ANPC逆变电路有限集模型预测控制的改进算法

Improved Algorithm for Predictive Control of Finite Set Model of ANPC Inverter Circuit

此处首先分析了传统有限集模型预测控制(FCS-MPC)算法存在的缺陷以及它在应用中精度不足的问题,分析了问题的解决方案,考虑到实际工程应用中对计算量的限制,选用了增加电压矢量数量的方法来提升控制精度。然后提出了电压矢量扩展方法,为进一步缩短控制时间,此处还对预测模型进行了改进,以三相参考输出电压为输出标准,预测其前一时刻输出电压,确定预测输出电压所形成的电压矢量所存在的扇区,遵循目标函数最小原则,在该扇区范围内确定最优控制矢量。最后通过搭建实验平台验证了基于电压矢量扩展的MPC算法的优越性。

A control accuracy improvement method by increasing the number of voltage vectors based on the analysis of following aspects are put forward.The defects of the traditional finite control set model predictive control(FCS-MPC)algorithm and its lack of precision in the application the solution of the problem,and the limitation of the amount of calculation in practical engineering applications.Then,the voltage vector expansion method is proposed.In order to further shorten the control time,the prediction model in the following way is improved.The three-phase reference output voltage is used as the output standard to predict the output voltage of the previous moment,and the voltage vector formed by the predicted output voltage is determined.The existing sector follows the principle of the minimum objective function,and the optimal control vector is determined within the sector.Finally,the superiority of the MPC algorithm based on voltage vector expansion is verified by building an experimental platform.