AN204469 FM3 Family 3 Phase PMSM FOC Control.pdf

AN204469
FM3 Family 3-Phase PMSM FOC Control
Associated Part Family: FM0+ / FM3 / FM4 Series
This application note describes the FOC control of a 3-phase PMSM which includes, the structure of a 3-phase
PMSM and motor driving principle, FOC control system, Core modules and Mathematical model of a 3-phase PMSM.
Contents
1
2
3
Introduction .................................................................. 1
1.1 Purpose .............................................................. 1
1.2 Definitions, Acronyms and Abbreviations ............ 1
1.3 Document Overview ............................................ 1
Structure of a 3-Phase PMSM
and Motor Driving Principle.......................................... 2
2.1 Motor Category ................................................... 2
2.2 Structure of a 3-Phase PMSM ............................ 2
2.3 Driving principle of 3-Phase PMSM .................... 3
FOC Control ................................................................ 5
1
Introduction
1.1
Purpose
4
Core Modules .............................................................. 7
4.1 Coordinate Transformation ................................. 7
4.2 PI Regulator ........................................................ 9
4.3 SVPWM ............................................................ 10
4.4 Sensor-less Position Observer ......................... 16
5 Mathematical Model of a 3-Phase PMSM ................. 17
6 Additional Information ................................................ 17
Document History............................................................ 18
This document describes the FOC control of a 3-phase PMSM. The following contents are included:




1.2
1.3
The structure of a 3-phase PMSM and motor driving principle
FOC control system
Core modules
Mathematical model of a 3-phase PMSM
Definitions, Acronyms and Abbreviations
PMSM
Permanent Magnetic Synchronous Motor
SVPWM
Space Vector Pulse Width Modulation
FOC
Field Oriented Control
Document Overview
The rest of document is organized as the following:
Section 1 explains Introduction.
Section 2 explains Structure of a 3-Phase PMSM and Motor Driving Principle.
Section 3 explains FOC Control.
Section 4 explains Core Modules.
Section 5 explains Mathematical Model of a 3-Phase PMSM.
Section 6 explains Additional Information.
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FM3 Family 3-Phase PMSM FOC Control
2
Structure of a 3-Phase PMSM and Motor Driving Principle
2.1
Motor Category
Synchronous motors can be divided into several different types. The figure below shows a simple classification tree of
electric motors. In this document, the FOC control of 3-phase PMSM is to be introduced, which is highlighted with the
green color in below figure.
Figure 1. Motor Category
2.2
Structure of a 3-Phase PMSM
A 3-phase PMSM is mainly composed of two parts: the stator and the rotor.
At stator side, the 3-phase windings are coiled on the stator core. The windings of 3 phases are separately placed by
the rule of 120 degrees angle to generate a round rotating magnetic field (Fs) when a 3-phase AC current goes
through the 3-phase windings. The separated 3-phase winding placed by the rule of 120 degrees angle is named as
3-phase symmetric winding.
At rotor side, one or more pairs of permanent magnetic poles are mounted to offer a constant rotor magnetic field
(Fr).
Figure 2. Structure of a 3-phase PMSM
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FM3 Family 3-Phase PMSM FOC Control
Because Fs is a rotating magnetic field, the Fr will be dragged and follow the Fs. If the Fr cannot catch up with Fs, the
rotor will rotate continuously. If the 3-phase current in 3-phase windings disappears, the Fs will disappear at the same
time, and the rotor will stop.
2.3
Driving principle of 3-Phase PMSM
To keep rotor rotating, a continuous rotating stator magnetic field is necessary. Assume the 3-phase AC current can
be expressed as:
°
°
The 3-phase AC current goes through stator 3-phase winding, so three magnetic fields are created. By the formula of
F
, the three magnetic fields can be expressed as:
Figure 3. Stator Magnetic Field of A 3-phase PMSM
FC
FB
FA
°
°
By observing the synthesis magnetic F in different timing modes, which is combined by
understand the rotating principle of stator magnetic field.
1.
, it is easy to
°
Figure 4. Stator Magnetic Field of a 3-Phase PMSM When
°
FC
F
FB
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FM3 Family 3-Phase PMSM FOC Control
2.
°
Figure 5. Stator Magnetic Field of a 3-Phase PMSM When
°
FB
F
3.
FA
°
Figure 6. Stator Magnetic Field of a 3-Phase PMSM When
FB
°
FC
FA
F
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FM3 Family 3-Phase PMSM FOC Control
From the synthetic magnetic field F in different timing modes, it is obviously known that F is a rotating vector and
furthermore the magnitude of F is a constant
. Now we can get a conclusion that a round rotating magnetic
field is created if a 3-phase AC current goes through a 3-phase symmetric winding.
3
FOC Control
3.1.1
FOC Principle
Brush DC motor is the conventional DC motor with a long history. A big advantage of the brush DC motor is that its
torque control and magnetizing control are decoupled, which makes brush DC motor easy to control. The brush DC
motor decoupled control is shown in below figure.
Figure 7. Brush DC Motor Decoupled Control
The magnetizing is controlled by magnetizing current ( ), and the torque is controlled by torque current ( ). The
direction of the magnetizing magnetic field is parallel with d-axis (vertical direction), and the direction of the torque
magnetic field is parallel with q-axis (horizontal direction). So these two magnetic fields do not influence each other.
That is to say, it is decoupled between the 2 magnetic fields and motor’s magnetizing and torque can be adjusted
individually. For example, the torque control formula is
, which means torque is only controlled by torque
current .
The condition of PMSM motor control is much more complex than a brush DC motor. The magnetic field of a 3phase symmetry winding is a coupled magnetic field. We can discover the complex coupled relationship from the
torque control formula.
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FM3 Family 3-Phase PMSM FOC Control
Figure 8. The Coupled Magnetic Flux of A PMSM
,
From the expression of Te, it is easy to understand that the torque is determined by all 3-phase inductances
(including self-inductance and mutual-inductance) and currents. Obviously, the torque control seems much more
complex than a brush DC motor.
Coordinate transformation is just the way to simplify the PMSM torque control. By coordinate transformation, a PMSM
control model is converted from A-B-C coordinate to d-q coordinate. The torque control formula is also converted into
d-q coordinate, the formula is:
The simple formula in d-q coordinate makes the PMSM torque control as easy as a brush DC motor.
3.1.2
FOC Control Structure
From the description above, the FOC core thinking is to make the torque control of PMSM as easy as a DC brush
motor by a motor rotor magnetic field orientation technology. In the technology, the coordinate transformation method
turns the motor module from the u-v-w coordinate to the rotational d-q coordinate, and the d-q coordinate rotational
speed is the same as the stator magnetic field rotational speed. Then the control of a PMSM is simplified and the
control performance is almost same as a DC brush motor.
Some PID regulators are added to adjust the motor output following the given input. By setting different PID
parameters, system gets different dynamic and static performance.
SVPWM technology is applied to accept the driving voltage in α-β coordinate and output a set of switching instruction
to control the 6 switches in full bridge inverter.
Position and speed estimator is designed to observe the real time motor speed through the motor driving voltage and
current. The estimated motor speed is compared with the expected speed, and the comparison result serves as the
input of the speed PI regulator. The estimated rotor position angle is used by the coordinate transformation unit.
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FM3 Family 3-Phase PMSM FOC Control
Figure 9. FOC Control Diagram
ωre +
-
f
Iqref +
PI
Park-1
Vq
-
Vα
d,q
PI
ThreePhase
Bridge
SVPWM
Idref +
PI
Vd
Vβ
α,β
-
A
C
Iq
Isα
d,q
Id
Isβ
α,β
Park
θestim
ωm
Position and
speed
Estimator
Isβ
Isα
Vβ
Vα
α,β
a,b,c
B
Ib
Ic
Clark
e
R
Software
4
Core Modules
4.1
Coordinate Transformation
Hardware
The coordinate transformation includes Clark transformation and Park transformation. On the contrary, the inverse
coordinate transformation includes inverse Clark transformation and inverse Park transformation.
1.
Clark transformation
It changes a quantity in A-B-C coordinate to α-β coordinate.
2.
Park transformation
It changes a quantity in α-β coordinate to d-q coordinate.
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FM3 Family 3-Phase PMSM FOC Control
3.
Inverse Clark transformation
It changes a quantity in α-β coordinate to A-B-C coordinate.
4.
Inverse Park transformation
It changes a quantity in d-q coordinate to α-β coordinate.
The following figures show the progress of coordinate transformation.
Figure 10. Coordinate Transformation
Clark
Inverse Clark
1. FABC , F , Fdq -- Synthesis magnetic field
2. s1 ,  , dqs -- Magnetic field rotating speed
3. s1
Park
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   dqs
Inverse Park
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FM3 Family 3-Phase PMSM FOC Control
4.2
PI Regulator
4.2.1
Introduction
The PI regulator is composed of a proportional regulator and an international regulator, which mainly has two
functions:
1.
To assure a fast response when the input is changed;
2.
To assure the output follows the given input.
The PI regulator keeps the output follow the expected output by a comparing error between the expected output and
the real output. The P-value is to make a fast output response to the comparing error, and the I-value is to decrease
the stable output error. Its transfer function can be expressed as follows.
Figure 11. PI-regulator Transfer Function
expected output
PI regulator causes a fluctuating output, fluctuating amplitude is decreasing. After some regulating periods, the output
follows the expected output with a very small fluctuation around the expected output value.
Figure 12. Output of PI Regulator
expected output
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FM3 Family 3-Phase PMSM FOC Control
4.2.2
Formula
The mathematic formula of PI regulator is:
Usually the formula can be changed to the discrete field and expressed by the incremental algorithm.
Generally, an output limitation is defined to limit the output into a legal range.
Figure 13. PI Regulator with Output Limitation
expected output
4.3
SVPWM
4.3.1
Synthesis of a Space Vector
SVPWM is a method to generate a round rotational voltage vector by controlling the status of 6 switches
(
) in the 3-phase full bridge inverter.
Figure 14. 3-phase Full Bridge Inverter
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FM3 Family 3-Phase PMSM FOC Control
Below figure lists 8 switching statuses (1 – switch is closed, 0 – switch is opened) and the relative voltages.
Table 1. Eight Switching Statuses and Voltages
Through the Clark transformation, those voltages are equally converted to α-β coordinate.
Table 2. Voltages in α-β Coordinate
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FM3 Family 3-Phase PMSM FOC Control
Then 6 basic voltage vectors and 2 zero vectors are got.
Figure 15. Basic Voltage Vectors

V120 (010)
0(111)
V180 (011)
V240 (001)
V60 (110)
0(000)
V0 (100)

V300 (101)
Because motor is driven by a magnetic field created by the 3-phase stator winding, let’s see the relationship between
the voltage and the magnetic field. A winding follows below voltage-flux formula.
For the motor winding, if the motor rotational speed is not very low, the formula above can be simplified as:
So we can get:
From the table of ‘voltages in α-β coordinate’, it is easy to know all the basic voltages vectors are constants. So the
formula above can become:
It means that the stator magnetic field is created by the voltage added in motor stator winding. Furthermore, a longer
time of voltage applying on winding causes a bigger magnetic field.
In Figure 15, 6 basic voltage vectors divide the space into 6 numbers. It is numbered as follows (Voltage vectors are
expressed as magnetic vectors).
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FM3 Family 3-Phase PMSM FOC Control
Figure 16. Sector Numbers

ψs 120 (010)
ψs 60 (110)
I
V
III
0 (111)
ψs 180 (011)
ψs 0 (100)
0 (000)

II
IV
VI
ψ s240 (001)
ψs 300 (101)
In a control period T, if we divide the T into 3 parts:
, a magnetic field can be expressed as:
,
.
Below figure shows the synthesis magnetic vector.
Figure 17. Vector Synthesis
v60 (110)
 s 60  v60  t60
O
s
 s 0  v0  t0
v0 (100)
In above figure, it shows the synthesis vector in sector III. By the same way, the synthesis magnetic
direction in every sector can be composed of the adjacent 2 basic vectors and the zero vectors.
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FM3 Family 3-Phase PMSM FOC Control
4.3.2
Basic Vector Conduction Time
Assuming the synthesis vector locates in the sector III, the conduction time can be calculated by the following
method.
Figure 18. Conduction Time of Basic Vectors
v60 (110)
 s 60  v60  t60
 s  vs  T (T  t0  t60  tnull )
u s
O

v0 (100)
 s 0  v0  t0
us
From the table of Eight Switching Statuses and Voltages, It is easy to know the basic vector amplitude is a constant
( v0  v60 
2
VDC ).
3
The synthesis vector
is composed of
and
.
 vs  T  cos   v0  t0  cos 0  v60  t60  cos 60

 vs  T  sin   v0  t0  sin 0  v60  t60  sin 60

2

 v0  v60  VDC
3

us  vs  T  cos 

us  vs  T  cos 
It can be simplified as

3
3
us 
us 
 t
2
 0  2
VDC
T
 t
3us
 60 
 T
VDC
It means that the conduction time of basic vectors can be calculated from
If
.
, the rest time is filled by the zero vectors.
For other sectors, the conduction time of basic vectors can be got similarly.
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FM3 Family 3-Phase PMSM FOC Control
The condition time control of basic vectors can be done by the timer in MCU. Generally MCU offers an up-down
counter. According to the counting value, we control the full bridge switches to assign the conduction time for each
basic vector.
Figure 19. Assign the Conduction Time of Basic Vectors by an Up-down Counter
FRT is an up-down counter in FMx series MCU. Npwm is FRT’s counting top value.
4.3.3
controls
and
. OCCP1 is the
toggle time.
controls
and
. OCCP3 is the
toggle time.
controls
and
. OCCP5 is the
toggle time.
Sector Number Calculation
According to the sector division, the sector number can be judged by the following table.
Table 3. Sector Number Calculation
Sector
Condition
I
II
III
IV
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FM3 Family 3-Phase PMSM FOC Control
Sector
Condition
V
VI
4.4
Sensor-less Position Observer
The estimator has PLL structure. Its operating principle is based on the fact that the d-component of the Back
Electromotive Force (BEMF) must be equal to zero at a steady state functioning mode. The block diagram of the
estimator is presented in below figure.
Figure 20. PLL Estimator’s Block Schematic
Park
Eα
Eβ
Ed
α,β
Eq
LPF
LPF
d,
q
Edf
Sign
Eqf
+
-
Integrator
θestim
ωmR
Starting from the closed loop shown in Figure 4-2, the estimated speed (ωmR) of the rotor is integrated in order to
obtain the estimated angle, as shown in Equation 4.4-1:
Equation 1:
The estimated speed, ωmR, is obtained by dividing the q-component of the BEMF value with the voltage constant,
ΚΦ, as shown in Equation 4.4-2.
Equation 2:
Considering the initial estimation premise (the d-axis value of BEMF is zero at steady state) shown in Equation 2, the
BEMF q-axis value, Eqf, is corrected using the d-axis BEMF value, Edf, depending on its sign. The BEMF d-q
component’s values are filtered with a first order filter, after their calculation with the Park transform, as indicated in
Equation 4.4-3.
Equation 3:
With the fixed stator frame, Equation 4.4-4 represents the stators circuit equations.
Equation 4:
In Equation 4, the terms containing α – β were obtained from the three-phase system’s corresponding measurements
through Clarke transform. Ls and Rs represent the stator inductance and resistance per phase respectively,
considering Y (star) connected stator phases. If the motor is Δ (delta) connected, the equivalent Y connection phase
resistance and inductance should be calculated and used in the equations above.
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FM3 Family 3-Phase PMSM FOC Control
5
Mathematical Model of a 3-Phase PMSM
FOC is a control theory based on coordinate transformation. In the d-q coordinate, the PMSM mathematical model
can be described as below.
Where,
– voltage of d axis
– voltage of q axis
– current of d axis
– current of q axis
– inductance of d axis
– inductance of q axis
– magnetic linkage of d axis
– magnetic linkage of q axis
– motor stator phase resistor
– rotor rotational speed
– permanent magnetic linkage of rotor
– pole pairs
In FOC method, it always keeps
status.
to zero so that the motor mathematical model can be simplified in the steady
From the equation above, the following results can be deduced:
1.
The magnetic exciting is independently determined by the permanent magnetic linkage (
2.
Torque is independently determined by the current on q axis ( );
);
So we can adjust only the current on q axis ( ) to control the torque which determines the motor rotational speed.
6
Additional Information
For more Information on Cypress semiconductor products, visit the following website:
www.cypress.com/cypress-microcontrollers
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FM3 Family 3-Phase PMSM FOC Control
Document History
Document Title: AN204469 - FM3 Family 3-Phase PMSM FOC Control
Document Number: 002-04469
Revision
ECN
Orig. of
Change
Submission
Date
**
—
SHEY
02/26/2015
Initial release
*A
5232902
SHEY
04/21/2016
Migrated Spansion Application Note from FM3_ AN709-00015-1v0-E
to Cypress format
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Description of Change
Document No. 002-04469 Rev.*A
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FM3 Family 3-Phase PMSM FOC Control
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