基于PCHD模型的APF自适应模糊无源控制研究  被引量:13

Self-adaption fuzzy-passivity based hybrid control strategy of active power filter based on port controlled Hamiltonian with dissipation model

在线阅读下载全文

作  者:郑成才[1] 王久和[1] 慕小斌[2] 张巧杰[1] 

机构地区:[1]北京信息科技大学自动化学院,北京100101 [2]北京交通大学电气工程学院,北京100044

出  处:《电力系统保护与控制》2018年第2期8-15,共8页Power System Protection and Control

基  金:国家自然科学基金项目(51777012;51477011);北京市自然科学基金重点项目(KZ201511232035);北京市高创计划教学名师项目(PXM 2017_014224_000025)~~

摘  要:为改进有源电力滤波器APF的电网电流补偿效果,基于APF的端口受控哈密顿(PCHD)数学模型,采用互联和阻尼配置无源控制(IDA-PBC)方法,设计了通过模糊控制实现注入阻尼在线调整的无源混合控制器。同时,为提高APF的直流侧电压控制能力,采用自适应模糊PI控制器,实现比例系数与积分系数的在线调整。利用所提出的控制器,可有效补偿电网电流,抑制负载电流谐波,使电网电流为近似正弦波;同时,获得更好的直流电压动静态性能。在Matlab/Simulink仿真平台上搭建APF自适应模糊无源混合控制器的仿真模型,对APF的谐波补偿性能进行了仿真实验研究。仿真结果表明所提出的自适应模糊无源混合控制策略是可行的。The passivity based hybrid controller which can adjust the damping injection online through fuzzy control theory is designed based on the Port Controlled Hamiltonian with Dissipation(PCHD) mathematical model of Active Power Filter(APF) and through the method of Interconnection and Damping Assignment Passivity Based Control(IDA-PBC) to improve the current compensation effect of APF. While self-adaptive fuzzy PI control method is used in order to adjust the proportional and integral coefficient online to improve the DC side voltage control performance of APF. Using the controller proposed, the source current can be compensated and the load harmonic current can be suppressed effectively, which makes the power supply current sinusoidal and gets a better dynamic and static performance of DC voltage. The simulation models of APF and the self-adaptive fuzzy-passivity based hybrid control system are built based on Matlab/Simulink. The harmonic compensation performance of APF is simulated and analyzed. The simulation results show that the self-adaptive fuzzy-passivity based hybrid control strategy proposed is feasible.

关 键 词:有源电力滤波器 PCHD模型 无源混合控制 模糊控制 谐波补偿 

分 类 号:TM761[电气工程—电力系统及自动化]

 

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