摘要
为了实现电励磁同步电动机的高性能调速,提出一种基于模型预测的电流控制方法.在采样频率较高的数字控制背景下,将电机数学模型中的微分项近似为差分方程的形式;根据三电平逆变器的开关特点,预测下一个采样周期中所有的27个开关组合所对应的电流;下一周期的电流给定根据当前周期的给定值使用二阶外推法得到.将预测得到的电流反馈与给定的误差作为目标函数,依据滚动优化原则,输出使所期望的目标函数取得最小值的开关状态来控制逆变器的动作.使用Matlab软件,对三电平逆变器驱动电励磁同步电动机情况下的模型预测控制方法进行仿真研究,仿真结果验证了所采用控制方法的有效性.
A novel model predictive current control method was proposed for the purpose of high performance drive of electrical excited synchronous machine. On the basis of high sampling rate digital control, the differential parts in the machine mathematical model were approximated to difference equation. Predicted currents in the next sampling period corresponding to all the 27 switching states were gained depending on the switching characters of three-level inverter. Current reference in the next sampling period was also predicted using the second-order extrapolation. Defining the error between predicted feedback and given currents as the objective function, the switching states which minimized the objective function were then out-put to control the inverter according to the rolling optimization strategy. Finally, the model predictive control strategy of three-level inverter fed electrical excited synchronous machine was studied with Matlab. Simulation results verify the proposed approach.
出处
《浙江大学学报（工学版）》
EI
CAS
CSCD
北大核心
2011年第5期815-817,863,共4页
Journal of Zhejiang University：Engineering Science
基金
国家自然科学基金资助项目(51077124)
江苏省普通高校研究生科研创新计划资助项目(CX09B_113Z)
关键词
电励磁同步电动机
模型预测控制
三电平
滚动优化
electrical excited synchronous machine
model predictive control
three-level
rolling optimization strategy
