高频注入法下PMSM无刷电机超低速传感器less控制实验研究
需积分: 9 70 浏览量
更新于2024-09-07
收藏 7.12MB PDF 举报
本文档标题为《基于高频注入的永磁同步电机超低速传感器less控制实验研究》(Experimental Study of Low Speed Sensorless Control of PMSM Drive Using High Frequency Signal Injection)，发表在电力工程与电气工程领域，2016年3月第14卷第1期。作者Jyoti Agrawal和Sanjay Bodkhe分别来自印度纳格普尔的G.H.Raisoni学院工程系和Shri Ramdeobaba学院工程与管理系。
文章首先回顾了传统永磁同步电机(PMSM)传感器less控制技术，这些方法通常依赖于获取转子位置信息。这些传统策略包括反电动势（back electromotive force, BEMF）估计算法、磁链观测器、磁场定向控制（field-oriented control, FOC）等。尽管这些方法在一定程度上实现了无传感器控制，但它们可能面临精度有限、对参数变化敏感、实时性需求高等挑战。
本文的核心贡献在于提出了一种改进的无传感器PMSM速度控制策略，特别侧重于信号注入方法。信号注入技术是通过向电机系统中添加额外的高频信号，来间接测量电机的状态，如转速和磁链。这种方法能够减少对外部传感器的依赖，提高系统的鲁棒性和抗干扰能力。通过实验分析，作者探讨了这种信号注入控制在超低速范围内的性能，旨在优化动态响应、稳定性和效率。
研究过程中，作者可能对高频信号的频率选择、注入方式、滤波器设计以及信号处理算法进行了深入研究。他们还可能讨论了如何通过实时调整控制器参数以适应不同负载条件下的速度控制需求。此外，为了验证其方法的有效性，论文可能包含了详细的仿真和实验结果，展示了在各种工况下，相比于传统方法，新控制策略的优越性。
这篇文章为永磁同步电机的低速传感器less控制提供了一个创新且实用的解决方案，对于那些寻求提高电机系统性能，降低复杂性并减少成本的工程师和技术人员来说，具有很高的参考价值。通过深入理解高频信号注入在低速控制中的作用，读者可以拓展自己在电机驱动系统设计方面的专业知识。
POWER ENGINEERING AND ELECTRICAL ENGINEERING VOLUME: 14 | NUMBER: 1 | 2016 | MARCH
i
r
qs
i
r
ds
i
0
=
cos θ
r
cos
θ
r
−
2π
3
cos
θ
r
+
2π
3
sin θ
r
sin
θ
r
−
2π
3
sin
θ
r
+
2π
3
1
2
1
2
1
2
·
i
as
i
bs
i
cs
. (3)
p
i
r
qs
i
r
ds
ω
r
θ
r
=
−
R
s
L
q
−
L
d
L
q
ω
r
−
λaf
L
q
0
L
d
L
q
ω
r
−
R
s
L
d
0 0
λ
af
2H
−
(L
d
−L
q
)i
r
qs
2H
−
B
2H
0
0 0 1 0
·
i
r
qs
i
r
ds
ω
r
θ
r
+
1
L
q
0 0
0
1
L
d
0
0 0 −1
0 0 0
·
ν
r
qs
ν
r
ds
T
1
. (5)
Transforming the voltages into q- and d-axes in the
same reference frame as:
ν
qsi
ν
dsi
= V
i
sin θ
i
cos θ
i
. (8)
The injected flux linkage vector in estimated rotor
reference frame can be given by:
λ
qsi
λ
dsi
= V
si
sin θ
i
cos θ
re
− sin θ
re
. (9)
The injected frequency component of the stator cur-
rents can be obtained as:
i
qsi
i
dsi
= sin θ
i
I
1
cos θ
re
− I
2
cos {2 (θ
r
− θ
re
)}
−I
1
sin θ
re
+ I
2
sin {2 (θ
r
− θ
re
)}
,
(10)
where:
I
1
=
V
i
ω
i
L
q
+L
d
2
L
q
+L
d
2
2
−
L
q
−L
d
2
2
, (11)
I
2
=
V
i
ω
i
L
q
−L
d
2
L
q
+L
d
2
2
−
L
q
−L
d
2
2
. (12)
Transforming the d-axis current to the estimated ro-
tor position reference frames yields [9].
i
e
dsi
= i
qsi
sin (θ
re
) + i
dsi
cos (θ
re
) . (13)
Equation 13 can be rewritten as:
i
e
dsi
= I
2
sin θ
i
[sin {2 (θ
r
− θ
re
)}] . (14)
From Eq. 14 it can be seen that it contains the in-
formation related to rotor position error. This useful
signal can be extracted using a bandpass filter (BPF)
which separates the fundamental component from the
HF component followed by an observer. This posi-
tion error can be demodulated by any demodulation
schemebut in this model heterodyning process is used-
for the estimation of position and speed [5].
4. Implementation of
Speed-Controlled Sensorless
PMSM Drive by Estimating
Rotor Position Using Signal
Injection
The proposed model developed for sensorless vector
control of PMSM drive using signal injection, as pre-
sented in Fig. 2, is implemented using the software
Matlab/Simulink. It consists of a speed loop, current
and torque angle calculator, stator current synthesizer,
inverter with SPWM current control, PMSM model,
HF signal injection, demodulation process, controller
and observer for rotor position and speed estimation.
Each functional block is elaborated in detail in the fol-
lowing sections. The principle for this speed control
strategy is based on comparing the reference speed and
the estimated speed [10]. The speed error thus ob-
tained is then processed through the speed controller
and the output of this block represents the reference
torque (T
∗
e
) for the current and torque angle calcula-
tor. The stator current synthesizer generates the phase
reference current commands. The three phase reference
currents are compared with their respective actual cur-
rents resulting in the current errors in a PWM current
controller which is then used to generate the switching
signals for the inverter. In the proposed scheme the
feedback signal i.e. rotor position (θ
re
) is estimated
using external signal injection scheme. Once the rotor
position is estimated, the rotor speed (ω
re
) can be es-
timated by using Eq. (6) [11]. The inability with most
of the methods to provide accurate rotor position esti-
mation at low speeds, which directly affects the control
performance, would not be a problem with this tech-
nique [12].
4.1. Speed Controller
The speed error between command and estimated val-
ues of speed is processed in the proportional and inte-
c
2016 ADVANCES IN ELECTRICAL AND ELECTRONIC ENGINEERING 31
剩余10页未读，继续阅读
2019-07-14 上传
2020-07-08 上传
2021-06-01 上传
2019-08-16 上传
2013-05-14 上传
2023-01-09 上传
2021-02-11 上传
2019-05-24 上传
2019-08-16 上传
wan100gyu
- 粉丝: 0
- 资源: 2
我的内容管理
展开
最新资源
- Angular程序高效加载与展示海量Excel数据技巧
- Argos客户端开发流程及Vue配置指南
- 基于源码的PHP Webshell审查工具介绍
- Mina任务部署Rpush教程与实践指南
- 密歇根大学主题新标签页壁纸与多功能扩展
- Golang编程入门：基础代码学习教程
- Aplysia吸引子分析MATLAB代码套件解读
- 程序性竞争问题解决实践指南
- lyra: Rust语言实现的特征提取POC功能
- Chrome扩展：NBA全明星新标签壁纸
- 探索通用Lisp用户空间文件系统clufs_0.7
- dheap: Haxe实现的高效D-ary堆算法
- 利用BladeRF实现简易VNA频率响应分析工具
- 深度解析Amazon SQS在C#中的应用实践
- 正义联盟计划管理系统：udemy-heroes-demo-09
- JavaScript语法jsonpointer替代实现介绍
