摘要
为了解决永磁同步电机有限集模型预测控制中存在的电流脉动大、开关次数多等问题,提出基于灰色预测补偿和动态代价函数的FCS-MPC改进方案,从提高参考电流预测精度和增强控制方案对PMSM不同工况适应能力2个方面进行改进。首先,在现有方案的电流环中引入灰色预测用来修正由于参数扰动对q轴参考电流预测值带来的误差;其次,根据PMSM的具体工况,设计模糊控制器获取相应的权重系数组合,用以构建不同控制侧重的动态代价函数,实现对PMSM的有效控制;最后,通过仿真和试验将所提方案与传统FCS-MPC方案进行对比,电流脉动分别降低76.9%和74.7%,开关次数分别降低18.8%和17.5%,转速上升时间分别缩短67.8%和38.1%。结果证明所提方案在降低电流脉动、减少开关次数、缩短响应时间方面的有效性。
In order to solve the problems of excessive current ripple and too many switching times in the finite set model predictive control(FCS-MPC)of permanent magnet synchronous motor(PMSM),an improved FCS-MPC scheme based on grey prediction compensation and dynamic cost function is proposed,so as to improve the accuracy of reference current prediction and enhance the adaptability of the control scheme to PMSM under different working conditions.Firstly,a Grey Model(GM)is introduced into the current loop of FCS-MPC scheme to correct the bias on the predicted value of q axis reference current caused by parameter disturbance.Secondly,the fuzzy controller is designed to obtain the corresponding weight factor combination according to the specific working conditions of PMSM,which is used to construct the dynamic cost function with different control focuses so as to realize the effective control of PMSM.Finally,the proposed scheme is compared with the traditional FCS-MPC one by simulations and experiments.The current ripple is reduced by 76.9%and 74.7%respectively,the switching times by 18.8%and 17.5%and the speed rising time by 67.8%and 38.1%,which indicates the effectiveness of the proposed scheme in reducing the current ripple,decreasing the switching times and shortening the response time.
作者
吴景红
WU Jinghong(China Energy Shendong Coal Group Co.,Ltd.,Yulin 719315,China)
出处
《西安科技大学学报》
CAS
北大核心
2023年第4期807-815,共9页
Journal of Xi’an University of Science and Technology
基金
陕西省自然科学研究计划项目(2019JM6003)。
关键词
有限集模型预测控制
灰色预测
永磁同步电机
模糊逻辑
动态代价函数
finite control set model predictive control
grey prediction
permanent magnet synchronous motor(PMSM)
fuzzy logic
dynamic cost function