一种在线计算多模式空间矢量调制算法及其FPGA实现  被引量:11

An On-Line Calculation Multi-Mode SVPWM Algorithm and Implementation Based on FPGA

在线阅读下载全文

作  者:吴瑕杰[1] 宋文胜[1] 冯晓云[1,2] Wu Xiajie;Song Wensheng;Feng Xiaoyun(School of Electrical Engineering Southwest Jiaotong University Chengdu 610031 China;State Key Laboratory of Traction Power Southwest Jiaotong University Chengdu 610031 China)

机构地区:[1]西南交通大学电气工程学院,成都610031 [2]西南交通大学牵引动力国家重点实验室,成都610031

出  处:《电工技术学报》2016年第18期124-133,共10页Transactions of China Electrotechnical Society

基  金:国家自然科学基金(51207131;51277153);中央高校基本科研业务费专项资金(2682013ZT19;2682013CX017)资助项目

摘  要:针对大功率牵引传动系统中开关频率低的特点,在列车运行全速度范围内,牵引逆变器广泛采用多模式调制算法。为此,给出了一种新颖的在线计算多模式空间矢量脉宽调制(SVPWM)算法并研究了不同调制模式间的切换方法。给出了该算法基于现场可编程逻辑门阵列(FPGA)的详细设计方案,通过简化乘法器、高效率开方器、除法器等关键性设计使核心数字信号处理器(DSP)避免了大量运算,同时兼具FPGA速度快、可靠度高、可移植性好等优点。最后,采用DSP-FPGA的控制系统,基于RT-LAB的半实物(HIL)实验平台对该在线计算多模式SVPWM算法的正确性和基于FPGA设计方案的可行性进行了验证。Due to the low switching frequency in high power AC electrical locomotive,multi-mode modulation algorithm is widely adopted for traction inverter in the whole speed range. Anew on-line calculation multi-mode space vector pulse width modulation (SVPWM) is adopted fortwo-level diode neutral point clamped (NPC) inverter, and the switching method between differentmodes is studied. Then, based on field programmable gate array (FPGA), the implementation scheme ispresented, with the features of high speed, high reliability and reuse-ability. As a result, digital signalprocessors (DSP) can be relieved from heavy computation task through the simplified design ofmultiplier, square root units and divider. Finally, by virtue of hardware-in-loop (HIL) experimentalsystem based on DSP-FPGA controller and RT-LAB platform, the accuracy of the on-line calculationmulti-mode SVPWM algorithm and the feasibility of the implementation scheme are verified.

关 键 词:空间矢量脉宽调制 在线 多模式 现场可编程逻辑阵列 

分 类 号:TM922[电气工程—电力电子与电力传动] TM46

 

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