CN108551286A - A kind of AC servo motor scene Efficiency testing method and system - Google Patents
A kind of AC servo motor scene Efficiency testing method and system Download PDFInfo
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- CN108551286A CN108551286A CN201810411550.0A CN201810411550A CN108551286A CN 108551286 A CN108551286 A CN 108551286A CN 201810411550 A CN201810411550 A CN 201810411550A CN 108551286 A CN108551286 A CN 108551286A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P21/00—Arrangements or methods for the control of electric machines by vector control, e.g. by control of field orientation
- H02P21/14—Estimation or adaptation of machine parameters, e.g. flux, current or voltage
- H02P21/18—Estimation of position or speed
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P21/00—Arrangements or methods for the control of electric machines by vector control, e.g. by control of field orientation
- H02P21/24—Vector control not involving the use of rotor position or rotor speed sensors
- H02P21/26—Rotor flux based control
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P21/00—Arrangements or methods for the control of electric machines by vector control, e.g. by control of field orientation
- H02P21/24—Vector control not involving the use of rotor position or rotor speed sensors
- H02P21/28—Stator flux based control
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Abstract
The invention discloses a kind of AC servo motor scene Efficiency testing method and system, disclosed method includes the following steps：Step S100：It obtains AC servo motor nameplate data and measures input power, stator current, stator resistance and the rotor speed for obtaining AC servo motor, initialize the parameter of multiple target parallel chaotic optimization method；Step S200：AC servo motor equivalent-circuit model is built, determines that five variables to be optimized are respectively：Stator leakage reactance, excitation resistance, excitation reactance, rotor resistance and wind friction loss coefficient；Step S300：Optimal Chaos Variable is obtained after five variables to be optimized are handled by multiple target parallel chaotic optimization method, and then obtains output power；Step S400：According to the input power that step S300 output powers and step S100 are obtained, and then obtain the live efficiency of AC servo motor.AC servo motor scene efficiency can accurately be detected, to realize AC servo motor to the speed of control machinery element and accurately controlling for position.
Description
Technical field
The present invention relates to a kind of AC servo motor technical fields more particularly to a kind of AC servo motor scene efficiency to examine
Survey method and system.
Background technology
Servo motor is mainly used for the operating of control machinery element, it can be achieved that accurately speed, position are controlled in industrial circle
System.AC servo motor has been substituted direct current generator at present, becomes the mainstream of servo-drive system.Wherein, AC servo motor is special
Refer to permanent magnet synchronous motor or DC brushless motor, with electromechanical time constant is small, pickup voltage is low, detent torque is big, the linearity
High characteristic.
The detection technique and means of AC servo motor are all relatively backward at present, detect need first to shut down before electric efficiency,
Load separation is carried out to carry out no-load test, required equipment is more, and process is more complex, and testing cost is higher, to producing shadow
It rings big.When establishing AC servo motor equivalent-circuit model, the input power that model is calculated should be made to distinguish with input current
Close to practical specified value, if only considering one target of input power or input current, it can make model can not simulated machine
Actual operating mode, accuracy are low.
When being detected at present to the efficiency of AC servo motor using traditional chaos optimization method, chaos is directly used
Variable scans for, and search process is carried out by the rule of chaotic motion itself, need not be passed through as traditional randomized optimization process
Locally optimal solution is jumped out in such a way that certain probability receives " deterioration " solution, but traditional chaotic optimization algorithm is quick to initial value
Sense, search precision is low and convergence rate is slow.
Therefore, how AC servo motor scene efficiency is accurately detected, to realize AC servo motor pair
The problem of speed of control machinery element and accurately controlling for position are those skilled in the art's urgent need to resolve.
Invention content
The object of the present invention is to provide a kind of AC servo motor scene Efficiency testing method and systems, can be to exchange
Servo motor scene efficiency is accurately detected, to realize AC servo motor to the speed of control machinery element and the standard of position
Really control.
In order to solve the above technical problems, the present invention provides a kind of AC servo motor scene Efficiency testing method, the side
Method includes the following steps：
Step S100：It obtains AC servo motor nameplate data and measures and obtain the input power of AC servo motor, determine
Electron current, stator resistance and rotor speed initialize the parameter of multiple target parallel chaotic optimization method；
Step S200：AC servo motor equivalent-circuit model is built, determines that five variables to be optimized are respectively：Stator leaks
Anti-, excitation resistance, excitation reactance, rotor resistance and wind friction loss coefficient；
Step S300：Optimal mix is obtained after five variables to be optimized are handled by multiple target parallel chaotic optimization method
Ignorant variable, and then obtain output power；
Step S400：According to the input power that step S300 output powers and step S100 are obtained, and then obtains exchange and watch
Take the live efficiency of motor.
Preferably, step S300 is specially：
Step S310：Establish the object function of AC servo motor input power error and input current error, DD=1,
DD is iterations；
Step S320：The value of five variables to be optimized is determined according to preset rules, and respectively will using chaos sequence formula
Each variable mappings to be optimized are at p Chaos Variable, the Chaos Variable matrix of 5 × p of generation, p Chaos Variable column vector by
The Chaos Variable composition that five variable mappings to be optimized obtain；
Step S330：The element of p Chaos Variable column vector is substituted into respectively in the object function of step S310, is wrapped
Disaggregation A containing p target function valueDD, according to the dominance relation of p object function solution from being ranked up to weak to solution by force；
Step S340：From being concentrated to the solution of weak arrangement by force, p/2 weaker object function solution is chosen, by the target of selection
Element in the corresponding Chaos Variable column vector of Function Solution is brought into after carrying out random combine in the object function of step S310, is obtained
P/2 new object function solutions, replace the disaggregation A of target function valueDDIn weaker p/2 object function solution, to update
Disaggregation ADD；
Step S350：By disaggregation ADDMiddle p object function solution and disaggregation ADD-1Middle p object function solution is strong and weak according to dominating
Relationship sorts, and chooses the solution update disaggregation A of stronger p target function valueDD, judge disaggregation ADDWhether not mutually dominate or
Whether satisfaction presets maximum iteration, if NO DD=DD+1, enters step S320, on the contrary then enter step S360；
Step S360：By disaggregation ADDMiddle p object function solution obtains optimal Chaos Variable after being further processed, into
And obtain output power.
Preferably, in the step 310 AC servo motor input power error and input current error target letter
Number is specially：
Wherein, Fmin1Indicate the square error object function of input power, Fmin2Indicate the square error target of input current
Function, VsFor stator phase voltage, IsFor stator current, IcsTo measure stator current, RsFor stator resistance, XsFor stator leakage reactance, n
For rotor speed, IrFor rotor current, RrFor rotor resistance, XrFor rotor leakage reactance, ImFor exciting current, RmFor excitation resistance, vm
For excitation reactance, Rss1For stray-load resistance, PcinFor input power, s is revolutional slip, SratedFor nominal load revolutional slip, k is
Penalty coefficient, kwfFor wind friction loss coefficient.
Preferably, chaos sequence formula is specially in the step S320：
Wherein, Z is Chaos Variable, Ω=0.5, K=2, t=0,1,2......p, mod expression modulo operations.
It preferably, will be in the weaker corresponding Chaos Variable column vector of p/2 object function solution in the step S340
Element carries out random combine：The element of same number of rows in p/2 Chaos Variable column vector is exchanged into position at random, it is raw
The p/2 Chaos Variable row vector of Cheng Xin.
Preferably, the step S360 is specially：Calculate separately disaggregation ADDMiddle p object function solution and initially solution (Pcin,
Ics) between Euclidean distance, minimum range it is corresponding solution be compromise solution, by the corresponding Chaos Variable of compromise solution arrange to
Optimal Chaotic variable is measured, and then obtains output power.
The present invention also provides a kind of AC servo motor scene efficiency detecting systems, including initialization module, model to take
Block, parallel chaotic optimization module and Efficiency testing module are modeled, wherein：
Initialization module, for obtaining AC servo motor nameplate data and measuring the input work of acquisition AC servo motor
Rate, stator current, stator resistance and rotor speed initialize the parameter of multiple target parallel chaotic optimization method；
Model buildings module determines five variable difference to be optimized for building AC servo motor equivalent-circuit model
For：Stator leakage reactance, excitation resistance, excitation reactance, rotor resistance and wind friction loss coefficient；
Parallel chaotic optimization module, the parameter for receiving initialization module and the transmission of model buildings module, and by five
Variable to be optimized obtains optimal Chaos Variable after being handled by multiple target parallel chaotic optimization method, and then obtains output work
Rate；
Efficiency testing module, for according to the output power of parallel chaotic optimization module and the input work of initialization module
Rate, and then obtain the live efficiency of AC servo motor.
Effective AC servo motor Model for Multi-Objective Optimization is established, and considers the iron loss in motor, stator loss, rotor
Loss, wind friction loss and spuious consumption make parameter value in equivalent circuit closer to the actual value in servo motor operational process.Using
Multiple target parallel chaotic optimization method, effectively enhances its search capability, can solve more complicated optimization problem, improves excellent
Change efficiency.AC servo motor scene efficiency can accurately be detected, without removing motor or individually doing some experiment items
Mesh gets parms, and invasive low, accuracy is higher, to realize speed and position of the AC servo motor to control machinery element
Accurately control.
Description of the drawings
Fig. 1 is a kind of flow chart for AC servo motor scene Efficiency testing method that the first embodiment provides；
Fig. 2 is a kind of flow chart for AC servo motor scene Efficiency testing method that second of embodiment provides；
Fig. 3 is AC servo motor equivalent circuit diagram；
Fig. 4 is the Parallel Chaos mapping principle figure of optimized variable；
Fig. 5 is a kind of structure diagram of AC servo motor scene efficiency detecting system provided by the invention.
Specific implementation mode
In order that those skilled in the art will better understand the technical solution of the present invention, below in conjunction with the accompanying drawings to the present invention
It is described in further detail.
Referring to Fig. 1, Fig. 1 is a kind of stream for AC servo motor scene Efficiency testing method that the first embodiment provides
Cheng Tu.
A kind of AC servo motor scene Efficiency testing method, the described method comprises the following steps：
Step S100：It obtains AC servo motor nameplate data and measures and obtain the input power of AC servo motor, determine
Electron current, stator resistance and rotor speed initialize the parameter of multiple target parallel chaotic optimization method；
Step S200：AC servo motor equivalent-circuit model is built, determines that five variables to be optimized are respectively：Stator leaks
Anti-, excitation resistance, excitation reactance, rotor resistance and wind friction loss coefficient；
Step S300：Optimal mix is obtained after five variables to be optimized are handled by multiple target parallel chaotic optimization method
Ignorant variable, and then obtain output power；
Step S400：According to the input power that step S300 output powers and step S100 are obtained, and then obtains exchange and watch
Take the live efficiency of motor.
It obtains AC servo motor nameplate data and measures the input power for obtaining AC servo motor, stator current, determines
Sub- resistance and rotor speed initialize the parameter of multiple target parallel chaotic optimization method.Build AC servo motor equivalent circuit
Model determines that five variables to be optimized are respectively：Stator leakage reactance, excitation resistance, excitation reactance, rotor resistance and wind friction loss system
Number.Optimal Chaos Variable is obtained after five variables to be optimized are handled by multiple target parallel chaotic optimization method, and then is obtained
To output power；According to output power and input power, and then obtain the live efficiency of AC servo motor.Establish effective hand over
Flow servo motor Model for Multi-Objective Optimization, and consider the iron loss in motor, stator loss, rotor loss, wind friction loss and spuious consumption,
Make parameter value in equivalent circuit closer to the actual value in servo motor operational process.Using multiple target parallel chaotic optimization side
Method effectively enhances its search capability, can solve more complicated optimization problem, improve optimization efficiency.Exchange can be watched
It takes motor scene efficiency accurately to be detected, get parms without removing motor or individually doing some experimental projects, it is invasive
Low, accuracy is higher, to realize AC servo motor to the speed of control machinery element and accurately controlling for position.
Referring to Fig. 2 to Fig. 4, Fig. 2 is a kind of AC servo motor scene Efficiency testing side that second of embodiment provides
The flow chart of method, Fig. 3 are AC servo motor equivalent circuit diagram, and Fig. 4 is the Parallel Chaos mapping principle figure of optimized variable.
A kind of AC servo motor scene Efficiency testing method, the described method comprises the following steps：
Step S100：It obtains AC servo motor nameplate data and measures the input power P for obtaining AC servo motorcin、
Stator current Is, stator resistance RsWith rotor speed n, the parameter of multiple target parallel chaotic optimization method is initialized；
Step S200：AC servo motor equivalent-circuit model is built, determines that five variables to be optimized are respectively：Stator leaks
Anti- Xs, excitation resistance Rm, excitation reactance Xm, rotor resistance RrWith wind friction loss coefficient kwf；
AC servo motor equivalent circuit diagram is as shown in figure 3, VsFor stator phase voltage, IsFor stator current, RsFor stator electricity
Resistance, XsFor stator leakage reactance, IrFor rotor current, RrFor rotor resistance, XrFor rotor leakage reactance, ImFor exciting current, RmFor excitation electricity
Resistance, XmExcitation reactance, Rss1For stray-load resistance, s is revolutional slip, SratedFor nominal load revolutional slip.
Stator resistance RsWith stator leakage reactance XsFor calculating stator loss, rotor resistance RrWith rotor leakage reactance XrFor calculating
Rotor loss, excitation resistance RmWith excitation reactance XmFor calculating core loss, stray-load resistance RsslFor calculating spuious damage
Consumption, (1-s) Rr/ s is the load resistance of equivalent circuit, and the energy consumed on the resistance is equal to the electromagnetic work of motor shaft head output
Rate --- mechanical output.
Stator loss power is represented,Rotor loss power is represented,Represent iron loss power, kwfN is represented
Wind friction loss power,Spuious wasted work rate is represented,Represent the power of load resistance consumption.
Any of the above power is added, the input power P being as calculatedcin。
Step S310：Establish the object function of AC servo motor input power error and input current error, DD=1,
DD is iterations, and iterations are empirically determined；
Wherein, Fmin1Indicate the square error object function of input power, Fmin2Indicate the square error target of input current
Function, penalty coefficient k=0.018, n1 are the synchronizing speed determined according to motor stator winding sum of series ac frequency, IcsFor
Measure stator current.
The target of this method iteration is to make F simultaneouslymin1And Fmin2It is small as far as possible, to make the input power being calculated
Its actual value is approached with input current.
Step S320：The value of five variables to be optimized is determined according to preset rules, and respectively will using chaos sequence formula
Each variable mappings to be optimized are at p Chaos Variable, the Chaos Variable matrix of 5 × p of generation, p Chaos Variable column vector by
The Chaos Variable element composition that five variable mappings to be optimized obtain.
The value that five variables to be optimized are determined according to preset rules, can rule of thumb set can also wait for five
Optimized variable random assignment.
As shown in figure 4, it is the Parallel Chaos mapping principle figure of optimized variable.Five numbers to be optimized for becoming i.e. xi have five
It is a, therefore i=1,2 ..., 5, each optimized variable are mapped to p Chaos Variable { xi1,xi2,...,xip, it is 5 to be generated as line number
Columns is the Chaos Variable matrix of p, and simultaneously line number p can rule of thumb be preset the Chaos Variable.
The Chaos Variable matrix is specially：
By the Chaos Variable into chaos sequence formula is brought after generating first Chaos Variable for each optimized variable
In, second Chaos Variable is generated, then carry it into generation third Chaos Variable in chaos sequence formula, carried out successively, directly
To p Chaos Variable of generation.It is the independent variable matrix that 5 columns are p that a line number, which will finally be generated, i.e. p Chaos Variable arrange to
Amount, such asThe Chaos Variable that p Chaos Variable column vector is obtained by five variable mappings to be optimized
Element forms.
The chaos sequence formula is specially：
Wherein, Z is Chaos Variable, Ω=0.5, K=2, t=0,1,2......p, mod expression modulo operations.
Each variable to be optimized is brought the Chaos Variable in formula (7) into after generating first Chaos Variable,
Second Chaos Variable is generated, then carries it into and generates third Chaos Variable in formula (7), is carried out successively, until generation p is mixed
Ignorant variable.Five variables to be optimized are mapped to p Chaos Variable respectively respectively using chaos sequence formula (7), while will be waited for
The variation range difference " amplification " of optimized variable arrives the value range of corresponding Chaos Variable.
Step S330：The Chaos Variable element of p Chaos Variable column vector is substituted into the object function of step S310 respectively
In, obtain the disaggregation A for including p target function valueDD, according to the dominance relation of p object function solution from by force to weak to solution progress
Sequence.
Such as, the Chaos Variable element of the 1st Chaos Variable column vector is substituted into the object function of step S310, is obtained
A1, the Chaos Variable element of the 2nd Chaos Variable column vector is substituted into the object function of step S310, obtains A2, by p-th
The Chaos Variable element of Chaos Variable column vector substitutes into the object function of step S310, obtains Ap。
It dominates：Vectorial U=(u1, u2,......,uh) dominate vector V=(v1, v2,......,vh) and if only if：
Wherein h is variable number.
Such as, as the 1st group of solution (Fmin 1, Fmin 2) value be (0.01,0.02) when, the 2nd group of solution (Fmin 1, Fmin 2) value be
When (0.03,0.04), the 3rd group of solution (Fmin 1, Fmin 2Value be (0.02,0.01) when, according to dominance relation, it is believed that the 1st group of solution
The 2nd group of solution is dominated, but does not dominate the 3rd group of solution, and the 3rd group of solution dominates the 2nd group of solution.
Step S340：From being concentrated to the solution of weak arrangement by force, p/2 weaker object function solution is chosen, by the target of selection
Bring the target letter of step S310 after Chaos Variable element progress random combine in the corresponding Chaos Variable column vector of Function Solution into
In number, p/2 new object function solutions are obtained, the disaggregation A of target function value is replacedDDIn weaker p/2 object function solution,
To update disaggregation ADD。
Chaos Variable element in p/2 weaker object function solution its corresponding Chaos Variable column vector is carried out random
Combination is specially：The Chaos Variable element of the element of same number of rows in p/2 Chaos Variable column vector is exchanged into position at random,
P/2 new Chaos Variable row vector is generated, the combination diversity of Chaos Variable will be improved, it is excellent to be conducive to multiple target Parallel Chaos
The convergence rate of change method.
As former 1st and the 2nd Chaos Variable column vector are：The 1st after reconfiguring and the 2nd
Chaos Variable column vector is
Step S350：By disaggregation ADDMiddle p object function solution and disaggregation ADD-1Middle p object function solution is strong and weak according to dominating
Relationship sorts, and chooses the solution update disaggregation A of stronger p target function valueDD, judge disaggregation ADD whether not mutually dominate or
Whether satisfaction presets maximum iteration, if NO DD=DD+1, enters step S320, on the contrary then enter step S360；
Step S360：By disaggregation ADDMiddle p object function solution obtains optimal Chaos Variable after being further processed, into
And obtain output power.
Calculate separately disaggregation ADDMiddle p object function solution and initially solution (Pcin, Ics) between Euclidean distance, it is minimum
It is compromise solution apart from corresponding solution, corresponding Chaos Variable column vector is obtained by compromise solution, the compromise solution is corresponding mixed
Chaos Variable element in ignorant variable column vector is Optimal Chaotic variable, and then obtains output power：
Step S400：According to the input power that step S360 output powers and step S100 are obtained, and then obtains exchange and watch
Take the live efficiency of motor.
Without removing motor or individually doing some experimental projects to get parms when measuring AC servo motor efficiency, invade
Property it is low, and this method ability of searching optimum is strong, fast convergence rate, and error calculated is small, and accuracy is high.
Referring to Fig. 4, Fig. 4 is a kind of structure diagram of AC servo motor scene efficiency detecting system provided by the invention.
The present invention also provides a kind of AC servo motor scene efficiency detecting systems, including initialization module 1, and model is taken
Block 2, parallel chaotic optimization module 3 and Efficiency testing module 4 are modeled, wherein：
Initialization module 1, for obtaining AC servo motor nameplate data and measuring the input of acquisition AC servo motor
Power, stator current, stator resistance and rotor speed initialize the parameter of multiple target parallel chaotic optimization method；
Model buildings module 2 determines five variable difference to be optimized for building AC servo motor equivalent-circuit model
For：Stator leakage reactance, excitation resistance, excitation reactance, rotor resistance and wind friction loss coefficient；
Parallel chaotic optimization module 3, the parameter sent for receiving initialization module 1 and model buildings module 2, and by five
A variable to be optimized obtains optimal Chaos Variable after being handled by multiple target parallel chaotic optimization method, and then obtains output work
Rate；
Efficiency testing module 4 is used for the input of the output power and initialization module 1 according to parallel chaotic optimization module 3
Power, and then obtain the live efficiency of AC servo motor.
It obtains AC servo motor nameplate data and measures the input power for obtaining AC servo motor, stator current, determines
Sub- resistance and rotor speed initialize the parameter of multiple target parallel chaotic optimization method.Build AC servo motor equivalent circuit
Model determines that five variables to be optimized are respectively：Stator leakage reactance, excitation resistance, excitation reactance, rotor resistance and wind friction loss system
Number.Optimal Chaos Variable is obtained after five variables to be optimized are handled by multiple target parallel chaotic optimization method, and then is obtained
To output power；According to output power and input power, and then obtain the live efficiency of AC servo motor.Establish effective hand over
Flow servo motor Model for Multi-Objective Optimization, and consider the iron loss in motor, stator loss, rotor loss, wind friction loss and spuious consumption,
Make parameter value in equivalent circuit closer to the actual value in servo motor operational process.Using multiple target parallel chaotic optimization side
Method effectively enhances its search capability, can solve more complicated optimization problem, improve optimization efficiency.Exchange can be watched
It takes motor scene efficiency accurately to be detected, get parms without removing motor or individually doing some experimental projects, it is invasive
Low, accuracy is higher, to realize AC servo motor to the speed of control machinery element and accurately controlling for position.
A kind of AC servo motor scene Efficiency testing method and system provided by the present invention has been carried out in detail above
It introduces.Principle and implementation of the present invention are described for specific case used herein, the explanation of above example
It is merely used to help understand the core idea of the present invention.It should be pointed out that for those skilled in the art,
Without departing from the principles of the invention, can be with several improvements and modifications are made to the present invention, these improvement and modification are also fallen
Enter in the protection domain of the claims in the present invention.
Claims (7)
1. a kind of AC servo motor scene Efficiency testing method, which is characterized in that the described method comprises the following steps：
Step S100：It obtains AC servo motor nameplate data and measures the input power for obtaining AC servo motor, stator electricity
Stream, stator resistance and rotor speed initialize the parameter of multiple target parallel chaotic optimization method；
Step S200：AC servo motor equivalent-circuit model is built, determines that five variables to be optimized are respectively：Stator leakage reactance,
Excitation resistance, excitation reactance, rotor resistance and wind friction loss coefficient；
Step S300：Optimal chaos is obtained after five variables to be optimized are handled by multiple target parallel chaotic optimization method to become
Amount, and then obtain output power；
Step S400：According to the input power that step S300 output powers and step S100 are obtained, and then obtain AC servo electricity
The live efficiency of machine.
2. AC servo motor scene Efficiency testing method according to claim 1, which is characterized in that step S300 is specific
For：
Step S310：The object function of AC servo motor input power error and input current error is established, DD=1, DD are
Iterations；
Step S320：The value of five variables to be optimized is determined according to preset rules, and respectively will be each using chaos sequence formula
Variable mappings to be optimized generate the Chaos Variable matrix of 5 × p, p Chaos Variable column vector is by five at p Chaos Variable
The Chaos Variable composition that variable mappings to be optimized obtain；
Step S330：The element of p Chaos Variable column vector is substituted into respectively in the object function of step S310, obtains including p
The disaggregation A of a target function valueDD, according to the dominance relation of p object function solution from being ranked up to weak to solution by force；
Step S340：From being concentrated to the solution of weak arrangement by force, p/2 weaker object function solution is chosen, by the object function of selection
It solves after the element in corresponding Chaos Variable column vector carries out random combine and brings into the object function of step S310, obtain p/2
A new object function solution, replaces the disaggregation A of target function valueDDIn weaker p/2 object function solution, to update disaggregation
ADD；
Step S350：By disaggregation ADDMiddle p object function solution and disaggregation ADD-1Middle p object function solution is according to domination strong or weak relation
The solution update disaggregation A of stronger p target function value is chosen in sequenceDD, judge disaggregation ADDWhether not mutually dominate or whether
Meet and preset maximum iteration, if NO DD=DD+1 enters step S320, on the contrary then enter step S360；
Step S360：By disaggregation ADDMiddle p object function solution obtains optimal Chaos Variable after being further processed, and then obtains
To output power.
3. AC servo motor scene Efficiency testing method according to claim 2, which is characterized in that in the step
The object function of AC servo motor input power error and input current error is specially in 310：
Wherein, Fmin1Indicate the square error object function of input power, Fmin2Indicate the square error target letter of input current
Number, VsFor stator phase voltage, IsFor stator current, IcsTo measure stator current, RsFor stator resistance, XsFor stator leakage reactance, n is
Rotor speed, IrFor rotor current, RrFor rotor resistance, XrFor rotor leakage reactance, ImFor exciting current, RmFor excitation resistance, XmFor
Excitation reactance, Rss1For stray-load resistance, PcinFor input power, s is revolutional slip, SratedFor nominal load revolutional slip, k is to mend
Repay coefficient, kwfFor wind friction loss coefficient.
4. AC servo motor scene Efficiency testing method according to claim 3, which is characterized in that the step S320
Middle chaos sequence formula is specially：
Wherein, Z is Chaos Variable, Ω=0.5, K=2, t=0,1,2......p, mod expression modulo operations.
5. AC servo motor scene Efficiency testing method according to claim 4, which is characterized in that the step S340
The middle element by the weaker corresponding Chaos Variable column vector of p/2 object function solution carries out random combine：By p/2
The element of same number of rows in a Chaos Variable column vector exchanges position at random, generates p/2 new Chaos Variable row vector.
6. AC servo motor scene Efficiency testing method according to claim 5, which is characterized in that the step S360
Specially：Calculate separately disaggregation ADDMiddle p object function solution and initially solution (Pcin,Ics) between Euclidean distance, it is minimum
It is compromise solution apart from corresponding solution, Optimal Chaotic variable is obtained by the corresponding Chaos Variable column vector of compromise solution, and then obtain
To output power.
7. a kind of AC servo motor scene efficiency detecting system, which is characterized in that including initialization module, model buildings mould
Block, parallel chaotic optimization module and Efficiency testing module, wherein：
Initialization module, for obtain AC servo motor nameplate data and measure obtain AC servo motor input power,
Stator current, stator resistance and rotor speed initialize the parameter of multiple target parallel chaotic optimization method；
Model buildings module determines that five variables to be optimized are respectively for building AC servo motor equivalent-circuit model：It is fixed
Sub- leakage reactance, excitation resistance, excitation reactance, rotor resistance and wind friction loss coefficient；
Parallel chaotic optimization module, the parameter sent for receiving initialization module and model buildings module, and five are waited for excellent
Change after variable is handled by multiple target parallel chaotic optimization method and obtain optimal Chaos Variable, and then obtains output power；
Efficiency testing module, for according to the output power of parallel chaotic optimization module and the input power of initialization module, into
And obtain the live efficiency of AC servo motor.
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