HF 2 Wang2019 SPM
HF 2 Wang2019 SPM
ABSTRACT In this paper, a novel sensorless control strategy with the injection of a high-frequency pulsating
sinusoidal voltage into a rotating reference frame for a surface-mounted permanent magnet synchronous
motor (SPMSM) is proposed. Conventional schemes may face the problems of applying to the motor with
no obvious salient pole effect, and the effect of filter on the bandwidth of the system. Different from the
conventional schemes, the new proposed strategy injects a high-frequency pulsating sinusoidal voltage signal
is injected into the estimate d-q rotating reference frame, and the rotor position information is obtained from
the response of injected high-frequency current signal in the α-β stationary reference frame other than the
d-q rotating reference frame,which can avoid failure of applying to the SPMSM with no obvious salient
pole effect. With this approach, band-pass filter, which is necessary in the conventional sensorless control,
is removed to simplify the control structure and improve the system dynamic control performance. Therefore,
this paper proposes a simple structure, which modulates the high-frequency current signal directly and only
passes through the low-pass filter to obtain the estimated rotor position angle. Finally, the feasibility of the
improved high-frequency pulsating sinusoidal voltage injection control method is verified by simulation and
experiment.
[6], [7], but also used during calculating the rotor speed for high-frequency signals, the signal injections can be mainly
closed loop control. Hence, a mechanical sensor, such as divided into rotating sinusoidal voltage injection [17], [18],
photoelectric encoder and resolver, is usually mounted on pulsating sinusoidal voltage injection [19], and square-wave
the rotor shaft of a PMSM to obtain an accurate rotor posi- voltage injection [20]–[22],and according to the reference
tion information. However, mechanical position sensors have frame of the injected high-frequency signals, the injec-
some problems, such as difficult installation, complex wiring, tion methods can be mainly divided into two groups:
increasing hardware cost, increasing volume and weight, and 1) HF voltage injection methods in the stationary α-β ref-
easy to fail in special environment such as damp and violent erence frame [23]–[25], 2) HF voltage injection methods in
vibration. Hence, in the PMSM control system where the the rotary d − q reference frame [26]–[28].
position accuracy is relatively low, such as fans and pumps, First of all, this paper studies the conventional high-
the position-sensorless control method is adopted. The advan- frequency pulsating sinusoidal voltage injection method. The
tage of position-sensorless control not only consists in replac- principle of this conventional method is to inject the high-
ing mechanical sensors, but also in providing redundancy frequency pulsating sinusoidal voltage signal into an axis of
protection for the system when the mechanical sensor fails. the estimated synchronous rotating reference frame, which
Therefore, various kinds of sensorless control methods that will interact with rotor-position-dependent saliencies into the
help to remove mechanical sensor in PMSMs drive systems machine and modulate the response currents to estimate the
have been proposed in past decades. rotor position. The information containing the rotor position
The sensorless control scheme was first proposed by angle of the motor is extracted from the high-frequency cur-
Abbondanti in 1975, since then, it has entered a stage of rent component. However, in view of the conventional high-
rapid development [8]–[10]. The sensorless vector control frequency pulsating sinusoidal voltage injection method,
method of PMSM can be divided according to whether the which relies on the salient pole effect of the motor [29], [30],
motor is running at middle and high-speed or low speed. an improved high-frequency pulsating sinusoidal voltage
The high-speed sensorless method based on the electromo- injection method is proposed, in which, the rotor position
tive force (EMF)model to estimate the rotor position works angle information is extracted from the high-frequency cur-
well. In [10], a parallel reduced-order extended Kalman fil- rent response signal in α-β two-phase stationary reference
ter (EKF) for rotor position estimation is proposed for the frame, which is independent of the salient polarity of the
reduction of computation resources. Sliding mode current motor, so it can also be applied to the surface-mounted
observer and the adaptive EMF observer designed to estimate permanent magnet synchronous motor (SPMSM) with no
the rotor speed and position of PMSM are analyzed in [11]. obvious salient polarity effect. Compared with the conven-
In [12], the rotor position estimation scheme is achieved tional method, this method also reduces bandpass filters,
by designing a model reference adaptive system (MRAS) which omits the process of extracting high-frequency sig-
observer on the basis of the control winding stator current. nals from bandpass filters, demodulates iαh and iβh directly,
In the field of combining artificial intelligence algorithms where iαh and iβh are the high-frequency current on the α-β
with motor control, Sun et al. [13], [14] proposed the appli- two-phase stationary reference frame, respectively, and then
cation of neural network algorithm in the field of motor filters through low-pass filters to obtain signals containing
sensorless control. Lin et al. [15] proposed a fuzzy control only the position information of the rotor. This measure sim-
algorithm to compensate the ideal computed torque controller plifies the system structure and eliminates the influence of
designed for the tracking of the rotor position reference phase and amplitude of the system caused by bandpass filters,
command. At present, such methods are often combined which is one of the main problems to be solved.
with other control methods, which is still in the theoretical This paper is organized as follows: In Section II, the
research stage in the field of motor control because of the conventional high-frequency pulsating sinusoidal voltage
complexity of calculation, and there is still a long way to injection method is analyzed. Section III describes the anal-
go before practical applications. At very low speed range, ysis of improved high-frequency pulsating sinusoidal volt-
however, these position-sensorless control methods couldn’t age injection method. Experimental results of high-frequency
work very well because of the small amplitude of back- pulsating sinusoidal voltage injection method are presented
EMF signal. To overcome the drawback that the back-EMF in Section IV to verify the effectiveness of the proposed
is not obvious in the low speed region, usually under 5% sensorless control strategy. Section V summarizes this paper.
of the rated speed, various methods for observing the rotor
position based on the salient pole effect or the saturated II. ANALYSIS OF CONVENTIONAL HIGH-FREQUENCY
salient pole effect of the motor have been presented [16],in PULSATING SINUSOIDAL VOLTAGE INJECTION
In the d and q reference frames, the voltage equation of a
which, the most popular methods are high-frequency (HF)
PMSM can be written as below:
signal injection methods. The salient-pole tracking method
based on high-frequency injection does not depend on d
ud = Rid + Ld id − ωr Lq iq
the back EMF and motor parameter information, and can dt (1)
achieve better estimation results in the low speed or even uq = Riq + Lq d iq + ωr Ld id + ωr ψf
zero speed range. According to the types of the injected dt
VOLUME 7, 2019 86511
S. Wang et al.: Improved Position-Sensorless Control Method at Low Speed for PMSM
where ud , uq , id , iq , Ld , Lq are the d-q axis stator voltages, d-q Substituting (3) into (4), the following can be obtained as:
axis stator currents, d-q axis inductances, respectively, where 1
R, ωr , λmpm are the stator resistances, the rotational speed of 0
îdh −1 Ldh udh
the motor, the permanent magnet flux linkage, respectively. p = T (1θ) 1 uqh (6)
îqh 0
This formula represents the actual d-q reference frame and
Lqh
cannot be directly used for position estimation, so it needs to
be converted to the estimated position reference frame, or the According to the coordinate axis of the injected high-
α-β stationary reference frame. When the PMSM runs at frequency signal, the injection mode can be divided into two
zero or low speed range, the product related to ωr in formula groups: 1) Uh cos (ωh t) is injected from the d̂-axis, and then
(1) can be omitted. Therefore, formula (1) can be simplified îq is extracted from the q̂ -axis for detection. 2) Uh cos (ωh t)
as below: is injected from the q̂ -axis, and then îq is extracted from the
d d̂ -axis for detection. Where ωh is the angular frequency of
ud = Rid + Ld id
the high-frequency injection signal.
dt (2)
uq = Riq + Lq d iq
Substituting (5) into (6), the relationship between current
dt and voltage in the estimated d̂ − q̂ two-phase rotating ref-
When the frequency of the injected signal is much larger erence frame can be obtained. If the high-frequency voltage
than the rotational frequency of the motor itself, in this case, injection axis is chosen on the d̂ -axis, the high-frequency
the PMSM is equivalent to the pure inductance model [29], current response is:
so the formula (2) can be written as below:
Uh sin (ωn t) Lqh cos 1θ + Ldh sin 1θ
2 2
îdh
udh Ldh 0 i = sin(21θ) (7)
P dh ωn Ldh Lqi
= (3) îqh Lqh − Ldh
uqh 0 Lqh iqh 2
where udh , uqh , idh , iqh , Ldh , Lqh , P are d-q axis high- If the high-frequency voltage injection axis is chosen on the
frequency voltage, d-q axis high-frequency current, d-q axis q̂ -axis, the high-frequency current response is:
high-frequency inductances, derivative operator, respectively.
sin(21θ)
Uh sin (ωh t)
îdh Lqh − Ldh (8)
= 2
îqh ωh Ldh Lqh L cos 1θ + L sin 1θ
2 2
qh dh
1 1 1 1
cos θ cos 1θ + sin θ sin 1θ cos θ sin 1θ − sin θ cos 1θ
iαh Ldh Lqh Ldh Lqh ûdh
P =
(15)
iβh 1 1 1 1 ûqh
sin θ cos 1θ − cos θ sin 1θ sin θ sin 1θ + cos θ cos 1θ
Ldh Lqh Ldh Lqh
Substituting (16) into (15), the formula (17) can be From the phase-frequency characteristic curve, it can be
obtained as: seen that a high-frequency signal passing through the band-
1 1 pass filter produces a phase shift of 0.21 rad at 900 Hz. This
cos θ cos 1θ + sin θ sin 1θ phase shift also changes as the order of the filter, the cut-off
iah Uh L Lqh
di
= frequency, the passband bandwidth, and the frequency of the
iβh ωh 1 1
injected high frequency signal change. Therefore, the use of
sin θ cos 1θ − cos θ sin 1θ
Ldi Lqi a bandpass filter causes a phase shift in the signal and a bias
sin ωh t (17) in the estimated angle, which is one of the main problems to
be solved below.
It can be seen from formula (17) that the high-frequency Document [33], [34] analyses the angle estimation error
current response in α-β two-phase stationary reference frame caused by bandpass filter, and proposes a phase compensation
contains rotor position information. If the angular error 1θ is algorithm, which improves the angle error effectively. How-
small enough, the estimated rotor position converges to the ever, additional compensation algorithm needs to add a large
actual rotor position. Ldh is equal to Lqh for a SPMSM, so the number of calculation modules, which further increases the
stationary α-β two-phase high-frequency current response complexity of the system.
can be simplified as follows: In order to solve the signal phase shift problem caused by
iαh
Uh
cos θ
the band-pass filter, this paper adopts the method that the
= sin ωh t (18) static two-phase current iαh and iβh have modulated directly.
iβh ωh Ldh sin θ
Only the low-pass filter is required to obtain the signal con-
In position-sensorless control using high-frequency pul- taining the rotor position information, and the band-pass filter
sating sinusoidal voltage injection method, the current vec- is omitted, which simplifies the system structure and elimi-
tor iαβ in two-phase stationary reference frame includes the nates the effects of bandpass filters on signal amplitude and
fundamental current vector iαβb , the high-frequency current phase. The structure diagrams before and after simplification
component iαβh , and the high order harmonic current vector are shown in Figure 5.
iαβx caused by the PWM switching signal.
iαβb × 2 sin ωh t
i
= αb 2 sin ωh t
iβb
cos ωr t − θp
= 2k sin ωh t
sin ωr t − θp
sin (ωr + ωh ) t + sin (ωh − ωr ) t − 2θp sin ωh t
=k
cos (ωr + ωh ) t − cos (ωh − ωr ) t − 2θp sin ωh t
FIGURE 4. Phase-frequency characteristic curve of bandpass filter. (20)
C. SIMULATION RESULTS
The feasibility of the improved high-frequency pulsating
sinusoidal voltage injection method has been verified by
theoretical analysis. Due to the complexity of the con-
trol system, simple theoretical analysis is difficult to func-
tion in system analysis and design, so it is necessary to
carry out auxiliary verification through computer simulation
research. In this paper, the conventional high-frequency pul-
sating sinusoidal voltage injection method and the improved
FIGURE 10. Test bench description. high-frequency pulsating sinusoidal voltage injection method
for PMSM rotor position estimation model are built on
as follows: MATLAB/Simulink simulation platform to verify the correct-
ness of theoretical derivation. The simulation parameters of
ε = kh sin(θ − θ̂) ≈ kh (θ − θ̂) (23)
the motor body in this paper are derived from a SPMSM used
Therefore, the closed-loop transfer function of the two-phase in the experiment. The rated voltage and the rated current are
phase-locked loop can be expressed as: set to 24V, and 4.6A, respectively, in the simulations. The
rated power of the motor, the pole pair, the stator resistance
θ̂ kh kp s + kh ki
= 2 (24) and the cross-axis inductance are set to 70W, 2 pairs, 0.27,
θ s + kh kp s + kh ki and 0.9mH, respectively.
Since kh is a positive number, it can be judged from Rolls- The vector control strategy of id = 0 is adopted in the
Holwitz theorem that the system is stable when kh kp and simulation to realize the position sensorless control of the
FIGURE 12. Conventional high-frequency pulsating sinusoidal voltage FIGURE 13. Improved high-frequency pulsating sinusoidal voltage
injection method for rotor position observation at 100rpm. (a) Angle injection method for rotor position observation at 100rpm. (a) Angle
comparison. (b) Angle contrast magnification. comparison. (b) Angle contrast magnification.
FIGURE 16. Improved high-frequency pulsating sinusoidal voltage FIGURE 17. Phase current waveform of high-frequency pulsating
injection method for rotor position observation during steering abrupt sinusoidal voltage injection method. (a)Phase current waveform of motor
change. (a) Steering of motor from forward to reverse. (b) Steering of under no load. (b) Phase current waveform of motor loading.
motor from reverse to forward.
a waveform obtained by modulating the current iαβh . The improved high-frequency pulsating sinusoidal voltage injec-
waveform in Fig.11(a) passes through a digital low-pass filter tion method is about 0.08 rad, and the phase delay is about
and outputs the waveform in Fig.11(b). The rotor angle signal 0.03 rad. The improved method eliminates the influence of
of the motor can be observed after the waveform of Fig.11(b) band-pass filter on angle estimation performance, improves
passes through the observer. the estimation accuracy and reduces the phase delay of angle
From the experimental waveforms, it can be seen that estimation, so it has better steady-state performance.
the digital low-pass filter designed in the experiment can
effectively obtain the sinusoidal wave signal containing the C. OBSERVATION EXPERIMENT OF ROTOR POSITION
position information of the rotor. OF MOTOR IN SUDDEN CHANGE OF SPEED
Fig.14 is the experimental waveform of rotor position obser-
B. OBSERVATION EXPERIMENT OF MOTOR ROTOR vation in case of sudden change of speed. Among them,
POSITION AT 100RPM OPERATION Fig.14(a) is the rotor position observation waveforms
Given the motor speed of 100 rpm, Fig.12 is the exper- obtained by using the conventional high-frequency pulsat-
imental waveform of rotor position observation based on ing sinusoidal voltage injection method. Fig.14(b) is the
conventional high-frequency pulsating sinusoidal voltage rotor position observation waveforms obtained by using the
injection method and Fig.13 is the experimental waveform of improved high frequency pulse voltage injection method.
rotor position observation based on improved high-frequency From the experimental waveforms, it can be seen that the
pulsating sinusoidal voltage injection method. two high-frequency injection position estimation methods
The experimental waveforms show that the two high- can effectively observe the rotor position information in case
frequency injection methods can effectively observe the rotor of sudden change of rotational speed. The phase delay of
position. The steady-state error between the estimated angle the improved high-frequency pulse voltage injection method
and the actual angle of the conventional high-frequency pul- is about 0.05 rad, which is obviously reduced compared
sating sinusoidal voltage injection method is about 0.12 rad, with the angle phase delay of 0.1 rad before improvement.
and the phase delay is about 0.06 rad. The steady-state error The observation effect is better than the previous angle
between the estimated angle and the actual angle of the observation.
V. CONCLUSION
In this paper, an improved position-sensorless control method
for PMSM based on high-frequency signal injection into a
FIGURE 18. Rotor position observation under sudden load.
(a) Conventional high-frequency pulsating sinusoidal voltage injection rotary reference frame is proposed. Firstly, in order to solve
method. (b) Improved high-frequency pulsating sinusoidal voltage the problem that the conventional high-frequency voltage
injection method.
injection method is not suitable for motor with no obvious
D. OBSERVATION EXPERIMENT OF ROTOR POSITION
salient pole effect, a method of extracting high-frequency
OF MOTOR IN SUDDEN CHANGE OF STEERING
current response signal in α-β two-phase stationary refer-
Fig.15 and Fig.16 respectively show the experimental wave- ence frame is proposed. Then, based on the improved high-
forms of the rotor position when the motor steering abruptly frequency pulsating sinusoidal voltage injection method, this
changes with the conventional high-frequency pulsating sinu- paper adopts the method that the static two-phase current
soidal voltage injection method and the improved high- lαh and iβh have modulated directly. Only the low-pass filter
frequency pulsating sinusoidal voltage injection method at is required to obtain the signal containing the rotor posi-
the speed of 100rpm. tion information, and the band-pass filter is omitted, which
It can be seen from the experimental waveform that the simplifies the system structure and eliminates the effects
two high-frequency injection methods can effectively observe of bandpass filters on signal amplitude and phase. Finally,
the rotor position information under the condition of sud- experiments show that the dynamic steady state performance
den change of the steering. The conventional high-frequency of this method is better than the previous method.
pulsating sinusoidal voltage injection method has an angular
REFERENCES
error of about 0.17 rad and a phase delay of about 0.1 rad.
[1] R. Ni, D. Xu, G. Wang, X. Gui, G. Zhang, H. Zhan, and C. Li, ‘‘Efficiency
The improved high-frequency pulsating sinusoidal voltage enhancement of general AC drive system by remanufacturing induction
injection method has an angular error of about 0.12 rad and motor with interior permanent-magnet rotor,’’ IEEE Trans. Ind. Electron.,
a phase delay of about 0.06 rad. Compared with previous vol. 63, no. 2, pp. 808–820, Feb. 2016.
[2] G. Zhang, G. Wang, D. Xu, and N. Zhao, ‘‘ADALINE-network-
method, the angle observation error is smaller and the phase based PLL for position sensorless interior permanent magnet syn-
delay is also reduced. chronous motor drives,’’ IEEE Trans. Power Electron., vol. 31, no. 2,
pp. 1450–1460, Feb. 2016.
E. OBSERVATION EXPERIMENT OF ROTOR POSITION [3] S. K. Kommuri, M. Defoort, H. R. Karimi, and K. C. Veluvolu, ‘‘A robust
observer-based sensor fault-tolerant control for PMSM in electric vehi-
OF MOTOR UNDER SUDDEN LOAD cles,’’ IEEE Trans. Ind. Electron., vol. 63, no. 12, pp. 7671–7681,
Fig.17 is the phase current waveform of the high-frequency Dec. 2016.
pulsating sinusoidal voltage injection method under sudden [4] P. E. Kakosimos, A. G. Sarigiannidis, M. E. Beniakar, A. G. Kladas,
and C. Gerada, ‘‘Induction motors versus permanent-magnet actuators
load, in which the amplitude of the injected sinusoidal wave for aerospace applications,’’ IEEE Trans. Ind. Electron., vol. 61, no. 8,
is 10V and the frequency is 1000Hz. pp. 4315–4325, Aug. 2014.
[5] R. Ni, D. Xu, G. Wang, L. Ding, G. Zhang, and L. Qu, ‘‘Maximum effi- [26] S.-C. Yang and R. D. Lorenz, ‘‘Surface permanent-magnet machine self-
ciency per ampere control of permanent-magnet synchronous machines,’’ sensing at zero and low speeds using improved observer for position, veloc-
IEEE Trans. Ind. Electron., vol. 62, no. 4, pp. 2135–2143, Apr. 2015. ity, and disturbance torque estimation,’’ IEEE Trans. Ind. Appl., vol. 48,
[6] X. Zhang, B. Hou, and Y. Mei, ‘‘Deadbeat predictive current control of no. 1, pp. 151–160, Jan./Feb. 2012.
permanent-magnet synchronous motors with stator current and disturbance [27] G. Wang, G. Zhang, R. Yang, and D. Xu, ‘‘Robust low-cost control
observer,’’ IEEE Trans. Power Electron., vol. 32, no. 5, pp. 3818–3834, scheme of direct-drive gearless traction machine for elevators without a
May 2017. weight transducer,’’ IEEE Trans. Ind. Appl., vol. 48, no. 3, pp. 996–1005,
[7] G. Xie, K. Lu, S. K. Dwivedi, J. R. Rosholm, and F. Blaabjerg, ‘‘Minimum- May/Jun. 2012.
voltage vector injection method for sensorless control of PMSM for [28] Y.-D. Yoon, S.-K. Sul, S. Morimoto, and K. Ide, ‘‘High-bandwidth sen-
low-speed operations,’’ IEEE Trans. Power Electron., vol. 31, no. 2, sorless algorithm for AC machines based on square-wave-type volt-
pp. 1785–1794, Feb. 2016. age injection,’’ IEEE Trans. Ind. Appl., vol. 47, no. 3, pp. 1361–1370,
[8] S.-C. Yang, S.-M. Yang, and J.-H. Hu, ‘‘Robust initial position estimation May/Jun. 2011.
of permanent magnet machine with low saliency ratio,’’ IEEE Access, [29] J. M. Liu and Z. Q. Zhu, ‘‘Novel sensorless control strategy with injection
vol. 6, pp. 2685–2695, Feb. 2017. of high-frequency pulsating carrier signal into stationary reference frame,’’
[9] H.-Q. Nguyen and S.-M. Yang, ‘‘Rotor position sensorless control of IEEE Trans. Ind. Appl., vol. 50, no. 4, pp. 2574–2583, Jul./Aug. 2014.
wound-field flux-switching machine based on high frequency square-wave [30] X. Qiu, W. Huang, and F. Bu, ‘‘Sensorless direct torque control of interior
voltage injection,’’ IEEE Access, vol. 6, pp. 48776–48784, Aug. 2018. permanent magnet synchronous machines over wide speed range,’’ Trans.
[10] N. K. Quang, N. T. Hieu, and Q. P. Ha, ‘‘FPGA-based sensorless PMSM China Electrotech. Soc., vol. 29, no. 9, pp. 92–99, 2014.
speed control using reduced-order extended Kalman filters,’’ IEEE Trans. [31] H. Jiabing and H. Y. Nianhong, ‘‘Sensorless technology of surface-
Ind. Electron., vol. 61, no. 12, pp. 6574–6582, Dec. 2014. mounted PMSM at zero speed based on magnetic saturation salient effect,’’
[11] T. Bernardes, V. F. Montagner, H. A. Gründling, and H. Pinheiro, J. Elect. Eng. China, vol. 26, no. 10, pp. 152–157, 2006.
‘‘Discrete-time sliding mode observer for sensorless vector control of [32] L. Ying, ‘‘Research on high-frequency pulse signal injection sensorless
permanent magnet synchronous machine,’’ IEEE Trans. Ind. Electron., technology for permanent magnet synchronous motor,’’ Nanjing Univ.
vol. 61, no. 4, pp. 1679–1691, Apr. 2014. Aeronaut. Astronaut., Nanjing, China, Tech. Rep., 2012.
[12] G. Zhang, J. Yang, M. Su, W. Tang, and F. Blaabjerg, ‘‘Stator-current- [33] S.-I. Kim and R.-Y. Kim, ‘‘Analysis and compensation of band-pass-filter
based MRAS observer for the sensorless control of the brushless doubly- delay for a high frequency signal injected sensorless control,’’ in Proc. 17th
fed induction machine,’’ in Proc. IEEE Appl. Power Electron. Conf. Expo., EPE ECCE-Eur., Sep. 2015, pp. 1–8.
Mar. 2017, pp. 3150–3155. [34] S. Jung and J.-I. Ha, ‘‘Design and analysis of analog filtering method for
[13] X. Sun, L. Chen, Z. Yang, and H. Zhu, ‘‘Speed-sensorless vector con- signal injection based sensorless control,’’ in Proc. 29th APEC, Mar. 2014,
trol of a bearingless induction motor with artificial neural network pp. 1573–1578.
inverse speed observer,’’ IEEE/ASME Trans. Mechatronics, vol. 18, no. 4,
pp. 1357–1366, Aug. 2013.
[14] X. Sun, L. Chen, H. Jiang, Z. Yang, J. Chen, and W. Zhang, ‘‘High-
performance control for a bearingless permanent-magnet synchronous
motor using neural network inverse scheme plus internal model con- SHUANG WANG was born in Jilin, China,
trollers,’’ IEEE Trans. Ind. Electron., vol. 63, no. 6, pp. 3479–3488, in 1977. He received the B.S., M.S., and Ph.D.
Jun. 2016. degrees in electrical engineering from the Harbin
[15] F.-J. Lin, K.-J. Yang, I.-F. Sun, and J.-K. Chang, ‘‘Intelligent position Institute of Technology, Harbin, China, in 2000,
control of permanent magnet synchronous motor using recurrent fuzzy 2005, and 2009, respectively. Since 2010, he has
neural cerebellar model articulation network,’’ IET Electr. Power Appl., been with the School of Mechatronic Engineering
vol. 9, no. 3, pp. 248–264, Oct. 2014. and Automation, Shanghai University, Shanghai,
[16] X. Qiu, W. Wang, J. Yang, J. Jiang, and J. Yang, ‘‘Phase-inductance-based China, where he is currently an Assistant Profes-
position estimation method for interior permanent magnet synchronous sor. His current research interests include intel-
motors,’’ Energies, vol. 10, no. 12, p. 2002, 2017.
ligent control theory and its application to new
[17] Z. Zhu, A. Almarhoon, and P. Xu, ‘‘Improved rotor position estimation
energy vehicles, power electronics, and servo control systems.
accuracy by rotating carrier signal injection utilizing zero-sequence carrier
voltage for dual three-phase PMSM,’’ IEEE Trans. Ind. Electron., vol. 64,
no. 6, pp. 4454–4462, Jun. 2017.
[18] T. Szalai, G. Berger, and J. Petzoldt, ‘‘Stabilizing sensorless control down
to zero speed by using the high-frequency current amplitude,’’ IEEE Trans. KANG YANG received the B.S. degree in elec-
Power Electron., vol. 29, no. 7, pp. 3646–3656, Jul. 2014. trical engineering and automation from Anhui
[19] M. Seilmeier and B. Piepenbreier, ‘‘Sensorless control of PMSM for the Jianzhu University, Hefei, China, in 2014 and
whole speed range using two-degree-of-freedom current control and HF
2018, respectively. He is currently pursuing the
test current injection for low-speed range,’’ IEEE Trans. Power Electron.,
M.S. degree with the School of Mechatronic Engi-
vol. 30, no. 8, pp. 4394–4403, Aug. 2015.
neering and Automation, Shanghai University,
[20] Y.-D. Yoon and S.-K. Sul, ‘‘Sensorless control for induction machines
based on square-wave voltage injection,’’ IEEE Trans. Power Electron., Shanghai, China. His research interests include
vol. 29, no. 7, pp. 3637–3645, Jul. 2014. position-sensorless control, high-frequency volt-
[21] S.-C. Yang and Y.-L. Hsu, ‘‘Full speed region sensorless drive of age injection control, power electronics devices,
permanent-magnet machine combining saliency-based and back-EMF- and electric motor control systems.
based drive,’’ IEEE Trans. Ind. Electron., vol. 64, no. 2, pp. 1092–1101,
Feb. 2017.
[22] G. Zhang, G. Wang, B. Yuan, R. Liu, and D. Xu, ‘‘Active disturbance rejec-
tion control strategy for signal injection-based sensorless IPMSM drives,’’
IEEE Trans. Transp. Electrific., vol. 4, no. 1, pp. 330–339, Mar. 2018.
KANG CHEN was born in 1993. He received
[23] Z. Q. Zhu and L. M. Gong, ‘‘Investigation of effectiveness of sensorless the B.E. degree from the Shandong University
operation in carrier-signal-injection-based sensorless-control methods,’’ of Technology, Zibo, China, in 2016. He is cur-
IEEE Trans. Ind. Electron., vol. 58, no. 8, pp. 3431–3439, Aug. 2011. rently pursuing the M.S. degree with the School of
[24] S. Kim and S.-K. Sul, ‘‘High performance position sensorless control using Mechanical Engineering and Automation, Shang-
rotating voltage signal injection in IPMSM,’’ in Proc. 14th Eur. Conf. hai University, Shanghai, China. His research
Power Electron. Appl. (EPE), Aug./Sep. 2011, pp. 1–10. interests include motor drives and control of
[25] C. M. Wolf and R. D. Lorenz, ‘‘Using the motor drive as a sensor to extract PMSM.
spatially dependent information for motion control applications,’’ IEEE
Trans. Ind. Appl., vol. 47, no. 3, pp. 1344–1351, May/Jun. 2011.