CN107666220A - A kind of robustness optimization method of ultra high efficiency AC permanent magnet synchronous motor - Google Patents
A kind of robustness optimization method of ultra high efficiency AC permanent magnet synchronous motor Download PDFInfo
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- CN107666220A CN107666220A CN201711133892.2A CN201711133892A CN107666220A CN 107666220 A CN107666220 A CN 107666220A CN 201711133892 A CN201711133892 A CN 201711133892A CN 107666220 A CN107666220 A CN 107666220A
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- permanent magnet
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- 230000001360 synchronised effect Effects 0.000 title claims abstract description 29
- 238000005457 optimization Methods 0.000 title claims abstract description 24
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000013461 design Methods 0.000 claims abstract description 19
- 238000004458 analytical method Methods 0.000 claims abstract description 12
- 230000008859 change Effects 0.000 claims abstract description 9
- 238000005259 measurement Methods 0.000 claims abstract description 8
- 238000005070 sampling Methods 0.000 claims abstract description 8
- 238000009826 distribution Methods 0.000 claims abstract description 5
- 230000007547 defect Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 230000008707 rearrangement Effects 0.000 claims description 3
- 238000004088 simulation Methods 0.000 claims description 3
- 230000009466 transformation Effects 0.000 claims description 3
- 230000009897 systematic effect Effects 0.000 abstract description 4
- 238000011160 research Methods 0.000 abstract description 2
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 229910052802 copper Inorganic materials 0.000 description 2
- 239000010949 copper Substances 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 230000005389 magnetism Effects 0.000 description 1
- 238000011112 process operation Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02K—DYNAMO-ELECTRIC MACHINES
- H02K15/00—Processes or apparatus specially adapted for manufacturing, assembling, maintaining or repairing of dynamo-electric machines
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02K—DYNAMO-ELECTRIC MACHINES
- H02K21/00—Synchronous motors having permanent magnets; Synchronous generators having permanent magnets
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Manufacturing & Machinery (AREA)
- Control Of Ac Motors In General (AREA)
Abstract
The invention discloses a kind of robustness optimization method of ultra high efficiency AC permanent magnet synchronous motor, comprise the following steps：Step 1: definition；Step 2: measurement；Step 3: analysis；Step 4: design；Step 5: checking；With statistical means, on the basis of motor body optimization, consider uncertain interference present in AC permanent magnet synchronous motor optimization design, and estimate the intensity that this uncertain noises change to systematic function, influence of the research disturbance to performance indications, using descriptive sampling method, the ability of systematic function change is estimated, extract to obey and require that the stochastic variable sample of distribution is used for robustness optimization, interior remain unchanged of the certain range of disturbance of AC permanent magnet synchronous motor for designing it keeps preferable performance level, by continuous iteration and disturbance is brought into seek optimal solution of the optimized variable under disturbance, obtain the optimal electric machine structure size of robustness, preferably influence of the be likely encountered uncertain factor of reply to motor performance.
Description
Technical field
The present invention relates to AC permanent magnet synchronous motor technical field, in particular to one kind it is various uncertain and with
Under the disturbed condition of machine, the ultra high efficiency that certain robustness can be had by ensureing each design parameter of AC permanent magnet synchronous motor exchanges
The robustness optimization method of permagnetic synchronous motor.
Background technology
AC permanent magnet synchronous motor because its power factor and efficiency high, it is simple in construction flexibly, Stability Analysis of Structures it is reliable etc. numerous
Advantage is widely paid close attention to；Researchers carry out various trials, and the excellent of different aspects is carried out to AC permanent magnet synchronous motor
Change design, on the premise of benefit, meet its performance requirement；In the size ginseng to AC permanent magnet synchronous motor body
Number, performance parameter design in, the disturbance of process operation error in actual process, the randomness for coming from the external world also or is set
The uncertain factors such as loss and change for space structure after aging, the output performance of motor can be caused and contemplate that certain difference
Do not meet performance requirement even, have the Optimization Design of certain antijamming capability particularly significant for this.
The content of the invention
It is an object of the present invention to provide a kind of robustness optimization method of ultra high efficiency AC permanent magnet synchronous motor, solves the above
Technical problem.
In order to realize above-mentioned technical purpose, reach above-mentioned technical requirements, the technical solution adopted in the present invention is：It is a kind of
The robustness optimization method of ultra high efficiency AC permanent magnet synchronous motor, it is characterized in that：Comprise the following steps：
Step 1: definition；The permanent magnet width of AC permanent magnet synchronous motor, thickness, diameter of wire are chosen as optimized variable, really
Determine range of disturbance, object function, specify object function weight coefficientw μ 、w σ , weighted factor and sigma level；
Step 2: measurement；Using descriptive sampling method, line discipline is entered in range of disturbance to optimized variable according to certain step-length
Change sampling, the interference that simulation uncertain disturbances are brought influences on motor size parameter, measures computing assessment, and according to existing
The probability distribution of real problem carries out inverse transformation, rearrangement；
Step 3: analysis；Bring sampled point into object function to be calculated, then carry out the average of sample point target function value
With the operational analysis of standard deviation, analysis contrast is carried out to the data of operation result of measurement, finds out defect, until it meets design requirement；
Step 4: design；According to identified object function weight coefficientw μ 、w σ And the restrictive condition of each parameter of motor, production
Raw new individual of sample, and see and whether restrain, whether object function is optimal, is not optimal then repeat step two；
Step 5: checking；In the case that object function is optimal, processing arrangement is carried out to data, obtains AC permanent magnet synchronous motor
Robust optimization design result, output motor dimensional parameters.
As preferable technical scheme：Described sigma leveln=3。
As preferable technical scheme：Described step four, using statistical means, according to object function weighting parameter,
Restrictive condition determines the new parameter of electric machine, judges whether the optimal requirement for meeting target function value, it is new to be unsatisfactory for then grey iterative generation
The parameter of electric machine, newly disturb sample, recalculate object function, until meeting that object function is optimal.
The beneficial effects of the invention are as follows：A kind of robustness optimization method of ultra high efficiency AC permanent magnet synchronous motor, with tradition
Method is compared：Using " definition ", " measurement ", " analysis ", " design ", " checking " five steps, with statistical means, in motor
On the basis of body optimization, uncertain interference present in AC permanent magnet synchronous motor optimization design is considered, and estimate this
The intensity that kind uncertain noises change to systematic function, influence of the research disturbance to performance indications are right using descriptive sampling method
The ability of systematic function change is estimated, and is extracted obedience and is required that the stochastic variable sample of distribution is used for robustness optimization, makes it
Preferable performance level still is kept in the certain range of disturbance of AC permanent magnet synchronous motor of design, based on mathematical statistics,
Flow is tracked and analyzed, finds out each correlative factor for realizing target, and basic reason is identified from these factors,
Then the sustainable method solved the problems, such as is found out, and by continuous iteration and brings disturbance into seek optimized variable under disturbance
Optimal solution, the optimal electric machine structure size of robustness is obtained, preferably the be likely encountered uncertain factor of reply is to exchanging forever
The influence of magnetic-synchro motor performance.
Brief description of the drawings
Fig. 1 is the process chart of the present invention.
Embodiment
The present invention is further described below in conjunction with the accompanying drawings；
In the accompanying drawings：A kind of robustness optimization method of ultra high efficiency AC permanent magnet synchronous motor, comprises the following steps：
Step 1: definition；The permanent magnet width of AC permanent magnet synchronous motor, thickness, diameter of wire are chosen as optimized variable, really
Determine range of disturbance, object function, specify object function weight coefficientw μ 、w σ , weighted factor and sigma level；Described western lattice
Agate is horizontaln=3；
Step 2: measurement；Using descriptive sampling method, line discipline is entered in range of disturbance to optimized variable according to certain step-length
Change sampling, the interference that simulation uncertain disturbances are brought influences on motor size parameter, measures computing assessment, and according to existing
The probability distribution of real problem carries out inverse transformation, rearrangement；
Step 3: analysis；Bring sampled point into object function to be calculated, then carry out the average of sample point target function value
With the operational analysis of standard deviation, analysis contrast is carried out to the data of operation result of measurement, finds out defect, until it meets design requirement；
Step 4: design；According to identified object function weight coefficientw μ 、w σ And the restrictive condition of each parameter of motor, production
Raw new individual of sample, and see and whether restrain, whether object function is optimal, is not optimal then repeat step two；Using statistics
Instrument, according to object function weighting parameter, restrictive condition（The conditions such as copper factor, magnetic is close）It is determined that the new parameter of electric machine, judgement are
The no optimal requirement for meeting target function value, is unsatisfactory for, and grey iterative generation new motor parameter, newly disturbs sample, recalculates target
Function, until meeting that object function is optimal；
Step 5: checking；In the case that object function is optimal, processing arrangement is carried out to data, obtains AC permanent magnet synchronous motor
Robust optimization design result, output motor dimensional parameters；
By continuous iteration and disturbance is brought into seek optimal solution of the optimized variable under disturbance, obtains the optimal motor of robustness
Physical dimension, preferably influence of the be likely encountered uncertain factor of reply to AC permanent magnet synchronous motor performance, have compared with
Strong practicality.
Parameter after the AC permanent magnet synchronous motor robustness optimization of table 1
| Range of disturbance | w μ :w σ | Fitness | μ f | σ f |
| ±0.01 | 1:100 | 2.1330 | 0.2120 | 1.2097e-006 |
| ±0.01 | 1:50 | 1.8147 | 0.2009 | 8.4983e-007 |
| ±0.01 | 1:10 | 2.0520 | 0.1999 | 2.9441e-007 |
| ±0.025 | 1:50 | 2.2769 | 0.2359 | 1.2210e-006 |
| ±0.05 | 1:50 | 2.0403 | 0.1979 | 2.4259e-006 |
The AC permanent magnet synchronous motor robustness optimization Comparative result of table 2
| Variable and performance | Initial design | Robustness optimization |
| Permanent magnetism body thickness, hm/cm | 0.18 | 0.1788 |
| Permanent magnet width, bm/cm | 3.14 | 3.0018 |
| Per the groove wire number of turn, Ns | 72 | 83 |
| Diameter of wire, d/mm | 0.5 | 0.50 |
| No-load back electromotive force/V | 66.0 | 75.7777 |
| qShaft current component Iq/A | 4.78 | 4.3258 |
| dShaft current component Id/A | 1.60 | 0.0503 |
| Electric efficiency, η (%) | 83.7 | 85.7811 |
| Wire cost/member | 72.6 | 82.1443 |
| Permanent magnet cost/member | 41.3 | 39.3848 |
| Rated output power, P2/W | 946 | 951.9331 |
| Copper factor, Sf (%) | 67 | 76.7050 |
Above-described embodiment is only intended to clearly illustrate the description that the present invention is made, and is not the restriction to embodiment, for
For those skilled in the art, it can also make other changes in different forms on the basis of the above description,
There is no necessity and possibility to exhaust all the enbodiments, and the obvious changes or variations thus amplified out is still
Among protection scope of the present invention.
Claims (3)
1. a kind of robustness optimization method of ultra high efficiency AC permanent magnet synchronous motor, it is characterized in that：Comprise the following steps：
Step 1: definition；The permanent magnet width of AC permanent magnet synchronous motor, thickness, diameter of wire are chosen as optimized variable, really
Determine range of disturbance, object function, specify object function weight coefficientw μ 、w σ , weighted factor and sigma level；
Step 2: measurement；Using descriptive sampling method, line discipline is entered in range of disturbance to optimized variable according to certain step-length
Change sampling, the interference that simulation uncertain disturbances are brought influences on motor size parameter, measures computing assessment, and according to existing
The probability distribution of real problem carries out inverse transformation, rearrangement；
Step 3: analysis；Bring sampled point into object function to be calculated, then carry out the average of sample point target function value
With the operational analysis of standard deviation, analysis contrast is carried out to the data of operation result of measurement, finds out defect, until it meets design requirement；
Step 4: design；According to identified object function weight coefficientw μ 、w σ And the restrictive condition of each parameter of motor, produce
New individual of sample, and see and whether restrain, whether object function is optimal, is not optimal then repeat step two；
Step 5: checking；In the case that object function is optimal, processing arrangement is carried out to data, obtains AC permanent magnet synchronous motor
Robust optimization design result, output motor dimensional parameters.
2. a kind of robustness optimization method of ultra high efficiency AC permanent magnet synchronous motor according to claim 1, it is characterized in that：
Described sigma leveln=3。
3. a kind of robustness optimization method of ultra high efficiency AC permanent magnet synchronous motor according to claim 1, it is characterized in that：
Described step four, using statistical means, the new parameter of electric machine is determined according to object function weighting parameter, restrictive condition, is sentenced
The disconnected optimal requirement for whether meeting target function value, is unsatisfactory for, and grey iterative generation new motor parameter, newly disturbs sample, recalculates
Object function, until meeting that object function is optimal.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201711133892.2A CN107666220A (en) | 2017-11-16 | 2017-11-16 | A kind of robustness optimization method of ultra high efficiency AC permanent magnet synchronous motor |
| PCT/CN2017/113272 WO2019095433A1 (en) | 2017-11-16 | 2017-11-28 | Robustness optimization method for ultra-high efficiency alternating-current permanent magnet synchronous electric motor |
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| CN201711133892.2A CN107666220A (en) | 2017-11-16 | 2017-11-16 | A kind of robustness optimization method of ultra high efficiency AC permanent magnet synchronous motor |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113312740A (en) * | 2020-12-03 | 2021-08-27 | 无锡川木驱动科技有限公司 | Novel optimization design method for built-in permanent magnet synchronous motor |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104038135A (en) * | 2014-06-27 | 2014-09-10 | 沈阳工业大学 | Novel torque motor structure parameter optimization method |
| CN104333283A (en) * | 2014-10-22 | 2015-02-04 | 南方电网科学研究院有限责任公司 | Double-fed motor stator current robust control method based on loop forming |
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| US6198181B1 (en) * | 1999-11-22 | 2001-03-06 | General Electric Company | Motor design methods and motors fabricated therefrom |
| JP2004320885A (en) * | 2003-04-16 | 2004-11-11 | Hitachi Ltd | Magnetic field analysis method for rotating machine and program |
| CN103236769A (en) * | 2013-04-24 | 2013-08-07 | 江苏大学 | Method for optimizing key parameters of bearingless permanent magnet motor |
| CN103248306B (en) * | 2013-05-24 | 2015-05-13 | 天津大学 | Online decoupling identification method of multiple parameters of PMSM (permanent magnet synchronous motor) |
| CN104779747B (en) * | 2014-09-23 | 2017-10-13 | 湖南大学 | The lower AC permanent-magnetic generator Systematic Method of PWM rectifier control |
| CN104716790A (en) * | 2015-04-03 | 2015-06-17 | 李松年 | 22KW permanent magnet synchronous motor design method |
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- 2017-11-16 CN CN201711133892.2A patent/CN107666220A/en active Pending
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104038135A (en) * | 2014-06-27 | 2014-09-10 | 沈阳工业大学 | Novel torque motor structure parameter optimization method |
| CN104333283A (en) * | 2014-10-22 | 2015-02-04 | 南方电网科学研究院有限责任公司 | Double-fed motor stator current robust control method based on loop forming |
Non-Patent Citations (1)
| Title |
|---|
| 姚军: "载人潜水器耐压壳多目标优化设计", 《中国学位论文全文数据库》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113312740A (en) * | 2020-12-03 | 2021-08-27 | 无锡川木驱动科技有限公司 | Novel optimization design method for built-in permanent magnet synchronous motor |
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