CN110995098B - Inversion control method of permanent magnet synchronous motor - Google Patents

Inversion control method of permanent magnet synchronous motor Download PDF

Info

Publication number
CN110995098B
CN110995098B CN201911357307.6A CN201911357307A CN110995098B CN 110995098 B CN110995098 B CN 110995098B CN 201911357307 A CN201911357307 A CN 201911357307A CN 110995098 B CN110995098 B CN 110995098B
Authority
CN
China
Prior art keywords
motor
current
period
control
formula
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201911357307.6A
Other languages
Chinese (zh)
Other versions
CN110995098A (en
Inventor
谭天乐
尹俊雄
刘瑞鑫
张明举
郑建勇
周恒杰
王金芳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Xin Yue Lian Hui Electronic Technology Co ltd
Original Assignee
Shanghai Xin Yue Lian Hui Electronic Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Xin Yue Lian Hui Electronic Technology Co ltd filed Critical Shanghai Xin Yue Lian Hui Electronic Technology Co ltd
Priority to CN201911357307.6A priority Critical patent/CN110995098B/en
Publication of CN110995098A publication Critical patent/CN110995098A/en
Application granted granted Critical
Publication of CN110995098B publication Critical patent/CN110995098B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02PCONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P21/00Arrangements or methods for the control of electric machines by vector control, e.g. by control of field orientation
    • H02P21/22Current control, e.g. using a current control loop
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02PCONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P2207/00Indexing scheme relating to controlling arrangements characterised by the type of motor
    • H02P2207/05Synchronous machines, e.g. with permanent magnets or DC excitation

Abstract

The invention provides an inversion control method of a permanent magnet synchronous motor, which comprises the following steps: s1, establishing a motor electrical characteristic equation in a state space form and a mechanical characteristic equation in the state space form; s2, establishing a discrete state transfer equation of the electrical characteristics and the mechanical characteristics of the motor; s3, predicting future k + n through the motor rotation state variable and current of the current k period 1 The periodic motor rotation state is obtained to obtain the future k + n of the motor 1 A periodic rotation state deviation predicted value; s4, according to the predicted value of the deviation of the rotation state, inverting to obtain k + 1-k + n 1 -1 period control current instruction sequence, compensating the control current instruction sequence according to the rotation state deviation caused by the load, and obtaining a control voltage instruction U of k period compensation load through inversion 1,r (k) '; s5, predicting k + n according to the voltage and current of the current k period 2 The current error value of the periodic motor is reversely deduced according to the predicted current error value to obtain a control voltage instruction of k period, and U is added 1,r (k) ' as the actual control voltage input for the motor.

Description

Inversion control method of permanent magnet synchronous motor
Technical Field
The invention relates to the field of electric automation control, in particular to an inversion control method of a permanent magnet synchronous motor.
Background
The permanent magnet synchronous motor has the characteristics of time variation, nonlinearity and strong coupling, and is widely applied to high-precision position servo systems, such as rotary tables, numerical control machines, robot joints, control moment gyros, missile tail fin steering engines and other servo systems which require high precision, high stability and high dynamic response, due to the advantages of high power density, low loss, small torque fluctuation, convenience in maintenance and the like. Under various tasks and load working conditions, the permanent magnet synchronous motor is required to have the control quality of timely response, small control overshoot, short control stabilization time, small control static difference, strong torque interference and strong load robustness.
With the development of computer, power electronics and sensor technologies, at present, variables such as voltage, current, corner, rotating speed and the like can be measured at high speed and high precision, and a high-performance chip can quickly calculate a complex algorithm and control a power supply and an inverter to work at high frequency, so that a plurality of advanced and complex control algorithms based on models can be applied to the drive control of the permanent magnet synchronous motor.
At present, methods of PID control, fuzzy control, sliding mode variable structure control, self-adaptive control, neural network control and the like of a permanent magnet synchronous motor have the problems of poor control precision/stability, low robustness on interference load and motor body parameters, large influence of artificial subjective factors of controller design and the like in different degrees, and the like, and the problems of good dynamic performance and steady-state performance and the like are difficult to ensure due to design from the stability perspective.
Disclosure of Invention
The invention aims to provide an inversion control method of a permanent magnet synchronous motor, which is used for predicting the k + n th according to the rotation characteristic, the electrical characteristic and the mechanical characteristic of the permanent magnet synchronous motor from the aspect of system controllability 1 The motor rotation state after the period is reversely deduced according to the predicted motor rotation state to obtain a compensated control current instruction of the k period 2 Periodic current value (where n 2 ∈[1,n 1 -1]) According to predicted k + n 2 Periodic current value and said compensated control current for k-periodAnd the actual control input voltage value of the k-period motor is obtained by inverting the difference value, so that stronger robustness to external torque disturbance is realized.
In order to achieve the above object, the present invention provides an inversion control method for a permanent magnet synchronous motor, comprising the steps of:
s1, establishing a motor electrical characteristic equation in a state space form and a motor mechanical characteristic equation in a state space form under a d-q coordinate system of a continuous time system;
s2, respectively establishing a discrete state transfer equation of the electrical characteristic and the mechanical characteristic of the motor;
s3, according to a discrete state transition equation of the mechanical characteristics of the motor, the motor rotation state variable X (k) = [ theta ] of the current k period m (k),ω m (k)]K period current i q (k) Predicting future k + n 1 Periodic motor rotation state variable
Figure GDA0004030125870000021
And with the desired k + n 1 Periodic reference rotational state variable X r (k+n 1 ) The comparison results in the future k + n of the motor 1 A periodic rotation state deviation predicted value; wherein, theta m (k)、ω m (k) Rotor angular position and rotor mechanical angular velocity, respectively, of k cycles; n is a radical of an alkyl radical 1 ≥2;
S4, according to the rotation state deviation predicted value, inverting to obtain k + 1-k + n 1 -a control current command sequence of 1 cycle; then, calculating a current compensation value of a k +1 period according to the motor rotation state deviation caused by load and disturbance; on the basis, a control voltage instruction of the k-period compensation load is further calculated; the control voltage command of the k-period compensation load is also the compensation voltage value of the k period;
s5, predicting k + n according to the motor voltage and the motor current of the current k period 2 Current error value of periodic motor
Figure GDA0004030125870000022
Wherein n is 2 ∈[1,n 1 -1](ii) a According to
Figure GDA0004030125870000023
The actual control voltage instruction of the k period is obtained through reverse deduction, and the actual control voltage instruction of the k period compensation load is added to be used as the actual control voltage input of the motor in the k period; k is updated to k +1, and the process proceeds to S3.
The step S1 includes:
s11, under a d-q coordinate system, using a current U 2 =[i d i q ] T Is a state variable, voltage U 1 =[v d v q ] T As a control input, a state space form of a motor electrical characteristic equation shown in formula (1) is obtained:
Figure GDA0004030125870000024
in the formula (1)
Figure GDA0004030125870000025
Wherein L is d 、L q Respectively d-axis and q-axis inductances, R is a stator winding resistance, omega m The mechanical angular speed of the rotor is shown, lambda is the magnetic flux amplitude of the permanent magnet of the rotor at the side of the stator, and p is the pole pair number; i.e. i d ,i q Current of the permanent magnet synchronous motor on a d axis and a q axis respectively, v d ,v q The voltages of the permanent magnet synchronous motor on the d axis and the q axis are obtained through Clark conversion and Park conversion of the measured three-phase current and voltage.
S12, establishing a mechanical property equation under a continuous time system under a d-q coordinate system, wherein the equation is shown in the formulas (2) and (3):
T e =1.5p[λi q +(L d -L q )i d i q ] (2)
Figure GDA0004030125870000031
wherein, T e Is electricityMagnetic torque, J is rotor moment of inertia, B is viscous friction coefficient, T l Is the load torque;
s13, establishing a rotation characteristic equation under the continuous time system, wherein the equation is shown in a formula (4):
Figure GDA0004030125870000032
wherein, theta m Is the rotor angular position;
s14, adopting i d The vector control strategy of =0 obtains a state space form of a motor mechanical characteristic equation shown in formula (5) according to formulas (2), (3) and (4):
Figure GDA0004030125870000033
wherein X = [ theta ] m ω m ] T Is a state variable, U 2 =[i q ]For current control input, Q = [ T ] l ]In order to be the load,
Figure GDA0004030125870000034
the step S2 includes:
s21, discretizing the formula (1) by utilizing bilinear transformation to obtain a discrete state transfer equation of the electrical characteristics of the motor shown as the formula (6):
U 2 (k+1)=A d1 (k)U 2 (k)+B d1 U 1 (k)+F(k) (6)
Figure GDA0004030125870000035
Figure GDA0004030125870000036
(6) Is an equation representing the current generated by the voltage; wherein k represents the current cycle, and k +1 represents the next cyclePeriod i d (k)、i q (k) The currents omega of the k period permanent magnet synchronous motor on the d axis and the q axis respectively m (k) For k-period rotor mechanical angular velocity, T s Is a sampling period;
s22, carrying out state transition solution on the formula (5), and obtaining a discrete state transition equation of the mechanical characteristics of the motor shown in the formula (7) by utilizing pull transformation or power series approximate solution:
X(k+1)=A d2 X(k)+B d2 U 2 (k)+H d Q(k) (7)
Figure GDA0004030125870000041
Figure GDA0004030125870000042
a load Q = [ T ] with tau as a control period and Q (k) as k period l ]The value of (c).
The step S3 specifically includes:
s31, calculating k + n according to the formula (7) without considering the load Q (k) of the k period 1 Periodic motor rotation state variable
Figure GDA0004030125870000043
Figure GDA0004030125870000044
In the formula (8), the reaction mixture is,
Figure GDA0004030125870000045
Figure GDA0004030125870000046
Figure GDA0004030125870000047
for controlling the current sequence, in which U 2 (j)=[i q (j)]Represents the control input of j period, j ∈ [ k +1, k + n 1 -1];
S32, in k +1 to k + n 1 1 cycle without control input and without considering load effect, let k + n 1 Periodic motor rotation reference state is X r (k+n 1 ) And calculating to obtain the motor at k + n 1 Periodic rotation state to obtain k + n 1 Periodic rotational state deviation prediction
Figure GDA0004030125870000048
Figure GDA0004030125870000051
The step S4 specifically includes:
s41, obtaining a control current instruction sequence set shown in a formula (10) according to the formulas (8) and (9) and a generalized inverse control theory,
Figure GDA0004030125870000052
in the formula (10), M (k + n) 1 Row full rank of-1,k + 1), M (k + n) 1 -1,k+1) - For its generalized inverse, M (k + n) 1 -1,k+1) - =M(k+n 1 -1,k+1) T (M(k+n 1 -1,k+1)M(k+n 1 -1,k+1) T ) -1 ,I 2 Is (n) 1 -1) dimensional unit matrix, V being (n) 1 -1) a dimension arbitrary column vector;
s42, obtaining a control current command sequence by carrying out the unique least square and minimum norm solution in the solution of the formula (10):
Figure GDA0004030125870000053
s43, calculating a predicted value of the deviation of the rotation state of the motor in consideration of the load action in the control current command sequence expressed by equation (11), as expressed by equation (12):
Figure GDA0004030125870000054
wherein, the first and the second end of the pipe are connected with each other,
Figure GDA0004030125870000055
Figure GDA0004030125870000056
is a loading sequence;
s44, designing a current compensation value of a k +1 period according to the formula (12);
Figure GDA0004030125870000057
wherein, K c =diag([k c1 k c2 ]),k c1 k c2 A compensation factor is positive; Δ X (j) is a deviation value of a rotation state actually measured in a j period;
s45, obtaining the control voltage command of the k-period compensation load according to equations (13) and (6) as follows:
Figure GDA0004030125870000061
the step S5 specifically includes:
s51, rotor mechanical angular speed omega according to current k period m (k) And equation (6) predicting motor at k + n 2 Periodic current value
Figure GDA0004030125870000062
n 2 ∈[1,n 1 -1];
Figure GDA0004030125870000063
Wherein the content of the first and second substances,
Figure GDA0004030125870000064
Figure GDA0004030125870000065
Figure GDA0004030125870000066
in order to control the sequence of voltages, the voltage,
Figure GDA0004030125870000067
i is a 2-dimensional unit array,
Figure GDA0004030125870000068
s52, calculating k + n 2 Error value of periodically predicted current value
Figure GDA0004030125870000069
Wherein, U 2,r (k+n 2 ) A control current command sequence U obtained for the current reference value by equation (11) 2,r (k+n 1 -1, k + 1);
s53, according to
Figure GDA00040301258700000610
And a generalized inverse control theory, reversely deducing to obtain a control voltage command sequence of k period as shown in a formula (16),
Figure GDA00040301258700000611
P(k+n 2 -1,k) - is P (k + n) 2 -1, k) generalized inverse;
u obtained by equation (16) 1,r (k+n 2 U in-1,k) 1,r (k) U obtained by adding formula (14) 1,r (k) ' as the actual control voltage input for the k-cycle motor; k is updated to k +1, and the process proceeds to S3.
Compared with the prior art, the inversion control method of the permanent magnet synchronous motor has the beneficial effects that:
(1) The tracking precision is high, the response speed is high, and the robustness to external moment disturbance is strong.
The invention inverses the control quantity of the motor based on the established discrete state transfer equation of the electrical characteristic and the mechanical characteristic of the motor, the motor rotation state measured in real time and the planned motor rotation state. The parameter deviation and disturbance of the permanent magnet synchronous motor are finally reflected in the rotation state deviation of the motor. The invention directly solves the load compensation control input of the motor according to the predicted deviation value of the motor rotation state, and has stronger robustness. The invention relates to an accurate quantitative control method for adjusting control parameters (namely control current instructions) input by control in real time according to predicted motor rotation state deviation, which has the characteristics of self-adaption and accurate quantitative control.
(2) Wide application range
The reference tracks of the rotation angle and the rotation speed of the motor are planned according to different tasks, and high-precision position servo control, such as fixed point control and track tracking control, can be realized. The high-precision servo steering engine can be applied to high-dynamic servo steering engines of missile steering engines, numerical control machines, robot joints, rotary tables and other high-precision servo systems.
(3) The method is simple and effective and is convenient to adjust.
The control parameters (namely control current instructions) of the invention are determined by the control period and the measurable three-phase current of the motor, the angular position of the rotor and the angular speed of the rotor, are self-adaptive along with the time variation of the state of the motor, are convenient to apply to a digital control system, are suitable for the same type of motors with different parameters such as resistance, inductance, rotor rotational inertia, friction damping and the like, and are beneficial to designing the controllers of the permanent magnet synchronous motors in batches according to the method of the invention.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings used in the description will be briefly introduced, and it is obvious that the drawings in the following description are an embodiment of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts according to the drawings:
fig. 1 is a flowchart of an inversion control method of a permanent magnet synchronous motor according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The invention aims to provide an inversion control method of a permanent magnet synchronous motor, which predicts the k + n th according to the rotation characteristic, the electrical characteristic and the mechanical characteristic of the permanent magnet synchronous motor from the viewpoint of system controllability 1 The motor rotation state after the period is reversely deduced according to the predicted motor rotation state to obtain a compensated control current instruction of the k period 2 Periodic current value (where n 2 ∈[1,n 1 -1]) According to predicted k + n 2 And inverting the difference value between the periodic current value and the compensated control current instruction of the k period to obtain the actual control input voltage value of the k period motor, thereby realizing stronger robustness to external torque disturbance.
The inversion control method of the permanent magnet synchronous motor comprises the following steps:
s1, establishing a motor electrical characteristic equation in a state space form and a motor mechanical characteristic equation in a state space form under a d-q coordinate system of a continuous time system;
the step S1 specifically includes:
s11, under a d-q coordinate system, using a current U 2 =[i d i q ] T As state variables, voltage U 1 =[v d v q ] T As a control input, a state space form of a motor electrical characteristic equation shown in formula (1) is obtained:
Figure GDA0004030125870000081
in the formula (1)
Figure GDA0004030125870000082
Wherein L is d 、L q Respectively d-axis and q-axis inductances, R is a stator winding resistance, omega m In order to obtain the mechanical angular velocity of the rotor, lambda is the magnetic flux amplitude of the rotor permanent magnet at the stator side, and p is the pole pair number; i.e. i d ,i q Current of the permanent magnet synchronous motor on a d axis and a q axis respectively, v d ,v q The voltages of the permanent magnet synchronous motor on the d axis and the q axis are obtained through Clark conversion and Park conversion of the measured three-phase current and voltage.
S12, establishing a mechanical property equation under a continuous time system under a d-q coordinate system, wherein the equations are shown in formulas (2) and (3):
T e =1.5p[λi q +(L d -L q )i d i q ] (2)
Figure GDA0004030125870000083
wherein, T e Is electromagnetic torque, J is rotor moment of inertia, B is viscous friction coefficient, T l Is the load torque;
s13, establishing a rotation characteristic equation under a continuous time system, wherein the equation is shown as the formula (4):
Figure GDA0004030125870000091
wherein, theta m Is the rotor angular position;
s14, adopting i d And (5) according to the vector control strategy of =0, obtaining a state space form of a motor mechanical characteristic equation shown in formula (5) according to the formulas (2), (3) and (4):
Figure GDA0004030125870000092
wherein X = [ theta ] m ω m ] T Is a state variable, U 2 =[i q ]For control input, Q = [ T = l ]Is a load of the electric vehicle,
Figure GDA0004030125870000093
equation (5) is an equation representing the rotation angle and the rotation speed generated by the current.
S2, respectively establishing a discrete state transfer equation of the electrical characteristic and the mechanical characteristic of the motor;
the step S2 includes:
s21, discretizing the formula (1) by utilizing bilinear transformation to obtain a discrete state transfer equation of the electrical characteristics of the motor shown in the formula (6):
U 2 (k+1)=A d1 (k)U 2 (k)+B d1 U 1 (k)+F(k) (6)
Figure GDA0004030125870000094
Figure GDA0004030125870000095
where k represents the current cycle, k +1 represents the next cycle, i d (k)、i q (k) The currents of the k-period permanent magnet synchronous motor on the d axis and the q axis are respectively omega m (k) Mechanical angular speed of rotor of k period, T s Is a sampling period;
s22, carrying out state transition solution on the formula (5), and obtaining a discrete state transition equation of the mechanical characteristics of the motor shown in the formula (7) by utilizing pull transformation or power series approximate solution:
X(k+1)=A d2 X(k)+B d2 U 2 (k)+H d Q(k) (7)
Figure GDA0004030125870000101
a load Q = [ T ] with tau as a control period and Q (k) as k period l ]The value of (c).
S3, according to a discrete state transition equation of the mechanical characteristics of the motor, the motor rotation state variable X (k) = [ theta ] of the current k period m (k),ω m (k)]K period of current i q (k) Predicting future k + n 1 Periodic motor rotation state variable
Figure GDA0004030125870000102
And with the desired k + n 1 Periodic reference rotational state variable X r (k+n 1 ) The comparison results in the future k + n of the motor 1 Predicting deviation values of the periodic rotation states; wherein, theta m (k)、ω m (k) Rotor angular position and rotor mechanical angular velocity, respectively, of k cycles; n is 1 ≥2;
The step S3 specifically includes:
s31, calculating k + n according to the formula (7) without considering the load Q (k) of the k period 1 Periodic motor rotation state variable
Figure GDA0004030125870000103
Figure GDA0004030125870000104
In the formula (8), the reaction mixture is,
Figure GDA0004030125870000105
Figure GDA0004030125870000106
Figure GDA0004030125870000107
for controlling the current sequence, in which U 2 (j)=[i q (j)]Represents the control input of j period, j ∈ [ k +1, k + n 1 -1];
S32, in k +1 to k + n 1 1 period without control input and without considering load effect, let k + n 1 Periodic motor rotation reference state is X r (k+n 1 ) And calculating to obtain the motor at k + n 1 Periodic rotation state, predicted deviation value
Figure GDA0004030125870000108
Figure GDA0004030125870000109
S4, according to the deviation value of the rotation state prediction, k + 1-k + n is obtained through inversion 1 -a control current command sequence of 1 cycle; next, calculating a current compensation value of a k +1 period according to the motor rotation state deviation caused by load and disturbance; on the basis, a control voltage instruction of the k-period compensation load is further calculated;
the step S4 specifically includes:
s41, obtaining a control current instruction sequence set shown in a formula (10) according to the formulas (8) and (9) and a generalized inverse control theory,
Figure GDA0004030125870000111
in the formula (10), M (k + n) 1 Row full rank of-1, k + 1), M (k + n) 1 -1,k+1) - M (k + n) being the generalized inverse thereof 1 -1,k+1) - =M(k+n 1 -1,k+1) T (M(k+n 1 -1,k+1)M(k+n 1 -1,k+1) T ) -1 ,I 2 Is (n) 1 -1) dimensional unit matrix, V being (n) 1 -1) a dimension arbitrary column vector. Since the equation (10) has different control current command sequences depending on the value of V, the equation (10) represents a control current command sequence set.
Equation (8) is what state of rotation the motor has, assuming that the control current command sequence is known, and the current is not known in fact, and has not yet occurred. And k + n in the future 1 The desired motor rotation state of the cycle is known as X r (k+n 1 ) Can be based on the predicted deviation value
Figure GDA0004030125870000112
And (4) inverting to obtain a control current command sequence, namely an equation (10).
S42, obtaining a control current command sequence by carrying out the unique least square and minimum norm solution in the solution of the formula (10):
Figure GDA0004030125870000113
equation (8) is a representation of a control current command sequence; (10) The formula is an expression form of the open solution of the control current command sequence, and different control current command sequences are obtained through any value of V and the formula (10); (11) The expression is a special solution with the minimum norm in the general solution of the expression (10), i.e., the expression (10) includes the expression (11).
S43, calculating a predicted deviation value of the rotation state of the motor under the control current command sequence shown in the formula (11) by considering the action of the load, wherein the predicted deviation value is shown in the formula (13):
Figure GDA0004030125870000121
wherein, the first and the second end of the pipe are connected with each other,
Figure GDA0004030125870000122
Figure GDA0004030125870000123
is a loading sequence;
s44, according to the rotation state prediction deviation value obtained by the formula (12), designing the load compensation control input of the k period as follows,
Figure GDA0004030125870000124
wherein, K c =diag([k c1 k c2 ]),k c1 k c2 A compensation factor is positive; Δ X (j) is a deviation value of a rotation state actually measured in a j period;
because the actual deviation values of the rotation states in the k period, the k +1 period and the following periods can not be obtained, the deviation values actually measured in the rotation states in the k period and the preceding periods are accumulated and then compensated to obtain the compensation current required by the k +1 period,
s45, obtaining a control voltage command of the load needing to be compensated in the k period according to the formula (13) and the formula (6), wherein the control voltage command comprises the following steps:
Figure GDA0004030125870000125
s5, predicting k + n according to the motor voltage and the motor current of the current k period 2 Current error value of periodic motor
Figure GDA0004030125870000126
Wherein n is 2 ∈[1,n 1 -1](ii) a According to
Figure GDA0004030125870000127
The actual control voltage instruction of the k period is obtained through reverse deduction, and the actual control voltage instruction of the k period compensation load is added to be used as the actual control voltage input of the motor in the k period; k is updated to k +1, and the process proceeds to S3.
The step S5 specifically includes:
s51, according to the currentMotor voltage, current and equation (6) for k cycles, predicting motor at k + n 2 Periodic current value
Figure GDA0004030125870000128
n 2 ∈[1,n 1 -1];
Figure GDA0004030125870000129
Wherein the content of the first and second substances,
Figure GDA0004030125870000131
Figure GDA0004030125870000132
Figure GDA0004030125870000133
i is a 2-dimensional unit array,
Figure GDA0004030125870000134
in order to control the sequence of voltages, the voltage,
Figure GDA0004030125870000135
s52, calculating k + n 2 Error value of periodically predicted current value
Figure GDA0004030125870000136
Wherein, U 2,r (k+n 2 ) A current command sequence U obtained for the current reference value by equation (11) 2,r (k+n 1 -1,k + 1);
s53, according to
Figure GDA0004030125870000137
And a generalized inverse control theory, reversely deducing to obtain a control voltage command sequence of k period as shown in a formula (16),
Figure GDA0004030125870000138
P(k+n 2 -1,k) - is P (k + n) 2 -1, k) generalized inverse;
the sum of the formula (16) and the formula (14) is used as the actual control voltage input of the periodic motor; k is updated to k +1, and the process proceeds to S3.
While the invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (6)

1. An inversion control method of a permanent magnet synchronous motor is characterized by comprising the following steps:
s1, establishing a motor electrical characteristic equation in a state space form and a motor mechanical characteristic equation in a state space form under a d-q coordinate system of a continuous time system;
s2, respectively establishing a discrete state transfer equation of the electrical characteristic and the mechanical characteristic of the motor;
s3, according to a discrete state transition equation of the mechanical characteristics of the motor, the motor rotation state variable X (k) = [ theta ] of the current k period m (k),ω m (k)]K period current i q (k) Predicting future k + n 1 Periodic motor rotation state variable
Figure FDA0004030125860000011
And with the desired k + n 1 Periodic reference rotational state variable X r (k+n 1 ) The comparison result shows that the motor k + n in the future 1 A periodic rotation state deviation predicted value; wherein, theta m (k)、ω m (k) Rotor angular position and rotor mechanical angular velocity, respectively, of k cycles; n is a radical of an alkyl radical 1 ≥2;
S4, according to the predicted value of the rotation state deviation, inverting to obtain k + 1-k + n 1 -a control current command sequence of 1 cycle; next, calculating a current compensation value of a k +1 period according to the motor rotation state deviation caused by load and disturbance; on the basis, a control voltage instruction of the k-period compensation load is further calculated;
s5, predicting k + n according to the motor voltage and the motor current of the current k period 2 Current error value of periodic motor
Figure FDA0004030125860000012
Wherein n is 2 ∈[1,n 1 -1](ii) a According to
Figure FDA0004030125860000013
The actual control voltage instruction of the k period is obtained through reverse deduction, and the actual control voltage instruction of the k period compensation load is added to be used as the actual control voltage input of the motor in the k period; k is updated to k +1, and the process proceeds to S3.
2. The inversion control method of a permanent magnet synchronous motor according to claim 1, wherein the step S1 includes:
s11, under a d-q coordinate system, using a current U 2 =[i d i q ] T Is a state variable, voltage U 1 =[v d v q ] T As a control input, a state space form of a motor electrical characteristic equation shown in formula (1) is obtained:
Figure FDA0004030125860000014
in the formula (1)
Figure FDA0004030125860000015
Wherein L is d 、L q D-axis and q-axis inductances, R is stator winding resistance, omega m The mechanical angular speed of the rotor is shown, lambda is the magnetic flux amplitude of the permanent magnet of the rotor at the side of the stator, and p is the pole pair number; i.e. i d ,i q Current of the permanent magnet synchronous motor on a d axis and a q axis respectively, v d ,v q The voltages of the permanent magnet synchronous motor on the d axis and the q axis are respectively obtained by Clark conversion and Park conversion of the measured three-phase current and voltage;
s12, establishing a mechanical property equation under a continuous time system under a d-q coordinate system, wherein the equation is shown in the formulas (2) and (3):
T e =1.5p[λi q +(L d -L q )i d i q ] (2)
Figure FDA0004030125860000021
wherein, T e Is electromagnetic torque, J is rotor moment of inertia, B is viscous friction coefficient, T l Is the load torque;
s13, establishing a rotation characteristic equation under a continuous time system, wherein the equation is shown as the formula (4):
Figure FDA0004030125860000022
wherein, theta m Is the rotor angular position;
s14, adopting i d And (5) according to the vector control strategy of =0, obtaining a state space form of a motor mechanical characteristic equation shown in formula (5) according to the formulas (2), (3) and (4):
Figure FDA0004030125860000023
wherein X = [ theta ] m ω m ] T Is a state variable, U 2 =[i q ]For current control input, Q = [ T = l ]In order to be the load,
Figure FDA0004030125860000024
3. the inversion control method of a permanent magnet synchronous motor according to claim 2, wherein the step S2 includes:
s21, discretizing the formula (1) by utilizing bilinear transformation to obtain a discrete state transfer equation of the electrical characteristics of the motor shown in the formula (6):
U 2 (k+1)=A d1 (k)U 2 (k)+B d1 U 1 (k)+F(k) (6)
Figure FDA0004030125860000025
Figure FDA0004030125860000026
where k represents the current cycle, k +1 represents the next cycle, i d (k)、i q (k) The currents of the k-period permanent magnet synchronous motor on the d axis and the q axis are respectively omega m (k) For k-period rotor mechanical angular velocity, T s Is a sampling period;
s22, carrying out state transition solution on the formula (5), and utilizing pull type transformation or power series approximation solution to obtain a discrete state transition equation of the mechanical characteristics of the motor shown in the formula (7):
X(k+1)=A d2 X(k)+B d2 U 2 (k)+H d Q(k) (7)
Figure FDA0004030125860000031
Figure FDA0004030125860000032
the load Q = [ T ] with tau as control period and Q (k) as k period l ]The value of (c).
4. The inversion control method of the permanent magnet synchronous motor according to claim 3, wherein the step S3 specifically includes:
s31, calculating k + n according to the formula (7) without considering the load Q (k) of the k period 1 Periodic motor rotation state variable
Figure FDA0004030125860000033
Figure FDA0004030125860000034
In the formula (8), the reaction mixture is,
Figure FDA0004030125860000035
Figure FDA0004030125860000036
Figure FDA0004030125860000038
for controlling the current sequence, in which U 2 (j)=[i q (j)]Represents the control input of j period, j ∈ [ k +1, k + n 1 -1];
S32, in k +1 to k + n 1 1 cycle without control input and without considering load effect, let k + n 1 Periodic motor rotation reference state is X r (k+n 1 ) Calculating to obtain the motor at k + n 1 Periodic rotation state to obtain k + n 1 Periodic rotational state deviation prediction
Figure FDA0004030125860000037
Figure FDA0004030125860000041
5. The inversion control method of the permanent magnet synchronous motor according to claim 4, wherein the step S4 specifically includes:
s41, obtaining a control current instruction sequence set shown in a formula (10) according to the formulas (8) and (9) and a generalized inverse control theory,
Figure FDA0004030125860000042
in the formula (10), M (k + n) 1 Row full rank of-1, k + 1), M (k + n) 1 -1,k+1) - For its generalized inverse, M (k + n) 1 -1,k+1) - =M(k+n 1 -1,k+1) T (M(k+n 1 -1,k+1)M(k+n 1 -1,k+1) T ) -1 ,I 2 Is (n) 1 -1) dimensional unit matrix, V being (n) 1 -1) a dimension arbitrary column vector;
s42, obtaining a control current command sequence by carrying out the unique least square and minimum norm solution in the solution of the formula (10):
Figure FDA0004030125860000043
s43, under the control current command sequence shown in the formula (11), the predicted value of the deviation of the rotation state of the motor is calculated by considering the action of the load, and the predicted value is shown in the formula (12):
Figure FDA0004030125860000044
wherein the content of the first and second substances,
Figure FDA0004030125860000045
Figure FDA0004030125860000046
is a loading sequence;
s44, designing a current compensation value of a k +1 period according to the formula (12);
Figure FDA0004030125860000047
wherein, K c =diag([k c1 k c2 ]),k c1 k c2 A positive compensation factor; Δ X (j) is a deviation value of a rotation state actually measured in a j period;
s45, obtaining a control voltage command of the k-cycle compensation load according to equations (13) and (6), wherein the control voltage command is:
Figure FDA0004030125860000051
6. the inversion control method of the permanent magnet synchronous motor according to claim 5, wherein the step S5 specifically includes:
s51, rotor mechanical angular speed omega according to current k period m (k) And equation (6) predicting motor at k + n 2 Periodic current value
Figure FDA0004030125860000052
n 2 ∈[1,n 1 -1];
Figure FDA0004030125860000053
Wherein, the first and the second end of the pipe are connected with each other,
Figure FDA0004030125860000054
Figure FDA0004030125860000055
Figure FDA0004030125860000056
in order to control the sequence of voltages, the voltage,
Figure FDA0004030125860000057
i is a 2-dimensional unit array,
Figure FDA0004030125860000058
s52, calculating k + n 2 Error value of periodically predicted current value
Figure FDA0004030125860000059
Wherein, U 2,r (k+n 2 ) A control current command sequence U obtained for the current reference value by equation (11) 2,r (k+n 1 -1, k + 1);
s53, according to
Figure FDA00040301258600000510
And a generalized inverse control theory, reversely deducing to obtain a control voltage command sequence of k period as shown in a formula (16),
Figure FDA00040301258600000511
P(k+n 2 -1,k) - is P (k + n) 2 -1, k) generalized inverse;
obtained by the following equation (16)Taking the obtained U 1,r (k+n 2 U in-1,k) 1,r (k) U obtained by adding equation (14) 1,r (k) ' as the actual control voltage input for the k-cycle motor; k is updated to k +1, and the process proceeds to S3.
CN201911357307.6A 2019-12-25 2019-12-25 Inversion control method of permanent magnet synchronous motor Active CN110995098B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911357307.6A CN110995098B (en) 2019-12-25 2019-12-25 Inversion control method of permanent magnet synchronous motor

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911357307.6A CN110995098B (en) 2019-12-25 2019-12-25 Inversion control method of permanent magnet synchronous motor

Publications (2)

Publication Number Publication Date
CN110995098A CN110995098A (en) 2020-04-10
CN110995098B true CN110995098B (en) 2023-03-10

Family

ID=70076442

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911357307.6A Active CN110995098B (en) 2019-12-25 2019-12-25 Inversion control method of permanent magnet synchronous motor

Country Status (1)

Country Link
CN (1) CN110995098B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112838793B (en) * 2021-01-22 2023-01-24 重庆电子工程职业学院 Permanent magnet synchronous motor control method based on state transition

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010178529A (en) * 2009-01-30 2010-08-12 Nippon Yusoki Co Ltd Control device of induction electric motor
CN104485868A (en) * 2014-12-23 2015-04-01 河北工业大学 Predictive control method for current of surface-mounted permanent magnet synchronous motor

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010178529A (en) * 2009-01-30 2010-08-12 Nippon Yusoki Co Ltd Control device of induction electric motor
CN104485868A (en) * 2014-12-23 2015-04-01 河北工业大学 Predictive control method for current of surface-mounted permanent magnet synchronous motor

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
An optimal direct torque control system of PMSM based on backstepping model;Jianying Xu etal.;《2017 29th Chinese Control And Decision Conference (CCDC)》;20170717;全文 *
VSC-HVDC谐振及模型预测控制器新型设计;赵巧娥等;《电气传动》;20181231(第12期);全文 *
永磁同步电机模型预测控制策略研究;刘莹;《中国博士学位论文全文数据库(工程科技Ⅱ辑)》;20190515;全文 *

Also Published As

Publication number Publication date
CN110995098A (en) 2020-04-10

Similar Documents

Publication Publication Date Title
CN111049441B (en) Model prediction and inversion control method of brushless direct current motor
CN110190795B (en) Permanent magnet synchronous motor cascade type robust prediction current control method
CN111585475B (en) Brushless direct current motor servo system disturbance suppression and high-precision tracking control method
CN108322120B (en) Robust nonlinear prediction torque control method suitable for permanent magnet synchronous motor
CN112701968B (en) Method for improving prediction control robustness performance of permanent magnet synchronous motor model
CN110707981A (en) Permanent magnet synchronous motor speed controller based on novel extended state observer
CN112532133B (en) Filtering compensation sliding mode active-disturbance-rejection control method suitable for permanent magnet synchronous motor
CN110995102A (en) Direct torque control method and system for permanent magnet synchronous motor
CN110649845B (en) Photoelectric turntable position tracking control method based on robust generalized predictive control
Yao et al. Output feedback robust control of direct current motors with nonlinear friction compensation and disturbance rejection
Salim et al. Sensorless passivity based control for induction motor via an adaptive observer
CN112701975A (en) Self-adaptive backlash oscillation suppression method for double-inertia servo system
CN110429878B (en) Double-active-disturbance-rejection control method for stepping motor type electro-mechanical converter
CN110995098B (en) Inversion control method of permanent magnet synchronous motor
CN108448983B (en) Method for inhibiting nonlinear interference of servo system at extremely low speed
CN113659895A (en) Permanent magnet synchronous motor all-state constraint finite time control method based on instruction filtering
CN116638544A (en) Joint module cooperative control method based on super local model
CN111679644A (en) Uncertain industrial robot motion control method considering system delay
CN115133831A (en) Sliding mode active disturbance rejection permanent magnet synchronous motor continuum multi-step model prediction control method
CN116614030A (en) Permanent magnet servo motor composite model predictive control method based on GPC and FCS-MPC
CN115102443A (en) Control method and device for permanent magnet synchronous linear motor and storage medium
CN114024473B (en) Anti-interference compound control method of permanent magnet synchronous motor servo system based on backlash compensation
CN107994830B (en) A kind of method and device inhibiting motor torque ripple
CN112468044A (en) Model prediction control system and method of permanent magnet synchronous linear motor
CN113556068B (en) Servo control method and servo system for permanent magnet synchronous motor

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant