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PMSM Control System Based on Digital Signal Processor
Zhu Jun, Li Wankui, Han Lili Henan Polytechnic University, College of Electrical Engineering and Automation,
Henan Jiaozuo, China Email: [email protected]
Abstract—For the high power density of PMSM, designed the corresponding drive controller to improve the servo efficiency of PMSM servo system. According to the theory of math model of PMSM under the dq coordinate system, applied id = 0 vector control method as a PMSM control strategy, established PMSM controller model based on vector control. Taking DSP TMS320F2812 as controller core, built a power-driven circuit, control circuit and the main detection protection circuit. The algorithm of control program was completed on the hardware platform to present its software processes. The simulation results show that: the control system response is fast, can track the given speed and position quickly and accurately. The speed fluctuation, overshoot and steady state error are very small. The designed controller is reasonable, which has better dynamic and static characteristics, and be benefit to improve the efficiency of PMSM servo system.
Index Terms—PMSM, Overall Control system, DSP,
Controller
I. INTRODUCTION
With the rapid development of permanent magnet materials, power electronics and control theory, based on vector control of PMSM its excellent control performance, high power density and high efficiency, more and more used in a variety of high-performance servo systems and other fields of industrial production [1-2]. In recent years, the development of various control method [3-4] and vector control theory and methods become mature gradually, the progress of integrated circuits and computer technology, the PMSM vector control system has been a great development. The vector control of PMSM based on the mathematical model in the dq coordinate system, through conversion of vector model; realize that it has completely decoupled control of stator current. It has like a DC motor control performance, and thus more widely applied [5].
This paper introduces the mathematical model of PMSM in the dq coordinate system, modeling and analysis of PMSM vector control strategies based on the
0di = , for DSP TMS320F2812 as controller core, built a power-driven circuit, control circuit, feedback circuit and the main auxiliary circuit. The algorithm of control program was completed based the hardware platform, and presented its software processes. Constitute a high-performance PMSM vector control system, and
through experimental results demonstrate the superiority of the system.
II.SYSTEM MODEL
A.The Mathematical Model of the PMSM
By the assumption of the desired motor, can be deduced from the mathematical model of PMSM in dq coordinate system [6]:
Stator flux equation: d d d fL iψ ψ= + (1)
=q q qL iψ (2)
In the formula, di , qi is the -d q axis stator current;
dψ , qψ is the -d q axis stator flux; dL , qL is the
-d q axis stator inductance; fψ is the magnetic potential generated by the permanent magnets on the rotor.
Stator voltage equation: d
d s d r q
du R i
dt
ψω ψ= + − (3)
q
q s q r d
du R i
dt
ψω ψ= + − (4)
In the formula, du , qu is the -d q axis stator voltage;
rω is the rotor angular velocity; sR is the stator resistance.
Electromagnetic torque equation:
3 3= ( - )= [ -( - ) ]2 2e n d q q d n f q q d d qT p i i p i L L i iψ ψ ψ (5)
In the formula, eT is the electromagnetic torque; nP is the number of pole pairs.
Equations of motion:
= - -re r L
dJ T B T
dt
ωω (6)
In the formula, J is a moment of inertia( 2kg m⋅ );
LT is the load torque( N m⋅ ), eT is the output torque( N m⋅ ); B is the viscous friction coefficient.
B. The Basic Principle of PMSM Vector Control
In the field oriented coordinates, PMSM vector control
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simulates the DC motor torque control law, the current vector is decomposed into the excitation current component to produce magnetic flux and the generated torque of the torque current component, the two current components are adjusted respectively, so that decoupling control is realized to control torque component and flux component of PMSM respectively [7-9].
According to the same principle of magnetic potential and power, the coordinate transformation is made to three-phase voltage, current and flux for PMSM. Stationary coordinate system of the three-phase ABC transforms into 0dq rotating coordinate system, stator current vector is decomposed into the rotor field oriented two mutually orthogonal current component, they are excitation component di and torque component qi of stator
current [6]. Set 0di = ,the component qi is controlled, it is equivalent to control the torque directly. Electromagnetic torque eT and qi are linear relationship, so that the system has good mechanical properties and dynamic performance. qi Regulating reference volume
is given by the speed controller, the -d q axis voltage components are output after current loop adjustment, which are du , qu . The component uα and uβ are
obtained through anti-Parke transform for du and qu in
the α β− coordinate system. According to the value size of uα and uβ and SVPWM space vector method, the output of the vector control is obtained to achieve the purpose of vector Control. It is 0di = vector control block diagram as shown in Figure 1.
SpeedController PI
PI
ParkTransfo-rmation
Anti-Park
Transfor-mation
SVPWM
generator
Clark
Inverter
-
-
-
Speed
Optical encoder
dU
qU
di
qi
Uα
Uβ
iα
iβ
aibi
ci
rθ
Position
Controller-
Position
dref 0i =
rθrθ
rθ
*rθ
rθ∆ *rω
rω
rω∆qrefi
1/s rω
Transfor-mation
Figure 1. PMSM Vector Control Block Diagram
III. SYSTEM DESIGN
A. The Hardware Structure of the Controller The controller system includes a main power circuit,
control circuit and the motor. The control loop is mainly composed by the master DSP chip and sampling detection circuit. The most advanced chip TMS320F2812 DSP which frequency is 150MHz was used as core controller. The control chip is used widely in the high precision servo control, variable frequency power supply and other areas, while it is the best choice of motor and digital control [10].
System hardware block diagram is shown in Figure 2, the 220V AC is rectified, and filter capacitor filter to obtain a smooth DC output, and finally the alternating current supply was obtained for PMSM through the inverter circuit to convert.
IPM
Rectifier Circuit
Opto
-isolation
Detection and
Protection Circuit
PMSM
TMS
320
F2812
PDPINT
PWM
Current Detection
ADC
Speed and Position Detection
QEP
PCSCI
IO Interface Circuits
Keyboard and
Display Circuit
GIPO
SPI
Figure 2. PMSM Control System of the Block Diagram
The stator phase current signal detected by hall current sensor is sent to DSP through the ADC module, it constitutes the current closed-loop control system. The rotor speed and position signal detected by optical encoder are sent to DSP through the QEP module, it constitutes the speed and position control loop. In the DSP, corresponding op conversion is made applying the soft program for the detected signal, SVPWM pulse drives signal is generated which is required in the control. It drives the IPM intelligent power module through opto-isolation circuit, controls the turn-on and turn-off time of IGBT and generates the corresponding voltage signal which controls the motor running. When the system detects fault signal, it is transmit to the DSP power protection input interrupt pins (PDPITNT) through the opto-isolation circuit, so that the power protection interrupt signal is generated to turn off the 6-channel PWM signal output pulse signal achieving the protection of system failure. In addition, the DA converter, PC connection and other external auxiliary circuits are realized through the DSP's SPI, SCI, and GIPO interface.
B. Main Power Circuit Design The system's main power circuit consists of a rectifier
circuit, filter circuit and the IPM module. The rectifier circuit part uses single-phase uncontrolled rectifier module GBJ25M. AC is rectified DC, the maximum voltage is 2 220 311V× = , GBJ25M rectifier modules are fully able to meet the requirements. The pressure of the filter capacitor is at least as 375V, so the paper selected two 330 / 450f Vµ capacitors in parallel with a decrease of the ESR of the capacitor, the pressure value is 450V , the capacitance is 660 fµ .
This paper inverter circuit part adopts IPM PS21964, it integrates high-voltage power transistor drive circuit in their own internal, and owns built-in overvoltage, over-current and overheating fault detection circuit, so that it can ensure the safe operation and reliable operation for the controller.
Its rated voltage is 600V, rated current is 15A for the
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PS21964, and the inverter output power is: 3 cosP V Iout out out ϕ= (7)
In the formula, outV is the output voltage rams
value; outI is the output current rms value; cosϕ is the power factor.
When inverter operates, taking into account the requirements of motor overload, inverter takes power rating of 1.5 times margin, the power factor is 0.7[11], so the maximum output power of the inverter is:
3 220 15 0.7 1.5 2.6maxP KW= × × × ÷ = (8) It has the ability to drive 1KW motor.
C. Phase Current Detection Circuit The control loop in order to achieve the current loop,
speed loop and position loop three closed-loop control, DSP will detect the current signal, speed signal, and location of the signal after the program operation processing, Event Manager EVA and EVB produce 6-channel PWM signal to control the inverter turn-on and turn-off.
PMSM vector control system with 0di = control strategy must be timely detection the size of the stator phase current value. In this paper, TKC-10P takes as closed-loop hall current sensor. Motor using a Y-shaped connection can only detect two phase currents, shown in Figure 3, in order to achieve the current closed-loop control.
TKC-10P
Uo
Ui
6
5
2143
-V
GNDO/P+V
-15V
+15V
-15
+15
R3
R5
R4R6
R7
R2
+5
R8
+3.3
R1 C1+
- LM358
LM358 LM358
BAV99
OUT
IN-
+
-
+
ADCINAI
Figure 3. Current Sensing Circuit
The system utilizes TMS320F2812 has 12 high-resolution of the AD converter, to improve the accuracy and timeliness of the current sampling. DSP's ADC input voltage range is 0 to 3.3V, the hall current sensor output current is a bipolar signal, it needs convert the detected current signal into the voltage signal through converter circuit, so that the DSP can identify the signal. The current sensor detects the current signal of the first through the RC filter, and then through a voltage follower, then is made DC bias through the op amp circuit, finally a proportion of operations is made, the output signal range from 0 to 3.3v is obtained. Bias voltage of +5V, the op amp circuit uses a high-speed dual op amp chip LM358. Use switching diode BAV99 as the voltage clamp circuit to prevent voltage exceeds +3.3V.
D. Position Detection Circuit Position detection is achieved by using the optical
encoder, the article selected the hybrid optical encoder, its single ring pulse number is 2000.Signal output adopts differential driver, It can reduce the common mode interference of the signal transmission. The rotor position
detection circuit is shown as in Figure 4.
R3
R4
+5 +3.3
R5
R6
+3.3
C2
R2
R1
C1
+5
U
MM74HC14
6N13774HC14
QEP
+3.3
74HC14
+3.3BAV99
Figure 4. Rotor Position Detection Circuit
According to U,V,W edge of the trigger signal to determine the initial position of the rotor in which the motor is started. Encoder output U,V,W signal after 74HC14, output for the three-way interaction difference of 120 electrical angle, the width of 180 electrical angle of the square wave signal, then after the isolation of high-speed optocoupler6N137,shaping the signal through the Schmitt trigger MM74HC14, to ensure the accuracy of position detection. Finally, through the QEP module is input to TMS320F2812.
E. Speed Detection Circuit Optical encoder output is six-way differential signals
A ±,B ±,Z ±, its output voltage range is from 0 to 5v, the signal need to be converted by using the differential receiver. Rotor speed detection circuit is shown as in Figure 5.
R1
C1
R2
R3
C2
C3
+
-
+5
C4
R4
R5
+5 +3.3
R6
R7
+3.3
C5 QEPA+
A-
DS3486
6N13774HC14
+3.3BAV99
Figure 5. Speed Detection Circuit
In this paper, the encoder pulse signals are converted into a single output signal by DS3486, and then isolated by the opto-coupler 6N137, shaping the signal through the Schmitt triggers 74HC14. Finally, the signals are input to TMS320F2812 through the QEP module.
F .The Design of Limiting the Current Starting Circuit
The auxiliary circuit of the system by limiting the current starting circuit, DC bus over-current protection circuit, voltage detection circuit, braking circuit, power circuit, chip voltage monitor circuit, the serial communication interface circuit and its peripheral circuits.
Limit the current starting circuit in order to prevent the starting current is too large, while damage to the bridge rectifier, during the motor starter. The main circuit will produce a very high current when power is connected, at this point relays no action, +5 V supply is not turned on, current through the thermostat flow into the filter capacitor, thermostat to play the role of limit the current. Delay in seconds, normal both ends of the filter capacitor
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voltage, DC bus current is reduced, at this time+5 V power supply connected, the normally open relay contact pull, the thermostat short-circuit, end of the limit the current starting. Limit the current starting circuit shown in Figure 6.
+5V
PTC
K
D1
Figure 6. Limit the Current Starting Circuit
G.DC Bus Over-current Protection Circuit
When the DC bus current is too large, IPM module can easily be burned, therefore designed a DC bus over-current protection circuit, Shown in Figure 6. In the filter circuit and IPM modules in series one 0.02Ω sampling resistor, the over-current protection circuit to monitor the pressure drop across the sampling resistor. Over-current detection signal is active low, when the DC bus current is normal, the transistor Q5 is turned off, the comparator LM2903 inverting input is grounded, +15 V power input access the same phase, LM2903 output invalid high signal; When the DC bus over-current, transistor Q5 turns on, comparator LM2903 output low flow signal through opto-coupler to PDPINT pins. Immediately cut off the PWM signal output and LED alarm instructions after DSP receive over-current signal.
+5V
+3.3V
+
-
R1
R2
Q1
D1
R3
R4
R5
R6 C1 C2
C3 C4
R7
LM2903PDPINT
DCP
Figure 7. DC Bus Over-current Protection Circuit
H. Voltage Detection Circuit The DC bus voltage detection circuit uses a
closed-loop hall voltage sensor, the detected voltage signal is connected to voltage follower circuit through the TLV2374 of precision op amp. It is sent into DSP chip by the A/D converter. When the bus voltage is larger than 380V, the controller sends a brake signal. When the bus voltage is less than 120V, DSP takes as under voltage state, its principle is same as over voltage. The voltage detection circuit is shown as in Figure 8.
+
-
C3
DCP
R1
C1
+5V
C4
C2
R4
R 2
R3
1
4
3
2
11R 5
A
TLV2374ID
+3.3V
ADC
D1
D2
Figure 8. Voltage Detection Circuit Diagrams
I. Dynamic Braking Circuit When the servo driver brakes frequently with a large
inertia load, servo motor will in the power generation state, but rectifier part of the system is uncontrollable rectifier circuit, the energy can’t be fed back into the grid, DC bus voltage of the system will rapidly increase. It is easier to be damaged for the energy storage capacitors, power module, so the dynamic braking circuit must be added for the servo drive system. The TMS320F2812 chip GPIOA pins sends out the brake signal, first through opto-isolation, and then through diode NPVIDT2227 to be amplified 15V level signal, it drives the power transistor Q4 to be turn on, the power is consumed in the resistor R10. When the DC bus voltage is less than 360v, the driven power transistor Q4 is turn off, the braking process is ended The brake circuit is shown as in Figure 9.
NC
4N25
+3.3V
1
2
3
Q1
C1 C2
GPIOA
R1
R2
6
4 5
5C3 C4
+5V
R42
6
1
4
33
2
+5VDCP
D1
Q2
21
R5
3
MMDT2227
R3
Figure 9. Dynamic Braking Circuit
J. Power Management Circuit
TPS767D301
+5V
1
2
3
4
5
6
7
8
9
10
11
12
13
14 15
16
17
18
19
20
21
22
23
24
25
26
27
28 DSP_RST1
SENSE
DSP_RST2
1.8V
3.3V
C3 C4
C5 C6
C1 C2
R1
R2
Figure 10. Power Management Circuit
The circuit voltage is 3.3V for TMS320F2812 peripheral interface, its core voltage is 1.8V. In the Paper, power management chip TPS767D301is selected, output
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two-way power are 1.8V and 3.3V, so that the DSP chip can normal work. DSP has ADC module, the voltage output must distinguish the digital voltage and analog voltage, so the digital ground and analog ground are connected by beads. The circuit is shown as in Figure 10.
K. Serial Communication Interface Circuit TMS320F2812 chip has a serial communication
interface (SCI) module, the serial port is configured as RS232 port to connect with the PC easy. Because the DSP level and RS232 level cannot match, a external circuit must be constituted by using power level conversion chip MAX232D to meet the communication functions between the control panel and PC. MAX232D uses a 3.3V supply voltage, its external four small capacitor rise the voltage from 11V to 15V. The serial communication interface circuit is shown as in Figure 11.
3.3V
C1 C2 C3
C4
C5
C6
SCITXDA
SCIRXDA
SCITXDB
SCIRXDB
16
2
6
15
11
12
10
9
1
3
4
5
14
13
7
8
VCC
V+
V-
GND
T1IN
R1OUT
T1OUT
R1IN
T2IN
R2OUT
T2OUT
R2IN
1
2
3
4
5
6
7
8
9
JP1
MAX232 Figure 11. Communication Interface Circuit
L.IPM module fault detection circuit
FO
+5V
PC181
1
2 3
4
PDPINTfault
+3.3V
R110K
R21K
Q1NPN
R3330
R45.1K
Figure 12. Temperature Detection Protection Circuit
This article uses the IPM module PS21964, internal integrated overvoltage, overcurrent, overheating protection function, IPM modules work properly, the PS21964 No.14 pin fault detection signal output terminal of the high level of +5 V,NPN type transistor C9013 and opto-coupler PC181 in the conduction state, the opto-coupler output of +3.3V high. When the IPM module fails, the fault detection signal output terminal output current of 10mA, low pulse width of 1.8ms signal, the NPN type transistor C9013 are in the OFF state and opto-coupler PC181 output is low, that is, a fault signal is active low. The opto-coupler used not only before and
after the stage circuit electrical isolation, but also has a level conversion function.
The IPM module fault detection circuit diagram is shown in Figure 12.
M. Temperature detection protection circuit IPM module PS21964 controller uses normal working
temperature does not exceed 100, the heat sink is not only to the design of the controller, but also the design temperature detection and protection circuit, to prevent overheating burned chip and other circuit. Paper, the temperature change of the temperature sensor T255 detecting controller, the temperature sensor T255 is reflected by the change in resistance to temperature change, the higher the temperature, the smaller the resistance of the temperature sensor T255.The typical value of the temperature sensor T255: oR(25 C)=5.0KΩ .
+5V +3.3V +3.3V
R11.2K
T255R21K
PC181R3
5.1K
faultPDPINT
1
2 3
4
Figure 13. Temperature Detection Protection Circuit
N. The Software Structure of the Controller Start
The initialization of the system clock
The timer is initialized
Initialize the system parameters
The software module initialization
Timer overflow interrupt and capture interrupt enable
To detect the position of the rotor
initialization
Interrupt latency
Rotor initial position detection subroutine
Interrupt service routine
Y
Y
N
N
Figure 14. Main Program Flow Chart
A complete software system should include function subroutine, system initialization procedure, the timer main interrupt program, position detection interrupt program and protection interrupt program. Software
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mainly achieve SVPWM control algorithm, the coordinate transformation, digitized PI regulator and current / position signal detection, they are all implemented in the main interrupt program [12]. The first three do not need to control the hardware, the rest requires software and hardware properly fit in order to achieve accurate control effect. The introduction of interference in the signal detection will directly affect the control performance of the system.
After control system start plus power, the first need to do is the initialization of system input and output module classes and data processing module class, and system resources, and then is the detection of the initial position angle of the PMSM. After get the initial position angle information of the rotor and then carry on backstage processing program, and wait for interrupt handling signal is used to access the system subroutine in order to control PMSM [13]. The system main program flow chart is shown in Figure 14.
IV . SIMULATION RESULTS
Matlab/simulink can accurately establish PMSM vector control system simulation model which based on magnetic field orientation. Three closed-loop control system control process: through position regulator seek the velocity command value after position instruction value and feedback value compared; through velocity regulator get current (vector) size of the command value after the speed instruction value and the speed feedback value [14-15]. According to the current command value and the actual position value calculated three-phase instantaneous current command value, the stator current is close to the command value after the current closed loop control. Current regulator output value through SVPWM module, output of 6 PWM wave controlled inverter module, produce the desired phase current supply PMSM. PMSM three closed-loop vector control simulation model system diagram as shown in figure 15.
This paper chooses the rated speed of the motor is 1000rad/s, pole number is 4, the position reference value
is set to 400rad, the simulation time is set to 0.5s.The rotating speed response waveform is shown in Figure 16,can see motor no-load can quickly reach the maximum speed, after slight fluctuations stabilized rated speed in 1000rad/s, when 0.1s load 4 N m⋅ , speed fluctuate somewhat, but soon was stable in 1000rad/s. When arrived at a set position 400rad, motor speed decreased rapidly, while unload 4 N m⋅ load, during descending process the speed is corresponding rapidly , with slight fluctuations, finally speed stabilized in 0rad/s and parking at 0.5s.
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.50
200
400
600
800
1000
1200
t/s
n(r
ad/s
)
1200
1000
800
600
400
200
00 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5
Figure 16. Response of Speed
Torque and excitation component of current waveforms are shown in Figure 17, Torque and excitation component of the stator have fluctuation when the motor start and stop, when the motor operated stably ,the fluctuation is small; At 0.1s joined the load, torque component corresponding rapidly, operated stably after a greater fluctuation; the motor speed decreases and eventually stop the rotation, during the motor brake process the torque and the excitation component of current has a bigger wave motion, finally the two components are reduced to 0 A.
Figure 15. The Block Diagram of the Control System of PMSM
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0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5-40
-30
-20
-10
0
10
20
30
40
t/s
Id Iq/A
Id
Iq
40
30
20
10
0
-10
-20
-30
-400 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5 Figure 17. The Torque and the Excitation Component of Current
Electromagnetic torque and lode torque waveforms are shown in Figure 18.
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5-40
-30
-20
-10
0
10
20
30
40
t/s
Te T
L(N
*m) TL
Te
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5
40
30
20
10
0
-10
-20
-30
-40
Figure 18. Electromagnetic Torque and Lode Torque
We can see that electromagnetic torque of the motor changed always around the load torque; electromagnetic torque has greater fluctuating produced starting torque as motor start, at 0.1s joined 4 N m⋅ , electromagnetic torque rapidly achieved 4 N m⋅ , motor speed decreases and eventually stops rotating, electromagnetic torque drops rapidly and produce a reverse braking torque, eventually stabilizing at 0 N m⋅ .
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5-30
-20
-10
0
10
20
30
t/s
I/A
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5
30
20
10
0
-10
-20
-30
Figure 19. Stator Current Waveform
The three-phase stator current waveform as shown in Figure 19, as can be seen from the graph, when starting the motor current has fluctuation; the current value is very small close to 0 A when the motor unloaded stable
operation, 0.1s added load, three-phase current value rose rapidly; when the speed drop suddenly, and eventually reduced to 0 r/s, the current of each phase of the stator, first there are small fluctuations, and then stabilized and, ultimately, the phase current values down to 0.
By the simulation waveforms visible, motor starts fast, and can quickly and accurately track a given speed. In the case of load increase, speed after short-term volatility can track the given speed, the speed fluctuation is very small. In the debugging system, the speed of the motor starter - stop process curve shows that motor by the rated speed quickly arrived at the designated location and is able to accurately locate parking. The control system can rapidly reach steady state, overshoot, and steady-state error is very small, and the experimental results show that the controller design is reasonable and has a good dynamic and static performance.
V. CONCLUSION
This article used advanced digital signal processing chip and designed a PMSM digital controller. By analyzing the model and control strategy of PMSM, Proposed the main hardware structure part and the software program of the PMSM controller, and built a simulation model of the controller. Through the simulation experimental study on PMSM servo system startup, operation and parking, you can get the conclusion: the whole process of the system, speed is running smoothly, the torque ripple is small, small overshoot and precise positioning, and controller designed reasonably and has good dynamic and static performance.
ACKNOWLEDGEMENTS
The paper is supported by Key Projects of Henan Provincial Department of Education Science and Technology Research (12A47000), Laboratory of Fund Colleges Control Engineering Key Disciplines of Henan Province (KG2011-12), Science and Technology Research of China Coal Industry Association (MTKJ2012-376) and Dr. Foundation of Henan Polytechnic University under Grand (B2011-104).
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Jun Zhu, male, born in Wulanchabu City, Inner Mongolia Autonomous Region, China, in October, 1984. He obtained PH.D degree in college of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, China, in 2010. His research fields are special motor drive, nonlinear motor
control and motion control. He has been working at Henan Polytechnic University since
2001, and is interesting in teaching and scientific research. He is a researcher of Special Electric Machines & Drives (SEMD) in Henan Polytechnic University. His research works mainly engaged in novel control theory research and the new control system development of special motor.
Dr. Zhu is a member of Henan Province institute of special electric machine and drives. In recent years, he presided 3 provincial and one country research projects, and published more than 20 academic papers. He obtained 3 national invention patents, and 2 provincial academic rewards.
Li Wankui, male, born in Xinyang City, Henan Province, China, in August, 1988. He is studying at the college of Electrical Engineering and Automation, Henan Polytechnic University, China, since 2011. His research fields are special motor drive, PMSM control and motion control.
He obtained bachelor's degree in college of Electrical Engineering and Automation, Henan Polytechnic University, China, in 2011.His research works mainly engaged in novel control theory research and the new control system development of PMSM.In recent years, he published one academic paper.
Han Lili, female, born in Puyang City, Henan Province, China, in August, 1987. She is a postgraduate student at Henan Polytechnic University. Her research fields are Permanent magnet synchronous motor control Kalman filter algorithm.
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