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文章摘要
一种基于改进模型预测控制算法的空间矢量PWM虚拟磁链直接功率控制策略
A Strategy of Space Vector PWM Virtual Flux Direct Power Control Based on Improved Model Predictive Control Algorithm
Received:August 05, 2018  Revised:August 05, 2018
DOI:10.19753/j.issn1001-1390.2019.014.018
中文关键词: 虚拟磁链  直接功率控制  PI控制  改进模型预测控制算法  内模反馈校正
英文关键词: virtual flux, direct power control, PI control, an improved model prediction direct power control, feedback correction by internal model
基金项目:国家自然科学基金项目( 重点项目)
Author NameAffiliationE-mail
Chen Weili* Xi''an University of Architecture and Technology 15664672325@163.com 
Liu Peijin Xi''an University of Architecture and Technology liuxpj@163.com 
Peng Lijun Xi''an University of Architecture and Technology penglijun683@sina.com 
Guo Jia China National Heavy Machinery Research Institute Co. 972279310@qq.com 
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中文摘要:
      虚拟磁链定向的空间矢量PWM直接功率控制(VF-DPC-SVM)策略的功率内环PI控制参数整定过程复杂,电压型整流器(VSR)控制稳定性不高、快速性较差。对此,论文提出虚拟磁链定向的改进模型预测直接功率控制(VF-MPDPC)策略。在功率内环用模型预测控制(MPC)算法代替PI控制器改善VSR的控制系能,并引入内模反馈校正环节在每个采样周期修正功率的预测给定值,通过改进的MPC模型实现对瞬时功率的高精度跟踪。仿真分析表明: 改进的VF-MPDPC策略使系统稳态时调整时间短,响应快,电网污染小,输出母线电压质量高,功率纹波小;动态响应鲁棒性高,稳定性能好。
英文摘要:
      Due to the complexity of the power inner loop PI control parameter setting process of space vector PWM virtual flux linkage oriented direct power control (VF-DPC-SVM) strategy, the stability is not high and the rapidity is poor of the VSR control, an improved model predictive direct power control strategy for virtual flux (VF-MPDPC) in the paper was proposed. In the power inner loop, the model predictive control (MPC) algorithm was used to improve the control system of the VSR instead of the PI controller, and the feedback correction by internal model was introduced to correct the predicted value of the power in each sampling period, realizing the error-free tracking of the instantaneous power through improved MPC model. The simulation results show that because of the improved VF-MPDPC, the adjustment time is short, the response is fast, the grid pollution is small, the output bus voltage quality is high, and the power ripple is small when the system is steady; at the same time, the fluctuation is small, the dynamic response is robust, and the stability is good when the system changes dynamically.
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