CN106844923B - Parameterization design method of multiphase permanent magnet motor - Google Patents
Parameterization design method of multiphase permanent magnet motor Download PDFInfo
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Abstract
In order to achieve the purpose, the invention designs a parameterization design method of a multiphase permanent magnet motor, which is characterized by comprising the following steps: firstly, inputting or modifying design variables of a motor; inputting or modifying the virtual test configuration of the motor; thirdly, generating a motor design list to be evaluated according to the design variables in the step one; fourthly, finite element modeling and setting are carried out on the motors in the motor design list in the third step; fifthly, carrying out virtual test on the finite element by using the finite element model in the fourth step according to the parameters in the second step; sixthly, post-processing the result in the step five; seventhly, repeating the fourth step to the sixth step until all the parameters in the motor design list in the third step are evaluated; and eighthly, generating a report of motor design and performance. The design method is suitable for the radial flux permanent magnet motor design with any number of phases, any pole slot matching, and various stator slot types and magnetic pole types.
Description
Technical Field
The invention belongs to the technical field of motor design, and particularly relates to a parameterized electromagnetic design method of a multiphase permanent magnet motor.
Background
The permanent magnet motor replaces an excitation winding with a rare earth permanent magnet material with high magnetic energy product, and has the advantages of high power density, simple mechanical structure, high efficiency in a full speed regulation range and the like. Has been widely applied to the fields of wind power generation, electric (hybrid) automobiles, ship propulsion and the like. In addition, the permanent magnet motor which is specially and optimally designed has very smooth and stable output torque and small harmonic component of air gap electromagnetic force, so the permanent magnet motor has the characteristic of low vibration noise and is particularly suitable for high-end application occasions such as naval vessel propulsion, aerospace, advanced manufacturing and the like.
However, because the structure of the permanent magnet motor is flexible and changeable, the magnetic circuit is complex and the nonlinearity is strong, the conventional motor design method is difficult to meet the requirements of the permanent magnet motor design on rapidity, accuracy and universality, thereby limiting the further improvement of the performance of the permanent magnet motor.
The traditional analytic magnetic circuit analysis method is widely applied to the design of an electrically excited synchronous motor and an induction motor, but the application of the analytic magnetic circuit analysis method is on the premise that the magnetic circuit inside the motor is relatively regular. The permanent magnet motor has a variable structure, a magnetic circuit is complex, local saturation is severe, and accurate analysis and design results are difficult to obtain by applying a traditional analytic magnetic circuit method.
The other permanent magnet motor design method is a magnetic grid method, the motor is divided into a 2-dimensional or 3-dimensional magnetic potential node grid, the nodes are connected through a minimum artificially defined magnetic circuit unit, and the performance of the motor can be analyzed by solving the magnetic circuit network. The motor design method is high in speed and high in precision, but when the structure and even the size of the motor change, the magnetic potential node grids need to be redefined manually, so that the method is very dependent on the experience of a motor designer, and is poor in universality.
The finite element method is a universal motor analysis and design method, and divides a geometric model of a motor into a large number of triangular or tetrahedral meshes by an automatic subdivision algorithm, and then analyzes the performance of the motor based on a variation principle. The method has high design precision, so that a motor designer commonly uses the method to carry out design fine adjustment and design check; meanwhile, the automatic mesh generation algorithm is suitable for any motor structure and has strong universality. With the continuous progress of computer hardware and the optimization of a finite element algorithm, the finite element analysis speed of the permanent magnet motor is fast enough and is no longer a bottleneck factor for restricting the design of the permanent magnet motor. However, the modeling and setting process of the finite element model of the permanent magnet motor is complex and time-consuming, and even a skilled motor designer needs few hours to complete modeling, setting and debugging of a type of motor and more than ten hours. In the design process of the permanent magnet motor, one or more design variables are required to be changed, and an optimized electromagnetic scheme meeting design requirements is found through continuous iteration or evaluation of massive (hundreds to thousands) designs. Obviously, the existing finite element method does not meet the requirement of permanent magnet motor design on rapidity.
Because the above design methods are difficult to meet the requirements of permanent magnet motor design on precision, efficiency and universality, an improved permanent magnet motor design method is urgently needed to be provided to solve the problem of rapidity of a permanent magnet motor finite element design method.
Disclosure of Invention
Aiming at the technical defects of the design of the existing permanent magnet motor, the invention aims to provide a parametric design method for a multi-phase permanent magnet motor with any phase number, any pole slot matching, various stator slot types and various magnetic pole types.
In order to achieve the purpose, the invention designs a parameterization design method of a multiphase permanent magnet motor, which is characterized by comprising the following steps:
firstly, inputting or modifying design variables of a motor;
inputting or modifying the virtual test configuration of the motor;
thirdly, generating a motor design list to be evaluated according to the design variables in the step one;
fourthly, finite element modeling and setting are carried out on the motors in the motor design list in the third step;
fifthly, carrying out virtual test on the finite element by using the finite element model in the fourth step according to the parameters in the second step;
sixthly, post-processing the result in the step five;
seventhly, repeating the fourth step to the sixth step until all the parameters in the motor design list in the third step are evaluated;
and eighthly, generating a report of motor design and performance.
Preferably, the design variables in the first step include setup variables, general design variables, design variables unique to different slot types, and design variables unique to different rotor pole types.
Further preferably, the input value of any one of the design variables may be a single value or an array, and represents a traversal value range of the motor design variable.
Further preferably, the setting variables comprise simulation setting parameters required by a simulation platform and working condition setting parameters of the motor design.
Preferably, the universal design variables refer to design variables common to motors with different structures, and mainly comprise materials of all parts of the motor, winding parameters of the motor, geometric dimensions of stator slots, macroscopic geometric dimensions of the motor, geometric dimensions of rotor magnetic poles and a slot filling rate calculation module; unique design variables refer to unique design variables that are possessed by different stator slot types and rotor pole types, which are used to further define and describe specific stator slot sizes and rotor pole sizes.
Still further preferably, the slot fullness calculation module is an auxiliary calculation module, which calculates the actual slot fullness of the stator slot according to the insulation specification of the motor, the parameters of the partial winding and the geometric dimensions of the partial stator slot, and fills the actual slot fullness back into the geometric dimensions of the stator slot.
Preferably, the second step comprises: a) determining the type of the virtual test; b) configuring relevant parameters of the test according to the virtual test type determined in the a). Generally, the virtual test types include single-working-condition testing, current angle scanning, dq differential inductance calculation, loss analysis, electromagnetic wave analysis, inductance matrix calculation, and the like. The virtual test type configures relevant parameters of the test, for example, the single-working-condition test needs to specify working condition information such as current amplitude, current angle, rotating speed and the like.
Preferably, the finite element modeling process in step four includes the following steps:
1) according to the design variable of the motor, the motor is in butt joint with a finite element kernel, and a blank model is created;
2) determining the matching of the pole slots of the motor and the symmetrical period of modeling through design variables;
3) drawing a stator core, a stator slot and a conductor in the slot;
4) splitting phases of conductors in the slot, determining the position of a winding axis by using a phase splitting result, and applying winding excitation;
5) drawing a rotor magnetic pole and applying permanent magnet excitation;
6) drawing a solution domain, and setting a boundary condition and a motion relation;
7) setting parameters of mesh generation and simulation time steps, and defining a field function for analyzing subsequent results;
preferably, the phase separation in step 4) comprises the steps of:
calculating the mechanical angle difference alpha between adjacent grooves on the machines，
Second, using the slot vector planetary diagram to calculate the electric angle difference alpha between adjacent phasorsph；
Thirdly, the electrical angle difference of adjacent grooves on the computer is further calculated
Calculating the number k of adjacent phasors skipped by mechanically adjacent slots in the main planet of the slot vector planetary diagram,
fifthly, filling all the phasors of the main planet in sequence according to the result in the step (iv) to obtain the mapping relation between the phasor number of the main planet and the mechanical serial number of the slot, and filling all the phasors of the secondary planet in sequence according to the result in the step (iv) to obtain the mapping relation between the phasor number of the secondary planet and the mechanical serial number of the slot;
sixth judgement
Whether the number is an integer, calculating the number of phase bands and the number of slots of each phase of the motor:
seventhly, finding out the slot numbers of the upper layer edges of the phase belts of the phase 1 according to the obtained corresponding relation between the slot numbers and the phasor numbers, and setting an excitation source reference direction for the upper layer edges of the phase belts; after the upper layer edge of each phase band is set, finding out the corresponding lower layer edge, and setting the reference direction of the excitation source;
after finishing the setting of the phase 1, repeating the step (c) until the phase is set;
wherein Q is the total slot number of the motor; p is the number of pole pairs of the motor; m is the number of motor phases; t the number of cycles of the motor, which is the greatest common divisor of the total number of slots Q of the motor and the number p of pole pairs of the motor.
Preferably, the report in the step eight includes a classification test result report of a single motor design, a comprehensive performance report of a single motor design, and a performance comparison report of a mass motor design scanned by multiple design variables.
The invention has the beneficial effects that: the invention improves the conventional finite element design method, and frees a motor designer from the complicated and lengthy finite element modeling and setting process by parameterizing all design variables of the motor and automating the processes of modeling, setting, calculating, post-processing, reporting and the like of a finite element model, so that the motor designer can concentrate on the motor design (namely searching a design variable set meeting performance requirements), and the design efficiency of the permanent magnet motor is greatly improved; in addition, by providing the scanning function of a plurality of design variables, a motor designer can research the influence of the simultaneous change of the plurality of design variables on the performance of the motor and search for a global optimal design, so that the design level of the permanent magnet motor is improved. The design method is suitable for the radial flux permanent magnet motor design with any number of phases, any pole slot matching, and various stator slot types and magnetic pole types.
Particularly, the complex and time-consuming modeling and setting process of the finite element of the permanent magnet motor is completely parameterized and automated, the modeling time is shortened from several hours to several seconds, the modeling speed and the efficiency of the permanent magnet motor design are greatly improved, and meanwhile, modeling errors caused by human errors are avoided; the winding arrangement algorithm adopted in the modeling step supports motors with any number of phases, double-layer windings with any pitch, concentrated windings and distributed windings, integer slot windings and fractional slot windings matched with any pole slot, so that the method is strong in universality and can cover the design requirements of most conventional and special permanent magnet motors; the preset rotor magnetic pole structures in the modeling step are more than ten, a new rotor magnetic pole structure can be supported through modular development, the expandability is strong, and the design requirement of a special magnetic pole structure can be met; the invention can automatically complete different types of standard tests by controlling the finite element model through software without manual intervention, thereby greatly improving the efficiency of motor performance analysis and avoiding calculation errors caused by human errors; according to the invention, various standard test results are automatically post-processed through software to generate a standard report, so that the efficiency of motor performance evaluation is improved; because the motor modeling, testing and performance evaluation all realize parameterization and automation, the method can be used for automatically scanning, evaluating and globally optimizing the massive motor design, so that a more optimized permanent magnet motor design can be obtained, and the performance level of the permanent magnet motor is improved.
Drawings
FIG. 1 is a general flow chart of the present invention
FIG. 2 is a hierarchical diagram of a motor design and performance report implemented by the present invention
Detailed Description
The technical solutions (including the preferred technical solutions) of the present invention are further described in detail by referring to fig. 1 to fig. 2 and some alternative embodiments of the present invention, and any technical features and any technical solutions in the present embodiment do not limit the protection scope of the present invention.
As shown in fig. 1, the parametric design method of the multiphase permanent magnet motor designed by the invention is characterized by comprising the following steps:
firstly, inputting or modifying design variables of a motor;
the design variables comprise setting variables, general design variables, design variables unique to different groove types and design variables unique to different rotor magnetic pole types; preferably, the input value of any one of the design variables may be a single value or an array, and represents a traversal value range of the motor design variable;
the setting variables comprise simulation setting parameters required by a simulation platform and working condition setting parameters designed by the motor: the simulation setting parameters comprise project names, design names, default finite element subdivision lengths and the like; the working condition setting parameters comprise mechanical angular speed of the rotor, phase current peak value, current angle, excitation type, current waveform type and the like; preferably, the excitation type is a voltage source or a current source or an external network;
the universal design variables refer to the common design variables of motors with different structures, and mainly comprise materials of all parts of the motor, winding parameters of the motor, geometric dimensions of stator slots, macroscopic geometric dimensions of the motor, geometric dimensions of rotor magnetic poles and a slot filling rate calculation module.
The materials of each part of the motor comprise a stator core material, a stator winding material, a rotor core material, a rotor permanent magnet material and the like; the winding parameters comprise the number of phases, the number of poles, the number of slots of each phase of each pole, the number of conductors of each slot and the like; the geometric dimensions of the stator slot comprise a stator slot profile, a stator open slot, a stator slot wedge width, a stator slot fullness rate and the like; the macroscopic geometric dimensions of the motor comprise the axial length of an iron core, the outer radius of a stator, the inner radius of the stator, the length of an air gap and the like; the geometric dimensions of the rotor magnetic poles comprise the types of the rotor magnetic poles, the thicknesses of the permanent magnets, the pole arc coefficients and the like;
the slot fullness calculation module is an auxiliary calculation module, calculates the actual slot fullness of the stator slot according to the insulation specification of the motor, partial winding parameters and partial stator slot geometric dimensions, and fills the actual slot fullness into the stator slot geometric dimensions;
when the structure of the motor is changed, only the corresponding structure type needs to be selected from the general design variables, and at the moment, only the unique design variable corresponding to the structure plays a role, so that the design requirements of permanent magnet motors with various different structures can be met;
motors of different configurations sometimes have unique design variables; for example: the semi-closed parallel slots in the unique design variables of different stator slot types have unique design variables such as stator slot body width, stator slot opening direction and the like; the oblique top flat bottom semi-closed slot in the unique design variables of different stator slot types has unique design variables such as stator slot bottom width and the like; similar unique stator slot types and unique design variables thereof are numerous, and are not described again; similarly, different rotor magnetic pole types also have unique design variables, for example, the unique design variables of the surface-mounted eccentric pole-cutting magnetic pole include the height of a pole-cutting convex part, the height of a permanent magnet positioning groove and the like, and the unique variables of the cosine pole-cutting of the embedded permanent magnet include the number of cosine pole-cutting curve segments, the width of radial structure ribs of the magnetic isolation barriers at two sides, the proportion of 3-order harmonics in the pole-cutting and the like; there are many possible magnetic pole forms with different meaning design variables, when the user selects the stator slot type and the rotor magnetic pole type, only the corresponding unique design variables will act;
inputting or modifying the virtual test configuration of the motor;
a) determining the type of the virtual test; b) configuring relevant parameters of the test according to the virtual test type determined in the a). The virtual test configuration firstly needs to select which tests are to be carried out, and only after the tests are selected, the subsequent test configuration can take effect, and the corresponding tests can be carried out;
generally, the virtual test types include single-working-condition test, current angle scanning, inductance matrix calculation, DQ differential inductance calculation, loss analysis, electromagnetic wave analysis, and the like;
specifically, the single working condition test mainly analyzes the basic performance of the motor design under a single working condition; the current angle scanning is mainly used for determining the relation between the motor torque and the current amplitude and the current angle and providing data for determining the optimal working current of the motor; inductance matrix calculation can determine self inductance of each phase of the motor and leakage inductance between any two phases; DQ differential inductance calculation can be used for calculating the incremental inductance of the d axis and the q axis of the motor under a series of specified working conditions, and reference is provided for the input of a motor controller; through loss analysis and test, the information of copper loss, iron loss, eddy current loss and the like of the motor can be solved, and input is provided for the cooling design of the motor; the electromagnetic force wave analysis can calculate the space-time electromagnetic force wave of the air gap of the motor and provide input for the vibration characteristic analysis of the motor;
the virtual test type configures the relevant parameters of the test such as: the single working condition test needs to specify information such as current amplitude, current angle, mechanical rotor rotation speed and the like; the current angle scanning needs to specify information such as a current amplitude value scanning range, a current angle scanning range, a rotor mechanical rotating speed and the like; the inductance matrix calculation needs to specify information such as a current amplitude sequence, a current angle sequence and the like; calculating DQ differential inductance to specify information such as a current amplitude sequence, a current angle sequence, a current disturbance amplitude and the like; the loss analysis needs to specify information such as current amplitude, current angle, rotor mechanical rotation speed and the like; the electromagnetic wave analysis needs to specify information such as current amplitude, current angle, rotor mechanical rotation speed and the like;
the names and implemented functions of the virtual tests are only preferred embodiments of the present invention, and are not intended to limit the present invention;
thirdly, generating a motor design list to be evaluated according to the design variables in the step one;
fourthly, finite element modeling and setting are carried out on the motors in the motor design list in the third step;
the finite element modeling process includes the steps of:
1) according to the design variable of the motor, the motor is in butt joint with a finite element kernel, and a blank model is created;
2) determining the matching of the pole slots of the motor and the symmetrical period of modeling through design variables;
3) drawing a stator core, a stator slot and a conductor in the slot;
4) splitting phases of conductors in the slot, determining the position of a winding axis by using a phase splitting result, and applying winding excitation;
5) drawing a rotor magnetic pole and applying permanent magnet excitation;
6) drawing a solution domain, and setting a boundary condition and a motion relation;
7) setting parameters of mesh generation and simulation time steps, and defining a field function for analyzing subsequent results;
preferably, the phase separation in step 4) comprises the steps of:
calculating the mechanical angle difference alpha between adjacent grooves on the machines，
Second, using the slot vector planetary diagram to calculate the electric angle difference alpha between adjacent phasorsph；
Thirdly, the electrical angle difference of adjacent grooves on the computer is further calculated
Calculating the number k of adjacent phasors skipped by mechanically adjacent slots in the main planet of the slot vector planetary diagram,
filling all phasors of the main planet in sequence according to the result in the step (iv) to obtain the mapping relation between the phasor number of the main planet and the mechanical serial number of the slot, namely, filling the mechanical serial numbers of the slot with the Q/t spoke positions in the main planet in sequence to obtain a mapping table from the phasor serial number to the slot serial number, wherein the X axis is the sequential serial number of the adjacent phasors, and the Y axis is the mechanical serial number of the stator slot; filling all phasors of the slave planet in sequence according to the result in the step (IV) to obtain the mapping relation between the phasor number of the slave planet and the mechanical serial number of the slot;
sixth judgement
Whether the number is an integer or not, calculating the motorNumber of phase bands and number of slots per phase:
seventhly, finding out the slot numbers of the upper layer edges of the phase belts of the phase 1 according to the obtained corresponding relation between the slot numbers and the phasor numbers, and setting an excitation source reference direction for the upper layer edges of the phase belts; after the upper layer edge of each phase band is set, finding out the corresponding lower layer edge, and setting the reference direction of the excitation source;
when in use
Is an integer, by<phasorToSlotMapping>Finding out phase 1
Slot number of phase band and phase 1
The slot number of the phase belt; only half unit motor is needed to be built during modeling
The reference direction of the upper layer edge current of the phase belt is positive, and then
The current reference direction of the phase band is negative; after the upper layer side is arranged, counting slots with 'pitch' from the 1 st phase upper layer side, filling the lower layer side of the corresponding coil,the current reference direction of the lower layer side is opposite to the current reference direction of the upper layer side corresponding to the lower layer side;
when in use
Is not an integer, by<phasorToSlotMapping>Finding out phase 1
The slot number of the phase belt; the whole unit motor needs to be built during modeling,
the current reference directions of the upper layer side of the phase belt are positive; after the upper layer side is arranged, counting 'pitch' slots from the 1 st phase upper layer side, filling the lower layer side of the corresponding coil, wherein the current reference direction of the lower layer side is opposite to the current reference direction of the corresponding upper layer side;
after finishing the setting of the phase 1, repeating the step (c) until the phase is set;
wherein Q is the total slot number of the motor; p is the number of pole pairs of the motor; m is the number of motor phases; t, the periodicity of the motor is the greatest common divisor of the total slot number Q and the pole pair number p of the motor;
fifthly, carrying out virtual test on the finite element by using the finite element model in the fourth step according to the parameters in the second step;
sixthly, post-processing the result in the step five;
seventhly, repeating the fourth step to the sixth step until all the parameters in the motor design list in the third step are evaluated;
and eighthly) generating reports of motor design and performance.
The report forms comprise a classification test result report form of a single motor design, a comprehensive performance report form of the single motor design and a performance comparison report form of mass motor designs scanned by multiple design variables;
the report forms are divided into 3 layers: the bottom layer is a virtual test result report, and the type-I motor design may have one or more sub-item virtual test result reports. The middle layer is a comprehensive performance report designed by a single motor and is formed by summarizing key motor performance, external characteristic results and the like in a subentry virtual test report. The top layer is a multi-motor design performance index comparison report which is formed by summarizing key performance indexes of all single motor performance reports in a design space.
It will be understood by those skilled in the art that the foregoing is only a preferred embodiment of the present invention, and is not intended to limit the invention, and any modification, combination, replacement, or improvement made within the spirit and principle of the present invention is included in the scope of the present invention.
Claims (9)
1. A parametric design method of a multiphase permanent magnet motor is characterized by comprising the following steps:
firstly, inputting or modifying design variables of a motor;
inputting or modifying the virtual test configuration of the motor;
thirdly, generating a motor design list to be evaluated according to the design variables in the step one;
fourthly, finite element modeling and setting are carried out on the motors in the motor design list in the third step;
fifthly, carrying out virtual test on the finite element by using the finite element model in the fourth step according to the parameters in the second step;
sixthly, post-processing the result in the step five;
seventhly, repeating the fourth step to the sixth step until all the parameters in the motor design list in the third step are evaluated;
eighthly, generating a report of motor design and performance; the report forms comprise a classification test result report form of a single motor design, a comprehensive performance report form of the single motor design and a performance comparison report form of mass motor designs scanned by multiple design variables.
2. The parametric design method of a multiphase permanent magnet motor according to claim 1, wherein: the design variables in the first step include setting variables, general design variables, design variables unique to different groove types, and design variables unique to different rotor magnetic pole types.
3. The parametric design method of a multiphase permanent magnet motor according to claim 2, wherein: the input value of any one of the design variables can be a single value or an array, and represents the traversal value range of the motor design variable.
4. The parametric design method of a multiphase permanent magnet motor according to claim 2, wherein: the setting variables comprise simulation setting parameters required by a simulation platform and working condition setting parameters designed by the motor.
5. The parametric design method of a multiphase permanent magnet motor according to claim 2, wherein: the universal design variables refer to the common design variables of the motors with different structures, and comprise materials of all parts of the motors, winding parameters of the motors, geometric dimensions of stator slots, macroscopic geometric dimensions of the motors, geometric dimensions of rotor magnetic poles and a slot filling rate calculation module; unique design variables refer to unique design variables that are possessed by different stator slot types and rotor pole types, which are used to further define and describe specific stator slot sizes and rotor pole sizes.
6. The parametric design method of a multiphase permanent magnet motor according to claim 5, wherein: the slot full rate calculation module is an auxiliary calculation module, and calculates the actual slot full rate of the stator slot according to the insulation specification, partial winding parameters and partial stator slot geometric dimensions of the motor, and fills the actual slot full rate back into the stator slot geometric dimensions.
7. The parametric design method of a multiphase permanent magnet motor according to claim 1, wherein: the second step comprises the following steps: a) determining the type of the virtual test; b) configuring relevant parameters of the test according to the virtual test type determined in the a).
8. The parametric design method of a multiphase permanent magnet motor according to claim 1, wherein: the finite element modeling process in step four comprises the following steps:
1) according to the design variable of the motor, the motor is in butt joint with a finite element kernel, and a blank model is created;
2) determining the matching of the pole slots of the motor and the symmetrical period of modeling through design variables;
3) drawing a stator core, a stator slot and a conductor in the slot;
4) splitting phases of conductors in the slot, determining the position of a winding axis by using a phase splitting result, and applying winding excitation;
5) drawing a rotor magnetic pole and applying permanent magnet excitation;
6) drawing a solution domain, and setting a boundary condition and a motion relation;
7) and setting parameters of mesh generation and simulation time steps, and defining a field function for analyzing subsequent results.
9. The parametric design method of a multiphase permanent magnet motor according to claim 8, wherein: the phase separation in the step 4) comprises the following steps:
calculating the mechanical angle difference alpha between adjacent grooves on the machines，
Second, using the slot vector planetary diagram to calculate the electric angle difference alpha between adjacent phasorsph；
Thirdly, the electrical angle difference of adjacent grooves on the computer is further calculated
Calculating the number k of adjacent phasors skipped by mechanically adjacent slots in the main planet of the slot vector planetary diagram,
fifthly, filling all the phasors of the main planet in sequence according to the result in the step (iv) to obtain the mapping relation between the phasor number of the main planet and the mechanical serial number of the slot, and filling all the phasors of the secondary planet in sequence according to the result in the step (iv) to obtain the mapping relation between the phasor number of the secondary planet and the mechanical serial number of the slot;
sixth judgement
Whether the number is an integer, calculating the number of phase bands and the number of slots of each phase of the motor:
seventhly, finding out the slot numbers of the upper layer edges of the phase belts of the phase 1 according to the obtained corresponding relation between the slot numbers and the phasor numbers, and setting an excitation source reference direction for the upper layer edges of the phase belts; after the upper layer edge of each phase band is set, finding out the corresponding lower layer edge, and setting the reference direction of the excitation source;
after finishing the setting of the 1 st phase, repeating the step (c) until all the phases are set;
wherein Q is the total slot number of the motor; p is the number of pole pairs of the motor; m is the number of motor phases; t the number of cycles of the motor, which is the greatest common divisor of the total number of slots Q of the motor and the number p of pole pairs of the motor.
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| CN103236769A (en) * | 2013-04-24 | 2013-08-07 | 江苏大学 | Method for optimizing key parameters of bearingless permanent magnet motor |
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