CN109164759A - Curve interpolating method, equipment and computer readable storage medium - Google Patents

Curve interpolating method, equipment and computer readable storage medium Download PDF

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CN109164759A
CN109164759A CN201810866164.0A CN201810866164A CN109164759A CN 109164759 A CN109164759 A CN 109164759A CN 201810866164 A CN201810866164 A CN 201810866164A CN 109164759 A CN109164759 A CN 109164759A
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interpolation
arc length
processed
value
geometric locus
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CN109164759B (en
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刘焕
柏子平
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Shenzhen Inovance Technology Co Ltd
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Shenzhen Inovance Technology Co Ltd
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/18Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
    • G05B19/41Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by interpolation, e.g. the computation of intermediate points between programmed end points to define the path to be followed and the rate of travel along that path

Abstract

The present invention provides a kind of curve interpolating method, equipment and computer readable storage mediums, the curve interpolating method, it include: according to starting point, terminal and the N-1 sample point creation guidance array between the beginning and end on geometric locus to be processed, N+1 value in the guidance array respectively corresponds the starting point to starting point, starting point to each sample point, the arc length of starting point to the end, and wherein N is integer;Speed planning is carried out to the geometric locus to be processed, obtains the arc length function of time of the arc length of each point on the geometric locus to be processed about time t;Successively according to guidance array, the arc length function of time, the interpolation parameters of previous interpolation cycle and the corresponding arc length, the interpolation parameters of latter interpolation cycle are calculated.The present invention can carry out interpolation to arbitrary parameter curve with arc length, keep feed speed planning path distance consistent with practical interpolation path distance, can make each axis movement more steady accurate in practical applications.

Description

Curve interpolating method, equipment and computer readable storage medium
Technical field
The present invention relates to automation fields, can more specifically to a kind of curve interpolating method, equipment and computer Read storage medium.
Background technique
Parametric curve interpolation technique is used by more and more commercial digital control systems or robot control system, these Even if system does not provide the personal code work of parametric curve interpolation directly, also rail can be carried out using parametric curve in internal system Mark is smooth, therefore is directed to the Interpolation Process of parametric curve.
Precision is followed in order to improve the track of system, speed is carried out using the preceding plus-minus short-cut counting method generally before locus interpolation Planning obtains rate curve, then obtains the interpolation distance in a cycle in each interpolation cycle and carries out locus interpolation.At present Existing general parameter curve interpolating method includes Taylor expansion, feedback interpolation and polynomial fitting method.Taylor expansion Method calculates new interpolation parameters by building feed speed, parameter of curve and the relationship of time, wherein applying at most is one Rank and the second Taylor series method;Feedback interpolation ensures the distance between adjacent interpolated point and planning distance one by iterative calculation It causes;Polynomial fitting method realizes height by pre-generating a large amount of piecewise polynomial functions between parameter of curve and interpolation distance Accuracy computation.
At present in parametric curve interpolation, the accuracy of interpolating method, i.e. phase are usually judged using velocity perturbation as standard Deviation between the distance between neighbor interpolation point and planning distance accounts for the percentage of planning distance.Therefore above-mentioned interpolating method all with This standard carries out interpolation algorithm design, makes every effort to minimum velocity perturbation.
However, using the arc length of geometric locus as path distance when due to carrying out feed speed planning, and with low velocity Fluctuation is that the existing interpolating method of target is actually to carry out interpolation with chord length, this results in feed speed planning distance and reality (arc length distance is greater than chord length distance) inconsistent between distance, hangover can be caused existing to ensure that current path interpolation finishes As velocity jump can be caused if directly carrying out next section of locus interpolation if ignoring the deviation.
Summary of the invention
The technical problem to be solved in the present invention is that cannot be considered in terms of hangover and speed for above-mentioned parameter curve interpolating scheme The problem of degree mutation, provide a kind of curve interpolating method, equipment and computer readable storage medium.
The technical solution that the present invention solves above-mentioned technical problem is to provide a kind of curve interpolating method, comprising:
According to starting point, terminal and the N-1 sampling between the beginning and end on geometric locus to be processed Point creation guidance array, the N+1 value guided in array respectively correspond the starting point and take to starting point, the starting point to each The arc length of sampling point, the starting point to the end, wherein N is integer;
Speed planning is carried out to the geometric locus to be processed, the arc length for obtaining each point on the geometric locus to be processed is closed In the arc length function of time of time t;
Successively according to the guidance array, the arc length function of time, the interpolation parameters of previous interpolation cycle and corresponding Arc length calculates the interpolation parameters of latter interpolation cycle.
In curve interpolating method of the present invention, in the geometric locus to be processed, the starting point, N-1 sampling The parameter of geometric locus to be processed corresponding to point and terminal constitutes arithmetic progression.
In curve interpolating method of the present invention, it is described according to the guidance array, it is the arc length function of time, preceding The interpolation parameters of one interpolation cycle and corresponding arc length, the interpolation parameters for calculating latter interpolation cycle include:
(a) according to the interpolation parameters of previous interpolation cycle, corresponding first arc length of previous interpolation cycle, latter interpolation cycle Value in corresponding second arc length and the guidance array, obtains interpolation a reference value and arc length increment;
(b) the interpolation parameters discreet value of latter interpolation cycle is calculated according to the interpolation a reference value, and is calculated described wait locate Manage the absolute value of the interpolation a reference value on geometric locus to the arc length between the interpolation parameters discreet value of latter interpolation cycle;
(c) according in the interpolation parameters discreet value of the latter interpolation cycle and the geometric locus to be processed Interpolation a reference value to the arc length between the interpolation parameters discreet value of latter interpolation cycle constructs multinomial;
(d) interpolation parameters in latter period are determined according to the arc length increment and the multinomial.
In curve interpolating method of the present invention, corresponding first arc length of the previous interpolation cycle is inserted according to previous It mends corresponding time in period and the arc length function of time is calculated and obtained, corresponding second arc length of the latter interpolation cycle is according to latter Interpolation cycle corresponding time and the arc length function of time, which calculate, to be obtained;
The guidance array includes multiple numerical intervals, and each numerical intervals are made of two adjacent values, described In step (a): described if the value of first arc length and the second arc length is located in the same numerical intervals of the guidance array Interpolation a reference value is the interpolation parameters of the previous interpolation cycle, and the arc length increment is the difference of the second arc length and the first arc length; Otherwise, the interpolation a reference value is the parameter of value L [m] corresponding geometric locus to be processed, and the arc length increment is described second The difference of arc length and value L [m], wherein described value L [m] is the starting point of the numerical intervals of the guidance array where the second arc length, and 0≤ m≤N。
In curve interpolating method of the present invention, the step (b) includes:
(b1) 1 to the k rank for calculating the geometric locus to be processed at interpolation a reference value leads arrow, and the k is whole greater than zero Number;
(b2) the interpolation parameters discreet value of latter interpolation cycle is calculated using k rank Taylor expansion;
(b3) it calculates 1 to k rank of the geometric locus to be processed at discreet value and leads arrow, and institute is calculated using numerical integration method It is absolute to the arc length between the interpolation parameters discreet value of latter interpolation cycle to state interpolation a reference value on geometric locus to be processed Value.
In curve interpolating method of the present invention, in the step (b2):
When the k is 1, the interpolation parameters discreet value u of the latter interpolation cyclepIt is obtained by the calculating of following calculating formula :" | | | | " indicate the long calculating of vector field homoemorphism, ubFor interpolation a reference value, △ sbFor arc length increasing Amount, C ' (ub) it is that single order of the geometric locus to be processed at interpolation a reference value leads arrow;
When the k is 2, the interpolation parameters discreet value u of the latter interpolation cyclepIt is obtained by the calculating of following calculating formula :"<>" indicates that the scalar product of vector calculates, C " (ub) be to It handles second order of the geometric locus at interpolation a reference value and leads arrow;
When the k is 3, the interpolation parameters discreet value u of the latter interpolation cyclepIt is obtained by the calculating of following calculating formula :
C″′(ub) it is that three ranks of the geometric locus to be processed at interpolation a reference value lead arrow.
Multinomial in curve interpolating method of the present invention, in the step (c) are as follows: And the multinomial meets:
WhereinJth order derivative of the parameter u about arc length parameters s for indicating geometric locus C (u) to be processed, works as j= It is calculated when 1,2,3 are as follows:
C ' (u) is that single order of the geometric locus C (u) to be processed at parameter u leads arrow, C, and " (u) is geometric locus C to be processed (u) second order at parameter u leads arrow and C " ' (u) is that three ranks of the geometric locus C (u) to be processed at parameter u lead arrow;
aiFor multinomial coefficient, and in k=1:
In k=2:
In k=3:
In curve interpolating method of the present invention, numerical integration is respectively adopted in N+1 value in the guidance array Algorithm, which calculates, to be obtained.
The present invention also provides a kind of curve interpolating equipment, including memory and processor, being stored in the memory can The computer program run on the processor, which is characterized in that the processor is realized when executing the computer program The step of method as described above.
The present invention also provides a kind of computer readable storage medium, computer program, institute are stored on the storage medium When stating computer program and being executed by processor, the step of realizing method as described above.
Curve interpolating method, equipment and computer readable storage medium of the invention can be with by carrying out interpolation with arc length Interpolation is carried out with arc length to arbitrary parameter curve, keeps feed speed planning path distance consistent with practical interpolation path distance, So as to avoid existing using low velocity fluctuation as hangover or velocity jump problem existing for the interpolating method of target, in practical application In keep the movement of each axis more steady accurate.
The present invention also has many advantages, such as that space efficiency is high, computational accuracy is high, computational efficiency is high.
Detailed description of the invention
Fig. 1 is the flow diagram of curve interpolating method embodiment of the present invention;
Fig. 2 is the flow diagram that the interpolation parameters of latter interpolation cycle are obtained in curve interpolating method of the present invention;
Fig. 3 is the schematic diagram of 5 bezier curves to be processed;
Fig. 4 is showing corresponding to the arc length function of time of the geometric locus to be processed of Fig. 3 in curve interpolating method of the present invention It is intended to;
Fig. 5 is to rule when using curve interpolating method of the present invention to geometric locus interpolation to be processed shown in Fig. 3 shown in Fig. 3 Deviation schematic diagram between long and interpolation arc length of making an arc;
Fig. 6 is the schematic diagram of curve interpolating apparatus embodiments of the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and It is not used in the restriction present invention.
As shown in Figure 1, being the schematic diagram of curve interpolating method embodiment of the present invention, this method can be to arbitrary parameter curve Interpolation is carried out, and eliminates the deviation between feed speed planning path distance and Actual path distance.Method in the present embodiment It specifically includes:
S1: according to geometric locus C (u) to be processed (u ∈ [us,ue]) on starting point, terminal and be located at beginning and end it Between the creation of N-1 sample point include N+1 value guidance array L, in above-mentioned guidance array L, the 1st value L [1] is wait locate The starting point of geometric locus C (u) is managed to the arc length (i.e. 0) of starting point, a value L [i+1] of i+1 (i=1,2 ..., N-1) is to be processed For the starting point of geometric locus C (u) to the arc length of i-th of sample point, the last one value L [N+1] is geometric locus C (u) to be processed The arc length of starting point to the end, wherein N is integer.Above-mentioned N can be arranged according to arc length, control accuracy requirement of C (u) etc..
In above-mentioned geometric locus C (u) to be processed, u is parameter, i.e. independent variable, usFor the corresponding parameter of starting point, ueFor terminal Corresponding parameter.To reduce computation complexity, track to be processed corresponding to above-mentioned starting point, N-1 sample point and terminal is bent The parameter of line C (u) constitutes arithmetic progression.
Specifically, N+1 arc length in above-mentioned guidance array is respectively adopted numerical integration algorithm and calculates acquisition.Certainly, on Stating arc length can also be used other modes calculating acquisition.
Such as when geometric locus to be processed is that 5 bezier curve C (u) shown in Fig. 3 (u ∈ [0,1]) (Betsy that is bent The control vertex sequence of line are as follows: (6.1731656763491,0,0), and (10,0,0), (10,0,0), (10, 1.54287027426666,0),(10.6001836626339,2.6712514744994,0),(11.4644660940673, 3.53553390593274,0)), can use N=4, and create guidance array L=0,2.9426958,4.2247336, 5.63402696 7.1577073 }.
Step S2: carrying out speed planning to geometric locus C (u) to be processed, obtains each on the geometric locus C (u) to be processed Arc length function of time s (t) (t > 0) of the arc length of point about time t.
In this step, trapezoidal or S type or other rate curve planing methods specifically can be used to geometric locus C to be processed (u) speed planning is carried out.For 5 bezier curve C (u) shown in Fig. 3 (u ∈ [0,1]), arc length function of time s (t) is such as Shown in Fig. 4.
Step S3: successively according to guidance array L, arc length function of time s (t), the interpolation parameters of previous interpolation cycle and right The arc length answered calculates the interpolation parameters of latter interpolation cycle.In this step, the starting point of geometric locus C (u) to be processed can be made For first interpolated point, and subsequent interpolated point is successively obtained, until the interpolated point of acquisition reaches geometric locus C (u) to be processed Terminal or terminal outside.
As shown in Fig. 2, being the process signal for obtaining the interpolation parameters of latter interpolation cycle in curve interpolating method of the present invention Figure, this method specifically includes the following steps:
Step S31: according to the interpolation parameters of previous interpolation cycle, corresponding first arc length of previous interpolation cycle, it is latter insert The value (arc length) in period corresponding second arc length and guidance array is mended, interpolation a reference value u is obtainedbWith arc length increment Delta sb
Specifically, above-mentioned first arc length specifically can (time can be according to interpolation according to the previous interpolation cycle corresponding time Period calculates) and step S2 in the arc length function of time s (t) that obtains calculate and obtain, the second arc length then can be according to latter interpolation week Phase corresponding time and arc length function of time s (t), which are calculated, to be obtained.
Guiding array includes multiple numerical intervals, and each numerical intervals are made of two adjacent values, in this step, If the value of the first arc length and the second arc length is located in the same numerical intervals of guidance array, interpolation a reference value is previous interpolation week The interpolation parameters of phase, arc length increment Delta sbFor the difference of the second arc length and the first arc length;Otherwise, interpolation a reference value ubIt is right for value L [m] The parameter for the geometric locus to be processed answered, arc length increment Delta sbFor the second arc length and value L [m] difference (value of the second arc length between It guides between the value L [m] and value L [m+1] in array).Above-mentioned value L [m] is m-th of the value guided in array, and L [m+1] is to draw The m+1 value in derivative group, and 0≤m≤N.
Specifically, it is assumed that the corresponding first arc length s of previous cycle (i-th of interpolation cycle)i=s (iTs) (wherein TsIt is slotting Mend the period) it is located between n-th of value of guidance array L and (n+1)th value (0≤n≤N), i.e. L [n]≤si<L[n+1];It is latter Period (i+1 interpolation cycle) corresponding second arc length si+1=s ((i+1) Ts) it is located at m-th of the value and m of guidance array L Between+1 value (0≤m≤N), i.e. L [m]≤si+1<L[m+1].If n=m, the first arc length siWith the second arc length si+1Positioned at drawing The same section of derivative group L enables interpolation a reference value ub=ui(wherein uiFor the interpolation parameters of previous interpolation cycle), the latter period Arc length increment between the corresponding interpolation a reference value of interpolation parameters is then Δ sb=si+1-si;Otherwise ub=us+m(ue-us)/N, then Δsb=si+1- L [m], i.e. interpolation a reference value ubValue be the second arc length si+1The starting point L of the numerical intervals of the guidance array at place [m], arc length increment are the second arc length si+1And the difference of above-mentioned starting point L [m].
Step S32: the interpolation parameters discreet value u of latter interpolation cycle is calculated according to interpolation a reference valuep, and calculate to be processed Interpolation a reference value on geometric locus to the arc length between the interpolation parameters discreet value of latter interpolation cycle absolute value | Δ sp|, Wherein arc length Δ spWith arc length increment Delta sbJack per line (i.e. with just or with negative).
In this step, 1 to the k rank that need to first calculate geometric locus to be processed at interpolation a reference value leads arrow, above-mentioned k be greater than Zero integer;Then the interpolation parameters discreet value of latter interpolation cycle is calculated using k rank Taylor expansion;Using numerical integration side Method calculates the interpolation a reference value on geometric locus to be processed to the arc length between the interpolation parameters discreet value of latter interpolation cycle Absolute value | Δ sp|。
The value of above-mentioned k can be set as needed, and k value is bigger, and the precision for generally approaching arc length is higher, but calculation amount is bigger, Usually when the curvature of curve C (u) to be processed is smaller, k can use smaller value, and when the curvature of curve C (u) to be processed is larger, k is desirable The larger value.
K generally takes 1,2 or 3, when k is 1, the interpolation parameters discreet value u of latter interpolation cyclepPass through following calculating formula meter It calculates and obtains:
" | | | | " indicate the long calculating of vector field homoemorphism, ubFor interpolation a reference value, △ sbFor arc length increment, C ' (ub) it is to be processed Geometric locus C (u) is in interpolation a reference value ubThe single order at place leads arrow;
When k is 2, the interpolation parameters discreet value u of latter interpolation cyclepIt is calculated and is obtained by following calculating formula:
"<>" indicates that the scalar product of vector calculates, C " (ub) it is geometric locus C (u) to be processed in interpolation a reference value ubPlace Second order leads arrow;
When k is 3, the interpolation parameters discreet value u of latter interpolation cyclepIt is calculated and is obtained by following calculating formula:
C″′(ub) it is geometric locus C (u) to be processed in interpolation a reference value ubThree ranks at place lead arrow.
Interpolation a reference value u on geometric locus C (u) to be processedbTo the interpolation parameters discreet value u of latter interpolation cyclepArc length Absolute value | Δ sp| numerical integration method can be used and calculate acquisition.
Step S33: geometric locus C (u) to be processed is calculated in discreet value up1 to the k rank at place leads arrow, and according to latter interpolation The interpolation parameters discreet value u in periodpAnd arc length Δ spConstruct multinomial
And above-mentioned multinomial (4) meets:
WhereinJth order derivative of the parameter u about arc length parameters s for indicating geometric locus C (u) to be processed, works as j= It is calculated when 1,2,3 are as follows:
C ' (u) is that single order of the geometric locus C (u) to be processed at parameter u leads arrow, C, and " (u) is geometric locus C to be processed (u) second order at parameter u leads arrow and C " ' (u) is that three ranks of the geometric locus C (u) to be processed at parameter u lead arrow;
In multinomial (4), aiFor multinomial coefficient, and in k=1:
In k=2:
In k=3:
Step S34: the arc length increment Delta s that will be obtained in step S3bSubstituting into multinomial (4) can be obtained inserting for latter period Mend parameter ui+1=f (Δ sb)。
As shown in figure 5, being the method for the present invention arc length that theory is planned in Interpolation Process (i.e. according to arc length function of time s (t) arc length calculated) and practical interpolation arc length between aberration curve.From the figure, it can be seen that deviation maximum value is -2nm Left and right, it is very small, it is basic in practical applications to can consider that theoretical planning arc length is equal with practical interpolation arc length, therefore the present invention Can carry out interpolation when method interpolation 5 bezier curves shown in Fig. 3 with arc length, eliminate feed speed planning path distance with Deviation between Actual path distance, ensure that the steady and accurate of motion process.
It will appreciated by the skilled person that whole or certain steps in above-mentioned the present embodiment disclosed method, It may be implemented as software, firmware, hardware and its combination appropriate.
As shown in fig. 6, the present invention also provides a kind of curve interpolating equipment, which can be applied to numerically-controlled machine tool or machine People, and the equipment includes memory 61 and processor 62, and the meter that can be run on the processor 62 is stored in memory 61 The step of calculation machine program, processor 62 realizes method as described above when executing computer program.Parameter interpolation in the present embodiment Curve interpolating method in equipment and above-mentioned Fig. 2,3 corresponding embodiments belongs to same design, and specific implementation process is shown in pair in detail The embodiment of the method answered, and the technical characteristic in embodiment of the method is corresponding applicable in this apparatus embodiments, it is no longer superfluous here It states.
The present invention also provides a kind of computer readable storage medium, computer program, the meter are stored on storage medium When calculation machine program is executed by processor, the step of realizing method as described above.In above-mentioned storage medium and Fig. 2,3 corresponding embodiments Curve interpolating method belong to same design, specific implementation process is shown in corresponding embodiment of the method, and embodiment of the method in detail In technical characteristic it is corresponding in the present embodiment be applicable in, which is not described herein again.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto, In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of by anyone skilled in the art, It should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with scope of protection of the claims Subject to.

Claims (10)

1. a kind of curve interpolating method characterized by comprising
According to starting point, terminal and the N-1 sample point wound between the beginning and end on geometric locus to be processed Guidance array is built, N+1 value in the guidance array respectively corresponds the starting point to starting point, the starting point to each sampling The arc length of point, the starting point to the end, wherein N is integer;
Speed planning is carried out to the geometric locus to be processed, obtain the arc length of each point on the geometric locus to be processed about when Between t the arc length function of time;
Successively according to guidance array, the arc length function of time, the interpolation parameters of previous interpolation cycle and the corresponding arc length, Calculate the interpolation parameters of latter interpolation cycle.
2. curve interpolating method according to claim 1, which is characterized in that in the geometric locus to be processed, described The parameter of geometric locus to be processed corresponding to point, N-1 sample point and terminal constitutes arithmetic progression.
3. curve interpolating method according to claim 2, which is characterized in that described according to the guidance array, the arc Long-time function, the interpolation parameters of previous interpolation cycle and corresponding arc length, the interpolation parameters for calculating latter interpolation cycle include:
(a) corresponding according to the interpolation parameters of previous interpolation cycle, corresponding first arc length of previous interpolation cycle, latter interpolation cycle The second arc length and the guidance array in value, obtain interpolation a reference value and arc length increment;
(b) the interpolation parameters discreet value of latter interpolation cycle is calculated according to the interpolation a reference value, and calculates the rail to be processed The interpolation a reference value on trace curve to the arc length between the interpolation parameters discreet value of latter interpolation cycle absolute value;
(c) according to described slotting in the interpolation parameters discreet value of the latter interpolation cycle and the geometric locus to be processed It mends a reference value to the arc length between the interpolation parameters discreet value of latter interpolation cycle and constructs multinomial;
(d) interpolation parameters in latter period are determined according to the arc length increment and the multinomial.
4. curve interpolating method according to claim 3, which is characterized in that corresponding first arc of the previous interpolation cycle Long calculated according to previous interpolation cycle corresponding time and the arc length function of time obtains, the latter interpolation cycle corresponding second Arc length is calculated according to latter interpolation cycle corresponding time and the arc length function of time and is obtained;
The guidance array includes multiple numerical intervals, and each numerical intervals are made of two adjacent values, in the step (a) in: if the value of first arc length and the second arc length is located in the same numerical intervals of the guidance array, the interpolation A reference value is the interpolation parameters of the previous interpolation cycle, and the arc length increment is the difference of the second arc length and the first arc length;Otherwise, The interpolation a reference value be value L [m] corresponding geometric locus to be processed parameter, the arc length increment be second arc length and The difference of value L [m], the wherein starting point of the numerical intervals of guidance array of the described value L [m] where the second arc length, and 0≤m≤N.
5. curve interpolating method according to claim 3, which is characterized in that the step (b) includes:
(b1) 1 to the k rank for calculating the geometric locus to be processed at interpolation a reference value leads arrow, and the k is the integer greater than zero;
(b2) the interpolation parameters discreet value of latter interpolation cycle is calculated using k rank Taylor expansion;
(b3) calculate 1 to the k rank of geometric locus to be processed at discreet value and lead arrow, and using numerical integration method calculate described in Handle the absolute value of the interpolation a reference value on geometric locus to the arc length between the interpolation parameters discreet value of latter interpolation cycle.
6. curve interpolating method according to claim 5, which is characterized in that in the step (b2):
When the k is 1, the interpolation parameters discreet value u of the latter interpolation cyclepIt is calculated and is obtained by following calculating formula:" | | | | " indicate the long calculating of vector field homoemorphism, ubFor interpolation a reference value, △ sbFor arc length increment, C′(ub) it is that single order of the geometric locus to be processed at interpolation a reference value leads arrow;
When the k is 2, the interpolation parameters discreet value u of the latter interpolation cyclepIt is calculated and is obtained by following calculating formula:"<>" indicates that the scalar product of vector calculates, C " (ub) it is wait locate It manages second order of the geometric locus at interpolation a reference value and leads arrow;
When the k is 3, the interpolation parameters discreet value u of the latter interpolation cyclepIt is calculated and is obtained by following calculating formula:
C″′(ub) it is that three ranks of the geometric locus to be processed at interpolation a reference value lead arrow.
7. curve interpolating method according to claim 5, which is characterized in that the multinomial in the step (c) are as follows:And the multinomial meets:
WhereinJth order derivative of the parameter u about arc length parameters s for indicating geometric locus C (u) to be processed, works as j=1, and 2,3 When calculate are as follows:
C ' (u) is that single order of the geometric locus C (u) to be processed at parameter u leads arrow, C, and " (u) is that geometric locus C (u) to be processed exists Second order at parameter u leads arrow and C " ' (u) is that three ranks of the geometric locus C (u) to be processed at parameter u lead arrow;
aiFor multinomial coefficient, and in k=1:
In k=2:
In k=3:
8. curve interpolating method according to claim 1, which is characterized in that the N+1 value difference in the guidance array It is calculated and is obtained using numerical integration algorithm.
9. a kind of curve interpolating equipment, including memory and processor, which is characterized in that being stored in the memory can be in institute State the computer program run on processor, which is characterized in that the processor is realized when executing the computer program as weighed Benefit requires the step of any one of 1 to 8 the method.
10. a kind of computer readable storage medium, computer program is stored on the storage medium, which is characterized in that described When computer program is executed by processor, realize such as the step of any one of claims 1 to 8 the method.
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CN113534743A (en) * 2021-06-23 2021-10-22 广东安达智能装备股份有限公司 Continuous motion track control and optimization method of glue dispenser by combining space curve interpolation algorithm
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