控制方法。该方法通过无差拍思想确定系统所需的期望电压矢量,通过电压矢量角度得出其所在的三角形扇区,枚举扇区内的电压矢量进行电流预测。该方法通过减少待选电压矢量的个数来降低处理器计算量,从而缩短传感器采样信息的延迟时间。论文采用Matlab对由三电平逆变器驱动的永磁同步电机嵌入式系统进行仿真,实验结果表明,通过降低算法计算量,可有效提升系统性能。

When model predictive control is applied to permanent magnet synchronous motor system driven by three-level inverter,the calculation burden of processor is too large,which will lead to a long delay in the sampling information of speed and current sensors,resulting in the decline of system performance.In order to solve the problem,a model predictive control method based on sector selection is proposed.In this method,the expected voltage vector required by the system is determined by the idea of deadbeat.The triangular sector where it is located is obtained by the angle of voltage vector,and the voltage vectors in the sector are enumerated for current prediction.This method reduces the calculation burden by reducing the number of voltage vectors to be selected,so as to shorten the delay time of sensor sampling information.In this paper,Matlab is used to simulate the embedded system of permanent magnet synchronous motor driven by three-level inverter.The experimental results show that the system performance can be improved through reducing the calculation burden of the algorithm.