CN103793559B - Numerical computations are combined parameter collaboration optimization design of electrical motor method with analytical analysis - Google Patents
Numerical computations are combined parameter collaboration optimization design of electrical motor method with analytical analysis Download PDFInfo
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Abstract
The invention belongs to technical field of electricity, specifically related to numerical computations are combined parameter collaboration optimization design of electrical motor method with analytical analysis, using electromagnetism in number crunching motor, temperature, fluid, thermal stress, vibration, the physical parameters such as noise change, summarize the electromagnetic performance Analytical Expression function cluster using structural member size as variable, different component maximum operating temperatures and maximum temperature difference analytical function, maximum thermal stress Analytical Expression function, motor electromagnetic noise changes function, the Analytical Expression function of component different directions maximum vibration mode value and intrinsic frequency, and then plan as a whole to consider the minute design that motor various aspects of performance carries out structural member size, increase substantially property indices and calculate accuracy；Using lack of balance with respect to bidirectional weighting method transformation object function, the influence of different performance index numerical values recited to checkout result itself is eliminated；Quantum calculation is introduced in intelligent optimization algorithm, makes algorithm that there is more preferable population diversity, global optimizing ability and faster convergence rate.
Description
Technical field
The invention belongs to technical field of electricity, and in particular to numerical computations are combined parameter collaboration optimization electricity with analytical analysis
Machine design method.
Background technology
The structures such as size of gaps, the slot form of motor not only have influence on the magnetic structure and output performance parameter of motor,
Simul relation influences Temperature Distribution to the wind path and thermal path for flowing through cooling air in motor；On the other hand, motor tooth
The change of the physical dimensions such as groove, iron core and magnetic pole can cause the harmonic components of air-gap field to change, so that electromagnetism during to motor operation
Noise and vibration produce influence.Electric machine structure part is directly connected to size magnetic circuit, thermal path and cooling medium fluid path,
Motor Foundation designs and should consider physical dimension as a whole to electromagnetism, temperature, vibration and noise various aspects of performance in optimization design
Influence.
The existing less consideration above mentioned problem of motor optimized design method, the defect existed has：1）Existing Motor Optimizing Design
Many for improving electromagnetism, temperature, vibration and noise etc., performance is carried out in a certain respect, does not consider prioritization scheme to other aspects of motor
Performance impact；2）Carried out more than existing motor optimized design method based on analytical Calculation programs such as " magnetic circuit " " hot roads ", do not accounted for
Magnetic field, temperature field, mode of oscillation etc. specifically divide situation, it is impossible to consider that structural member change in size causes the trickle distribution of each physical parameter
Change；3）For the Motor Optimizing Design of multiple target multivariable big data amount of calculation, existing optimized algorithm in global convergence and
Shortcomings in terms of iteration speed.
The content of the invention
The technical problems to be solved by the invention are that there is provided numerical computations and analytical analysis phase in view of the shortcomings of the prior art
Incorporating parametric collaboration optimization design of electrical motor method.
In order to realize foregoing invention purpose, the present invention proposes numerical computations and is combined parameter collaboration optimization with analytical analysis
Design of electrical motor method, comprises the following steps：
Step 1）Nonlinear electromagnetic field computation is analyzed：By non-linear electromagnetic field numerical computations in motor, motor magnetic is obtained
Field distribution and electromagnetic performance parameter become rule with Electric machine structure part size, summarize the electromagnetic performance using structural member size as variable
Analytical Expression function cluster；
Step 2）The multiple convergent iterations physic field coupling analysis of electromagnetism, fluid, temperature：Pass through electromagnetism, fluid, temperature in motor
Spend multiple convergent iterations physic field coupling to calculate, determine motor universe transient Temperature Distribution rule, find out the different components of motor most
Elevated operating temperature and maximum temperature difference are with physical dimension changing rule, and induction and conclusion goes out the different components by variable of structural member size
Maximum operating temperature changes function and maximum temperature difference change analytical function；
Step 3）Universe transient thermal stress field analysis：Consider the thermal conductivity factor and the coefficient of expansion of different assembly materials, be based on
The thermal stress distribution that its expansion or shrinkage is obstructed in motor when motor universe transient state temperature field obtains work, induction and conclusion goes out to tie
Scantling is the different component maximum thermal stress Analytical Expression functions of variable；
Step 4）Multistage mode of oscillation numerical computations under working frequency：Motor gas-gap under numerical computations different structure part size
Harmonic component size variation rule, calculates the motor electromagnetic noise change function derived using structural member size as variable；
Step 5）Motor gas-gap harmonic field is calculated with magnetic condensation wave component values and analyzed：The elasticity of meter and different assembly materials
Modulus and pool lattice ratio, multistage mode of oscillation numerical computations under motor working frequency, obtain stator core, winding, and rotor etc. is main
The Analytical Expression function of component different directions maximum vibration mode value and intrinsic frequency, with the change of motor size；
Step 6）The basic constraints of function is determined, variable change scope is determined；
Step 7）Weighting；
Step 8）Optimal solution is found out by calculating；
Step 9）Structural member size variable according to optimal solution is obtained improves motor global design scheme；
Step 10）Draw each component manuscript paper of motor, linear cutting die, punch die, laminate, coiling, rule, dipping lacquer, dress
Match somebody with somebody, experiment is determined after the qualifieds such as motor actual electromagnetic, temperature rise, vibration and noise, and scheme is shaped and produced in batches.
Structural member size variable：X=(x1,x2,x3,......,xk)T；
Electromagnetic performance Analytical Expression function cluster：Fe=(fe1,fe2,fe3,……,fen)；
Maximum operating temperature changes function：Ftmax=(ftmax1,ftmax2,ftmax3,……,ftmaxm)；
Maximum temperature difference changes analytical function：Ftdet=(ftdet1,ftdet2,ftdet3,……,ftdetm)；
Maximum thermal stress Analytical Expression function：Fsmax=(fsmax1,fsmax2,fsmax3,…,fsmaxo)；
Motor electromagnetic noise changes function：Fen=(fen)；
Maximum vibration mode value：Fmmax=(fmmax1,fmmax2,fmmax3,……,fmmaxp)；
The Analytical Expression function of intrinsic frequency：Fif=(fif1,fif2,fif3,……,fifp)。
The step 6）Also include：Determine that function constrains bar and is substantially：Electromagnetic performance is higher than former design Feod<Fe, temperature,
Vibration and noiseproof feature are less than design performance limit requirements Ftmax, Ftdet, Fsmax, Fen, Fmmax<For。
The step 7）Also include：It is weighted set so that above-mentioned electromagnetism output performance parametric function, Temperature Distribution letter
Number, thermal stress function, electromagnetic noise function, vibration natural frequency collection of functions turns into single integrated optimization aim majorized function, plus
Weight factor ωiMeet
The step 7）Also include：Specific item scalar functions ranking operation transforms target using lack of balance with respect to bidirectional weighting method
Function, different weight coefficient ω are distributed according to optimization aim primary and secondary weighti≠ωc（0 ＜ i≤j, 0 ＜ c≤j）, protrusion optimization
Key object in target system；Take simultaneously and correct weight coefficient on the basis of each value under declared working condition
Eliminate the influence of various physical function parameters numerical values reciteds to optimum results itself；According to performance indications requirement to improving and reducing
Positive flexible strategy and negative flexible strategy are respectively adopted in target, and unified majorized function extreme value target direction, normalizing is maximum value or minimum value search.
Single integrated optimization aim majorized function G globally optimal solutions are found out using optimized algorithm, it is each that optimization design goes out motor
Aspect performance plans as a whole optimal size of components
The step 8）Also include：Global optimizing is carried out using modified intelligent optimization algorithm；Described modified intelligence
Optimized algorithm, introduces quantum calculation, and quantum bit is updated using Quantum rotating gate, carries out the renewal of operator speed and position,
The variation of quantum bit is realized using quantum non-gate, increases the diversity of operator population.Adaptive iteration algebraically is used simultaneously, is dissipated
Random data cross, Gaussian mutation strategy and forward transition mode.Compared with traditional intelligent optimization algorithm, with more preferable population
Diversity, global optimizing ability and faster convergence rate；Described intelligent optimization algorithm include but are not limited to genetic algorithm,
Ant group algorithm, particle cluster algorithm, immune algorithm etc..
The structural member size summarized is three-dimensional dimension, and design is optimized for electric machine structure component feature space structure, is tied
Components three-dimensional size variable function is X=(x1,x2,x3,......,xk;y1,y2,y3,......,yk;z1,z2,z3,......,
zk)T。
Benefit of the invention is that：Pool considers motor electromagnetic output performance, operating temperature rise, vibration and noise each side
Face performance, significantly improves the dimensionally-optimised design object group scientific rationality of Electric machine structure part；With comprehensive physical Flow Field Numerical in motor
Based on calculating, compared to the optimization that existing analytical Calculation program is core, increase substantially property indices and calculate accuracy,
The minute design of structural member size can be carried out；Using lack of balance with respect to bidirectional weighting method transformation object function, eliminate
Influence of the numerical values recited of different performance index to checkout result itself；Quantum calculation is introduced in intelligent optimization algorithm, makes calculation
Method has more preferable population diversity, global optimizing ability and faster convergence rate.
Brief description of the drawings
Fig. 1 is the step flow chart of design method of the present invention；
Fig. 2 is electromagnetism, fluid, the multiple convergent iterations physic field coupling flow chart of temperature；
Fig. 3 is the design flow diagram of the embodiment of the present invention 1；
Fig. 4 is the design flow diagram of the embodiment of the present invention 2.
Embodiment
When considered in conjunction with the accompanying drawings, by referring to following detailed description, can more completely more fully understand the present invention with
And the adjoint advantage of many of which is easily learnt, but accompanying drawing described herein is used for providing a further understanding of the present invention,
Constitute the part of the present invention.
In order to facilitate the understanding of the purposes, features and advantages of the present invention, it is below in conjunction with the accompanying drawings and specific real
Applying mode, the present invention is further detailed explanation.
Embodiment 1：As shown in Figure 1 to Figure 3,
Step 1）Non-linear electromagnetic field numerical computations in motor, obtain motor-field distribution and electromagnetic performance parameter with motor
Structural member size becomes rule, summarizes with structural member size X=(x1,x2,x3,......,xk)TParsed for the electromagnetic performance of variable
Express function cluster Fe=(fe1,fe2,fe3,……,fen)；
The electromagnetic performance of motor has and stressed according to design requirement difference, includes but are not limited to armature supply I (X), effect
Rate eff (X), power factor pf (X), starting current Ist (X), starting torque Tst (X).
Step 2）The multiple convergent iterations physic field coupling of electromagnetism, fluid, temperature is calculated in motor, as shown in Fig. 2 determining electricity
Machine universe transient Temperature Distribution rule, finds out the different component maximum operating temperatures of motor and maximum temperature difference changes rule with physical dimension
Rule, induction and conclusion goes out with structural member size X=(x1,x2,x3,......,xk)TBecome for the different component maximum operating temperatures of variable
Change function Ftmax=(ftmax1,ftmax2,ftmax3,……,ftmaxm) and maximum temperature difference change analytical function Ftdet=(ftdet1,ftdet2,
ftdet3,……,ftdetm)；
The Temperature Distribution of motor can be different with working condition according to cooling system structure and selects different component optimization designs,
Include but are not limited to stator core maximum temperaturerise TMsc (X), stator winding maximum temperaturerise TMsw (X), the rotor core highest temperature
Rise TMrc (X), stator core maximum temperature difference TDsc (X), stator winding maximum temperature difference TDsw (X), rotor core maximum temperature difference
TDrc(X)。
Step 3）Consider the thermal conductivity factor and the coefficient of expansion of different assembly materials, obtained based on motor universe transient state temperature field
The thermal stress distribution that its expansion or shrinkage is obstructed in motor during work, induction and conclusion goes out with structural member size X=(x1,x2,
x3,......,xk)TFor the different component maximum thermal stress Analytical Expression function F of variablesmax=(fsmax1,fsmax2,
fsmax3,……,fsmaxo)；
The maximum thermal stress of each component of motor, which is investigated, to be included but are not limited to stator winding maximum thermal stress SMsw (X), determines
Son iron core maximum thermal stress SMsc (X), rotor core maximum thermal stress SMrc (X).
Step 4）Motor gas-gap harmonic component size variation rule under numerical computations different structure part size, calculating is derived
With structural member size X=(x1,x2,x3,......,xk)TFor the motor electromagnetic noise change function F of variableen=(fen)；
Step 5）Multistage mode of oscillation number under the modulus of elasticity and pool lattice ratio of meter and different assembly materials, motor working frequency
Value is calculated, and obtains stator core, winding, the primary clustering different directions maximum vibration mode value F such as rotormmax=(fmmax1,fmmax2,
fmmax3,……,fmmaxp) and intrinsic frequency Analytical Expression function Fif=(fif1,fif2,fif3,……,fifp), with motor size X
=(x1,x2,x3,......,xk)TChange；
In the optimization design of motor, mode of oscillation destination object includes but are not limited to stator core maximum vibration mode
MMsc (X), stator winding maximum vibration mode MMsw (X), rotor core maximum vibration mode MMrc (X), stator core are intrinsic
Frequency IFsc (X), stator winding intrinsic frequency IFsw (X), rotor core intrinsic frequency IFrc (X).
Step 6）Determine that function constrains bar and is substantially：Electromagnetic performance is higher than former design Feod<Fe, temperature, vibration and noise-induced
Design performance limit requirements F can be less thantmax, Ftdet, Fsmax, Fen, Fmmax<For；Determine that variable change scope meets design of electrical motor base
This size relationship, 0<X<Xn；, X ∈ Rn
Step 7）It is weighted set so that above-mentioned electromagnetism output performance parametric function, temperature profile function, thermal stress letter
Number, electromagnetic noise function, vibration natural frequency collection of functions turns into single integrated optimization aim majorized function, weighted factor ωiIt is full
Foot
Step 8）Single integrated optimization aim majorized function G globally optimal solutions are found out using optimized algorithm, optimization design goes out
Motor various aspects of performance plans as a whole optimal size of components.
Step 9）Structural member size variable according to optimal solution is obtained improves motor global design scheme, according to processing technology
Appropriate adjustment physical dimension design, and after optimizing and revising the index such as electromagnetism, temperature rise, vibration and noise of design motor and with original
Design index is contrasted, and such as not up to estimated performance improves effect, and adjustment weighted factor re-starts optimization design, such as
Reach that estimated performance improves effect and determines design；
Step 10）Draw each component manuscript paper of motor, linear cutting die, punch die, laminate, coiling, rule, dipping lacquer, dress
Match somebody with somebody, experiment is determined after the qualifieds such as motor actual electromagnetic, temperature rise, vibration and noise, and scheme is shaped and produced in batches.
Embodiment 2：As shown in Figure 1, Figure 2 and Figure 4, other steps are same as Example 1, wherein step 7）Specific item scalar functions
Ranking operation transforms object function using lack of balance with respect to bidirectional weighting method, distributes different according to optimization aim primary and secondary weight
Weight coefficient ωi≠ωc（0 ＜ i≤j, 0 ＜ c≤j）, protrude the key object in optimization aim system；
Take simultaneously and correct weight coefficient on the basis of each value under declared working conditionEliminate various physics
Influence of the performance parameter numerical values recited to optimum results itself；
Positive flexible strategy and negative flexible strategy, unified majorized function pole are respectively adopted to improving and reducing target according to performance indications requirement
It is worth target direction, normalizing is maximum value or minimum value search.
Wherein step 8）Global optimizing is carried out using modified intelligent optimization algorithm.
Described modified intelligent optimization algorithm, introduces quantum calculation, updates quantum bit using Quantum rotating gate, enters
Row operator speed and the renewal of position, the variation of quantum bit is realized using quantum non-gate, increases the diversity of operator population.Together
Shi Caiyong adaptive iteration algebraically, scattered data being intersection, Gaussian mutation strategy and forward transition mode.With traditional intelligent optimization
Algorithm is compared, with more preferable population diversity, global optimizing ability and faster convergence rate.
Described intelligent optimization algorithm includes but are not limited to genetic algorithm, ant group algorithm, particle cluster algorithm, immune algorithm
Deng.
Parameter collaboration optimization design of electrical motor method is combined with analytical analysis to numerical computations provided by the present invention above
It is described in detail, the exemplary embodiment of the application is described above by reference to accompanying drawing.People in the art
Member is it should be understood that purpose that the embodiment above is merely to illustrate that and the example lifted, rather than for being limited, all
Any modification, equivalent substitution for being made under teachings of the present application and claims etc., should be included in the application
In claimed scope.
Claims (6)
1. numerical computations are combined parameter collaboration optimization design of electrical motor method with analytical analysis, it is characterised in that including following step
Suddenly：
Step 1) analysis of nonlinear electromagnetic field computation：By non-linear electromagnetic field numerical computations in motor, motor-field point is obtained
Cloth and electromagnetic performance parameter summarize the electromagnetic performance solution using structural member size as variable with Electric machine structure part law of dimension
Analysis expression function cluster；
Step 2) electromagnetism, the multiple convergent iterations physic field coupling analysis of fluid, temperature：It is many by electromagnetism, fluid, temperature in motor
Weight convergent iterations physic field coupling is calculated, and determines motor universe transient Temperature Distribution rule, finds out the different component most senior engineers of motor
Make temperature and maximum temperature difference with physical dimension changing rule, induction and conclusion goes out the different component highests by variable of structural member size
Temperature change function and maximum temperature difference change analytical function；
Step 3) universe transient thermal stress field analysis：The thermal conductivity factor and the coefficient of expansion of different assembly materials are considered, based on motor
The thermal stress distribution that its expansion or shrinkage is obstructed in motor when universe transient state temperature field obtains work, induction and conclusion goes out with structural member
Size is the different component maximum thermal stress Analytical Expression functions of variable；
Step 4) multistage mode of oscillation numerical computations under working frequency：Motor gas-gap harmonic wave under numerical computations different structure part size
Component size changing rule, calculates the motor electromagnetic noise change function derived using structural member size as variable；
Step 5) motor gas-gap harmonic field and magnetic condensation wave component values calculate and analyze：The modulus of elasticity of meter and different assembly materials
With pool lattice ratio, multistage mode of oscillation numerical computations under motor working frequency obtain stator core, winding, and rotor different directions are most
The Analytical Expression function of big mode of oscillation value and intrinsic frequency, with the change of motor size；
Step 6) the basic constraints of function is determined, determine variable change scope；
Step 7) weighting, it is weighted set so that above-mentioned electromagnetism output performance parametric function, temperature profile function, thermal stress
Function, electromagnetic noise function, vibration natural frequency collection of functions turns into single integrated optimization aim majorized function, weighted factor ωi
MeetJ=n+m+o+p, n are electromagnetic performance Analytical Expression function cluster argument of function number, and m is temperature change
Argument of function number, o is thermal stress Analytical Expression argument of function number, and p is the Analytical Expression of vibration natural frequency
Argument of function number；
Step 8) find out optimal solution by calculating；
Step 9) improve motor global design scheme according to the structural member size variable for obtaining optimal solution；
Step 10) draw each component manuscript paper of motor, linear cutting die, punch die, laminate, coiling, rule, dipping lacquer, assembling, examination
Test determine motor actual electromagnetic, temperature rise, vibration and noise objective it is qualified after, scheme is shaped and produced in batches.
2. numerical computations according to claim 1 are combined parameter collaboration optimization design of electrical motor method with analytical analysis, its
It is characterised by：
Structural member size variable：X=(x1,x2,x3,......,xk)T；
Electromagnetic performance Analytical Expression function cluster：Fe=(fe1,fe2,fe3,……,fen)；
Maximum operating temperature changes function：Ftmax=(ftmax1,ftmax2,ftmax3,……,ftmaxm)；
Maximum temperature difference changes analytical function：Ftdet=(ftdet1,ftdet2,ftdet3,……,ftdetm)；
Maximum thermal stress Analytical Expression function：Fsmax=(fsmax1,fsmax2,fsmax3,…,fsmaxo)；
Motor electromagnetic noise changes function：Fen=(fenoise)；
Maximum vibration mode value：Fmmax=(fmmax1,fmmax2,fmmax3,……,fmmaxp)；
The Analytical Expression function of intrinsic frequency：Fif=(fif1,fif2,fif3,……,fifp)。
3. numerical computations according to claim 2 are combined parameter collaboration optimization design of electrical motor method with analytical analysis, its
It is characterised by the step 6) also include：Determine that function constrains bar and is substantially：Electromagnetic performance is higher than former design Feod<Fe, temperature,
Vibration and noiseproof feature are less than design performance limit requirements Ftmax, Ftdet, Fsmax。
4. numerical computations according to claim 1 are combined parameter collaboration optimization design of electrical motor method with analytical analysis, its
It is characterised by the step 7) also include：Specific item scalar functions ranking operation transforms target using lack of balance with respect to bidirectional weighting method
Function, different weight coefficient ω are distributed according to optimization aim primary and secondary weighti≠ωc(0 ＜ i≤j, 0 ＜ c≤j), protrusion optimization
Key object in target system；Take simultaneously and correct weight coefficient on the basis of each value under declared working condition(0 ＜ i≤j), disappears
Influence except various physical function parameters numerical values reciteds itself to optimum results；According to performance indications requirement to improving and reducing mesh
Positive flexible strategy and negative flexible strategy are respectively adopted in mark, and unified majorized function extreme value target direction, normalizing is maximum value or minimum value search.
5. numerical computations according to claim 1 are combined parameter collaboration optimization design of electrical motor method with analytical analysis, its
It is characterised by the step 8) also include：Global optimizing is carried out using modified intelligent optimization algorithm；Described modified intelligence
Optimized algorithm, introduces quantum calculation, and quantum bit is updated using Quantum rotating gate, carries out the renewal of operator speed and position,
The variation of quantum bit is realized using quantum non-gate, increases the diversity of operator population；Adaptive iteration algebraically is used simultaneously, is dissipated
Random data cross, Gaussian mutation strategy and forward transition mode；Compared with traditional intelligent optimization algorithm, with more preferable population
Diversity, global optimizing ability and faster convergence rate；Described intelligent optimization algorithm include genetic algorithm, ant group algorithm,
Particle cluster algorithm, immune algorithm.
6. numerical computations according to claim 1 or 2 are combined parameter collaboration optimization design of electrical motor method with analytical analysis,
Characterized by further comprising：The structural member size summarized is three-dimensional dimension, is carried out for electric machine structure component feature space structure excellent
Change design, structural member three-dimensional dimension variable function is X=(x1,x2,x3,......,xk；y1,y2,y3,......,yk；z1,z2,
z3,......,zk)T。
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| CN106021706B (en) * | 2016-05-17 | 2019-02-15 | 北京交通大学 | High performance induction motor light weight method based on the collaboration optimization of population multiple physical field |
| CN106250595B (en) * | 2016-07-25 | 2019-06-07 | 四川大学 | Materials hot working whole process heating power stream microstructure multiple physical field numerical computation method |
| CN106940735B (en) * | 2016-10-19 | 2021-05-14 | 天津大学 | Method for predicting elastic vibration stability of induction motor |
| CN107977518B (en) * | 2017-12-06 | 2021-09-07 | 北京精密机电控制设备研究所 | Multidisciplinary joint simulation method for servo motor design |
| CN108390607A (en) * | 2018-01-29 | 2018-08-10 | 北京交通大学 | A kind of computational methods in windy road complex fluid domain ac motor temperature field |
| CN112307627A (en) * | 2020-11-02 | 2021-02-02 | 中国舰船研究设计中心 | Intelligent design method of all-optical device on complex function chip |
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