基于占空比控制的Vienna整流器模型预测控制策略  被引量:14

Model predictive control strategy of a Vienna rectifier based on duty cycle control

在线阅读下载全文

作  者:周左 汪洋[1] 李正明[1] ZHOU Zuo;WANG Yang;LI Zhengming(College of Electrical and Information Engineering,Jiangsu University,Zhenjiang 212013,China)

机构地区:[1]江苏大学电气信息工程学院,江苏镇江212013

出  处:《电力系统保护与控制》2021年第10期162-169,共8页Power System Protection and Control

基  金:国家重点研发计划项目资助(2017YFB0103200)。

摘  要:以Vienna整流器为研究对象,针对传统有限集模型预测控制(Finite Control Set Model Predictive Control,FCS-MPC)系统中存在的稳态功率脉动较大的问题,提出一种基于占空比控制的模型预测控制(duty-cycle-control-based model predictive control,DC-MPC)策略。首先,根据功率误差最小化原则构建价值函数,通过在线评估备选矢量对价值函数的影响选择最优矢量。然后,将控制周期划分为两个区间,引入第二矢量来提高系统的稳态性能,减小功率脉动。此外,利用冗余开关状态解决了Vienna整流器中点电位波动问题。与传统模型预测控制相比,消除了权重系数整定过程,控制结构更为简单。最后,通过Vienna整流模型的仿真分析与实验测试验证所提策略的有效性。There is a problem of large steady-state power pulsation in a traditional Finite Control Set Model Predictive Control(FCS-MPC)system.To solve this,a Duty Cycle control-based Model Predictive Control(DC-MPC)strategy is proposed for a Vienna rectifier in this paper.First,the cost function is constructed according to the principle of minimizing power error,and the optimal vector is selected by evaluating online the influence of the candidate vectors on the value function.Then,the control period is divided into two intervals,and a second vector is introduced to improve the steady-state performance of the system and reduce power pulsation.In addition,the problem of Neutral-Point(NP)voltage oscillation is solved using a redundant switching state.Compared with the traditional model predictive control,the weight coefficient tuning process is eliminated,and the control structure is simpler.Finally,the effectiveness of the proposed strategy of the Vienna rectifier model is verified through simulation and experiment.

关 键 词:VIENNA整流器 模型预测 占空比控制 价值函数 中点电位 

分 类 号:U491.8[交通运输工程—交通运输规划与管理] TM461[交通运输工程—道路与铁道工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象