CN101206471A - Built-in optimization method and device for numerical control system - Google Patents
Built-in optimization method and device for numerical control system Download PDFInfo
- Publication number
- CN101206471A CN101206471A CNA2007103036772A CN200710303677A CN101206471A CN 101206471 A CN101206471 A CN 101206471A CN A2007103036772 A CNA2007103036772 A CN A2007103036772A CN 200710303677 A CN200710303677 A CN 200710303677A CN 101206471 A CN101206471 A CN 101206471A
- Authority
- CN
- China
- Prior art keywords
- control system
- feed rate
- digital control
- request
- built
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Numerical Control (AREA)
Abstract
The invention provides an embedded optimization method and an embedded optimization device which are used for a numerical control system. The method of the invention comprises the following steps: real-time acquisition of a report from the numerical control system is performed through an internal interface of the numerical control system, and the report reflects current spindle operating power of the numerical control system; if the spindle service rating is lower than predetermined load rate, a request is made to improve feed rate; if the spindle service rating is higher than the predetermined load rate, a request is made to reduce the feed rate; moreover, the feed rate of the numerical control system is regulated and controlled according to the requests. The invention improves processing efficiency of the numerical control system and processing safety.
Description
Technical field
The present invention relates to the digital control processing field, in particular to a kind of built-in optimization method and device that is used for digital control system.
Background technology
The production efficiency of various numerical control devices is the important value index that manufacturing industry is concerned about always, and the working (machining) efficiency that how to improve numerical control device becomes more and more important.
Usually, digital control system all can have a nominal operation power, and the digital control processing programming for digital control system should guarantee numerically-controlled machine in the whole process of cut, and any moment, the situation of overload operation should not take place.
In cutting process, because the influence of many-sided factors such as the workpiece processing surplus is inconsistent, the workpiece material is inhomogeneous, cutter constantly weares and teares, cutting force random variation and extraneous processing interference makes machining condition constantly change.Yet in existing digital control system, although processing conditions has a lot of variations, the feed rate of setting remains unchanged.In order to guarantee the safe operation of numerically-controlled machine, make the operate power peak value of its feed rate under the most abominable processing conditions be no more than rated power, the minimum speed limit that obtains thus is set at the constant feed rate of system.
That is, numerically-controlled machine whenever run on foot cutter all the constant speed of feed compiled and edited of follow procedure carry out.So for example its cutter is when the softer material of workhardness, operate power is lower; When the harder material of workhardness, owing to keep speed of feed constant, cause the operate power can be higher.Therefore, in whole process, its operate power is to change violent powertrace, and the feed rate of system is according to guaranteeing that operate power is no more than the minimum safe speed operation of rated power all the time.This can reduce the working (machining) efficiency of digital control system.
Fig. 1 shows the curve map of the digital control system machining load of prior art, and wherein transverse axis is a time shaft, and the longitudinal axis is a load axis.The rated power of this digital control system is 30kw, and its whole process comprises that t0 is to te totally 8 operations.In each operation, processing conditions can have greatly changed, but because its feed rate keeps certain, so the power of each operation can have greatly changed, concrete power is as follows:
| Operation | t0 | T1 | T2 | T3 | T4 | T5 | T6 | Te |
| Power | 3 | 10 | 28 | 2 | 17 | 10 | 25 | 10 |
Therefore, the working (machining) efficiency of above-mentioned process is:
Efficient=((3+10+28+2+17+10+25+10)/10)/30=35%
The working (machining) efficiency of this conventional digital control system is 35% only, obviously has much room for improvement.
Summary of the invention
The invention provides a kind of built-in optimization method and device that is used for digital control system, to solve the existing lower problem of digital control system working (machining) efficiency.
In an embodiment of the present invention, provide a kind of built-in optimization method that is used for digital control system, may further comprise the steps: the internal interface by digital control system obtains the report from digital control system in real time, the current main shaft operate power of this report reflection digital control system; If the main shaft operate power is lower than predetermined burden rate, then request improves feed rate; If the main shaft operate power is higher than predetermined burden rate, then request reduces feed rate; And the feed rate of regulating and control digital control system according to this request.The present invention has improved the working (machining) efficiency of digital control system.
By above-mentioned built-in optimization method, guaranteed the firm power that the main shaft operate power can normally be moved near digital control system all the time, so improved the working (machining) efficiency of digital control system.
In an embodiment of the present invention, a kind of built-in optimization device that is used for digital control system also is provided, comprise: acquisition module is used for internal interface by digital control system and obtains report from digital control system, the current main shaft operate power of report reflection digital control system in real time; Request module is lower than predetermined burden rate if be used for the main shaft operate power, and then request improves feed rate; If the main shaft operate power is higher than predetermined burden rate, then request reduces feed rate; And the regulation and control module, be used for feed rate according to request regulation and control digital control system.
By above-mentioned built-in optimization device, guaranteed the firm power that the main shaft operate power can normally be moved near digital control system all the time, so improved the working (machining) efficiency of digital control system.
Description of drawings
Accompanying drawing described herein is used to provide further understanding of the present invention, constitutes the application's a part, and illustrative examples of the present invention and explanation thereof are used to explain the present invention, do not constitute improper qualification of the present invention.In the accompanying drawings:
Fig. 1 shows the curve map of the digital control system machining load of prior art;
Fig. 2 shows the process flow diagram according to the built-in optimization method of the embodiment of the invention;
Fig. 3 shows the machining load curve map of the digital control system that adopts the embodiment of the invention;
Fig. 4 shows the synoptic diagram according to the CNC digital control system of the embodiment of the invention;
Fig. 5 shows the block scheme according to the built-in optimization device of the embodiment of the invention.
Embodiment
Below with reference to the accompanying drawings and in conjunction with the embodiments, describe the present invention in detail.
Fig. 2 shows the process flow diagram according to the built-in optimization method of the embodiment of the invention, may further comprise the steps:
Step S10: the internal interface by digital control system obtains the report from digital control system in real time, the current main shaft operate power of this report reflection digital control system;
Step S20: adjust feed rate according to this report request, that is, if the main shaft operate power is lower than predetermined burden rate, then request improves feed rate; If the main shaft operate power is higher than predetermined burden rate, then request reduces feed rate; And
Step S30: according to the feed rate of this request regulation and control digital control system.
Compared with prior art, this embodiment has increased the control to feed rate.In the present embodiment, the feed rate of digital control system no longer is defined in the minimum speed limit that guarantees system safety operation; But dynamically adjust feed rate, and make the load efficient of digital control system full as far as possible, for example remain 60～90%.
For example, when the rapidoprint of certain operation is softer, and processing action is less, when causing the operate power of the internal interface report this moment by digital control system low, send request in real time, to heighten the feed rate of digital control system, thereby the raising operate power makes load efficient keep 60～90%; When the rapidoprint of certain operation is harder, and processing action is bigger, when causing the operate power of the internal interface report this moment by digital control system higher, send request in real time, with the feed rate of reduction digital control system, thereby reduce operate power, make load efficient keep 60～90%.
In order to guarantee real-time, will adopt the software of this method to be embedded in the digital control system, and pass through the current operate power of internal interface real-time report of digital control system.Can by with the cooperation of digital control system producer, grasp the internal interface of digital control system, thereby from digital control system, obtain the power information of main shaft by internal interface.
The content of the request that sends can be the feeding multiplying power; By issuing low feeding multiplier value, ask to reduce feed rate; By issuing high feeding multiplier value, ask to improve feed rate.Step S30 regulates and control the feed rate of digital control system to the basic rate of feeding multiplying power.For example sending the feeding multiplying power is 120%, then feed rate is regulated and control to 1.2 times of basic rates; Sending the feeding multiplying power is 0, then feed-disabling; Sending the feeding multiplying power is 150%, then feed rate is regulated and control to 1.5 times of basic rates.
In order to improve the real-time of regulation and control, can adopt the special instruction of used model digital control system to regulate and control.
Step S30 can utilize neural network algorithm, takes the mode of self study, approaches optimum feed rate gradually, and the feeding multiplying power of utilizing digital control system to regulate lathe reaches the purpose of speed governing.Since the cutting process of machinery be one have highly non-linear, the time become, serious, the probabilistic complicated dynamic process of random disturbance, be difficult to it is control effectively based on traditional adaptive control technology of controlled process mathematical models.Artificial neural network technology (artificial neural network by a large amount of, the better simply formal neuron of function ratio is connected to each other and the complex networks system that constitutes can be simulated the many basic functions and the simple mode of thinking of brain with it.It can obtain outside knowledge and be stored in the network by study, can solve the not tractable difficult problem of computing machine, the particularly identification of voice and image, understand, the processing of knowledge, Combinatorial Optimization calculating and Based Intelligent Control etc. are a series of to be the problem of non-calculating in essence) it has embodied the height adaptive of people in the control activity, the ability of self-organization and self study, the mathematical model that can not rely on controlled process is handled uncertainty, coarse knowledge, can obtain satisfied control effect to complicated controlled process, and the simplification calculated amount better meets the requirement that real-time is controlled.Utilize the cutting process of nerual network technique according to machinery, construct rational neural network model, by continuous study to the process real-time condition, weights in optimization and the adjustment neural network model, make its value stable gradually, make speed output approach to the optimum feed rate that satisfies predetermined burden rate gradually.
The foregoing description especially can be applied in the roughing or half roughing of workpiece, and the pattern that general employing monitoring is processed in finishing, and play the protection cutter.For example, can obtain tool-information and material information in real time, calculate the optimum feed rate that satisfies predetermined burden rate with tool-information and material information by the internal interface of digital control system.
For example, can from digital control system, gather the power of main shaft in real time, feed rate, information such as rotating speed, in processing, according to the variation of image data, the abrasion condition of monitoring cutter carries out alarm when overload situations occurring, with the protection cutter.
For example, can from digital control system, gather the bearing power of main shaft in real time, information such as feed rate, neural network utilizes the information of these collections to learn, regulate weights wherein, optimize the speed of output gradually, calculate the feeding multiplying power of needs setting according to the feed rate of current feed rate and optimization; In processing, according to the variation of image data, and the information of cutter and rapidoprint, utilize neural network algorithm equally, the abrasion condition of monitoring cutter, and when overload situations occurring, carry out alarm, with the protection cutter.
In addition, the prior art numerically-controlled machine whenever run on foot cutter all the constant speed of feed compiled and edited of follow procedure carry out, often make working angles depart from optimum condition, thereby cause machining precision to descend or various machining failure frequently occurs.The dynamic adjustment feed rate of the embodiment of the invention also helps and improves machining precision and reduce machining failure.
When using the above embodiment of the present invention, because will use internal interface and special instruction, so the different NC system platform, program needs to transplant.But, only need obtain the external function interface of specific digital control system, so realize that than being easier to, cost is lower owing to can pure software realize.
In addition, report also can reflect each shifting axle operate power that digital control system is current, and built-in optimization method also can comprise: if the shifting axle operate power is lower than predetermined burden rate, then request improves feed rate; If the shifting axle operate power is higher than predetermined burden rate, then request reduces feed rate; And the feed rate of regulating and control each shifting axle of digital control system according to request.This helps improving the efficient of each shifting axle.
Fig. 3 shows the machining load curve map of the digital control system that adopts the embodiment of the invention.As shown in Figure 3, the operate power of the digital control system of the employing embodiment of the invention is all the time near rated power 30kw, so working (machining) efficiency is higher.
In addition, the embodiment of the invention can also adopt the step of CNC (Computer NumericalControl, computer numerical control) system's preprocessing function.Fig. 4 shows the synoptic diagram according to the CNC digital control system of the embodiment of the invention, comprising:
The regulation and control module of operation CNC numerical control software is gathered the load of each shifting axle of digital control system and main shaft in real time by the CNC interface function;
Image data is reported to the processing module of embedded lathe monitoring of operation and the excellent control software of process; And
This processing module sends axis feeding multiplying power, shifting axle feeding multiplying power, suddenly stops control signal instruction etc. to the regulation and control module, by the operation of regulation and control module controls digital control system by the CNC interface function to the CNC numerical control software.
This technology makes the CNC system read in a plurality of program segments in advance, the processing running orbit is carried out interpolation, and precompute the speed of feed and the acceleration of each program segment, delivers to the multistage buffering device then, to guarantee that cutter can be by certain speed high-speed motion when moving.Here it is so-called " prediction control ".Can reduce like this because the tracking error that acceleration and deceleration and servo lag cause, cutter is followed the parts profile of programmed instruction more accurately under high speed, machining precision is improved.Wherein read control in advance and comprise following function: the linear acceleration and deceleration before the interpolation; Functions such as the automatic reduction of speed in turning." the prediction pre-service " that the excellent control of the present invention system is possessed is convenient to excellent control system and grasped the track tendency in advance.
This technology mainly is applicable to acceleration and deceleration when feed rate changes in the process and the situation of turning reduction of speed, has improved machining precision, alleviated since suddenly velocity variations to the impact of lathe.
In addition, the embodiment of the invention can also adopt CAM (Computer AidedManufacturing, computer-aided manufacturing) software that machining locus is optimized.
This embodiment uses CAM software according to high feeding, high rotating speed, the cardinal rule of low cutting output, the cutter path of making rational planning for out reaches cutting parameter is carried out certain optimization process, and takes all factors into consideration machining path, selected rapidoprint, cutter, cutting output in the process precomputes the feed rate of each section in the process, makes cutter have more constant cutting load, to reach the requirement that improves working (machining) efficiency.Reduction cutting feed rate that will be suitable when a certain cutter track resection rate is high, on the contrary feed rate is cut in suitable increase, is increased to the maximum feed rate of lathe during cut-in without ball, like this can effectively even cutting load.
Fig. 5 shows the block scheme according to the built-in optimization device of the embodiment of the invention, comprising:
Regulation and control module 30 is used for the feed rate according to request regulation and control digital control system.
By above-mentioned built-in optimization device, guaranteed the firm power that the main shaft operate power can normally be moved near digital control system all the time, so improved the working (machining) efficiency of digital control system.
As can be seen from the above description, the above embodiments of the present invention have realized following technique effect:
An advantage of the present invention is real-time, and according to each machined parameters of real-time feedback, the dynamic adjustments feed rate is given full play to the stock-removing efficiency of cutter.
The present invention has improved workpiece roughing or half rough machined efficient greatly; make working angles remain at optimum state, reduced the time of processing, and effectively protected cutter; alleviated wearing and tearing, alleviated under the lathe event of overload lathe hardware is injured cutter.
The dynamic adjustment feed rate of the embodiment of the invention also helps and improves machining precision and reduce machining failure.
Obviously, those skilled in the art should be understood that, above-mentioned each module of the present invention or each step can realize with the general calculation device, they can concentrate on the single calculation element, perhaps be distributed on the network that a plurality of calculation element forms, alternatively, they can be realized with the executable program code of calculation element, thereby, they can be stored in the memory storage and carry out by calculation element, perhaps they are made into each integrated circuit modules respectively, perhaps a plurality of modules in them or step are made into the single integrated circuit module and realize.Like this, the present invention is not restricted to any specific hardware and software combination.
The above is the preferred embodiments of the present invention only, is not limited to the present invention, and for a person skilled in the art, the present invention can have various changes and variation.Within the spirit and principles in the present invention all, any modification of being done, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. a built-in optimization method that is used for digital control system is characterized in that, may further comprise the steps:
Internal interface by digital control system obtains the report from described digital control system in real time, and described report reflects the main shaft operate power that described digital control system is current;
If described main shaft operate power is lower than predetermined burden rate, then request improves feed rate; If described main shaft operate power is higher than predetermined burden rate, then request reduces feed rate; And the feed rate of regulating and control described digital control system according to described request.
2. built-in optimization method according to claim 1 is characterized in that, the internal interface by described digital control system obtains described report in real time.
3. built-in optimization method according to claim 1 is characterized in that, the content of described request is the feeding multiplying power; By issuing low feeding multiplier value, ask to reduce feed rate; By issuing high feeding multiplier value, ask to improve feed rate.
4. built-in optimization method according to claim 3 is characterized in that, the feed rate of regulating and control described digital control system according to described request specifically comprises:
The feed rate of described digital control system is regulated and control to the basic rate of described feeding multiplying power.
5. built-in optimization method according to claim 1 is characterized in that, the feed rate of regulating and control digital control system according to described request specifically comprises:
Adopt the special instruction regulation and control feeding multiplying power of described digital control system, to regulate and control described feed rate.
6. built-in optimization method according to claim 1 is characterized in that, the feed rate of regulating and control digital control system according to described request specifically comprises:
Utilize neural network algorithm, take the mode of self study, approach to the optimum feed rate that satisfies predetermined burden rate gradually.
7. built-in optimization method according to claim 1 is characterized in that, also comprises:
Internal interface by described digital control system obtains tool-information and material information in real time, calculates the optimum feed rate of the load that satisfies cutter with described tool-information and material information.
8. built-in optimization method according to claim 1 is characterized in that, described report also reflects each shifting axle operate power that described digital control system is current, and described built-in optimization method also comprises:
If described shifting axle operate power is lower than predetermined burden rate, then request improves feed rate; If described shifting axle operate power is higher than predetermined burden rate, then request reduces feed rate; And
Regulate and control the feed rate of the shifting axle of described digital control system according to described request.
9. built-in optimization method according to claim 1 is characterized in that, also comprises:
According to the feed rate of processing conditions planning cutter, make the main shaft operate power of expectation keep constant in advance.
10. a built-in optimization device that is used for digital control system is characterized in that, comprising:
Acquisition module is used for internal interface by digital control system and obtains report from described digital control system in real time, and described report reflects the main shaft operate power that described digital control system is current;
Request module is lower than predetermined burden rate if be used for described main shaft operate power, and then request improves feed rate; If described main shaft operate power is higher than predetermined burden rate, then request reduces feed rate; And
Regulate and control module, be used for regulating and control the feed rate of described digital control system according to described request.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2007103036772A CN101206471A (en) | 2007-12-20 | 2007-12-20 | Built-in optimization method and device for numerical control system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2007103036772A CN101206471A (en) | 2007-12-20 | 2007-12-20 | Built-in optimization method and device for numerical control system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN101206471A true CN101206471A (en) | 2008-06-25 |
Family
ID=39566740
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNA2007103036772A Pending CN101206471A (en) | 2007-12-20 | 2007-12-20 | Built-in optimization method and device for numerical control system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101206471A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104914789A (en) * | 2014-03-12 | 2015-09-16 | 株式会社捷太格特 | Numerical control unit and NC program creating unit |
| CN105334803A (en) * | 2015-12-15 | 2016-02-17 | 华中科技大学 | Numerically-controlled machine tool rough machining technological parameter optimization method based on main shaft current analysis |
| CN106863006A (en) * | 2017-04-07 | 2017-06-20 | 湖北汽车工业学院 | Cutting speed method for repairing and regulating and cutting system |
| CN107052903A (en) * | 2017-04-20 | 2017-08-18 | 南通国盛智能科技集团股份有限公司 | A kind of control method for ensureing processing constant load output |
-
2007
- 2007-12-20 CN CNA2007103036772A patent/CN101206471A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104914789A (en) * | 2014-03-12 | 2015-09-16 | 株式会社捷太格特 | Numerical control unit and NC program creating unit |
| US10274938B2 (en) | 2014-03-12 | 2019-04-30 | Jtekt Corporation | Numerical control unit and NC program creating unit |
| CN104914789B (en) * | 2014-03-12 | 2019-08-13 | 株式会社捷太格特 | Numerical control device and NC program making device |
| CN105334803A (en) * | 2015-12-15 | 2016-02-17 | 华中科技大学 | Numerically-controlled machine tool rough machining technological parameter optimization method based on main shaft current analysis |
| CN105334803B (en) * | 2015-12-15 | 2017-09-26 | 华中科技大学 | The Digit Control Machine Tool roughing process parameter optimizing method analyzed based on spindle motor current |
| CN106863006A (en) * | 2017-04-07 | 2017-06-20 | 湖北汽车工业学院 | Cutting speed method for repairing and regulating and cutting system |
| CN107052903A (en) * | 2017-04-20 | 2017-08-18 | 南通国盛智能科技集团股份有限公司 | A kind of control method for ensureing processing constant load output |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101201612A (en) | External hanging type optimization method and device for numerical control system | |
| CA2747118C (en) | Method of curvature controlled data smoothing | |
| Yeung et al. | Virtual CNC system. Part I. system architecture | |
| Ridwan et al. | A framework for machining optimisation based on STEP-NC | |
| Ulsoy et al. | Control of machining processes | |
| Koren | Control of machine tools | |
| CN112051799A (en) | Self-adaptive control method for machining | |
| Masory et al. | Stability analysis of a constant force adaptive control system for turning | |
| CN101169647A (en) | Mini line segment curve five-axis linkage machining speed smoothing method | |
| CN101206471A (en) | Built-in optimization method and device for numerical control system | |
| CN102500800B (en) | Open type intelligent milling system and milling method based on same | |
| CN102360198A (en) | Speed programming method of operating equipment in numerical control system, apparatus thereof and numerical control machine tool | |
| CN113231735A (en) | Cutting head obstacle avoidance method and device, computer equipment and medium | |
| CN104950796A (en) | Cutting method, cutting device and system | |
| CN107491036B (en) | Machine tool machining energy consumption control method and machine tool | |
| CN107807526A (en) | A kind of method for intelligently suppressing processing flutter based on Simulation of stability | |
| Ngo et al. | Milling contour error control using multilevel fuzzy controller | |
| Bailey et al. | Integrated modeling for metal removal operations | |
| Cus et al. | Adaptive self-learning controller design for feedrate maximisation of machining process | |
| Liu et al. | Constant Cutting Force Control for CNC Machining Using Dynamic Characteristic‐Based Fuzzy Controller | |
| CN113031525A (en) | Polynomial acceleration and deceleration motion control method and device applied to numerical control machining | |
| Tounsi et al. | Optimized feed scheduling in three axes machining: Part II: Experimental validation | |
| CN118226802B (en) | Speed planning method, device, numerical control equipment, numerical control machine tool, medium and product | |
| CN114995289A (en) | Self-adaptive effect-improving system for machine tool unit | |
| Pien et al. | Adaptive force control of two dimensional milling |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C12 | Rejection of a patent application after its publication | ||
| RJ01 | Rejection of invention patent application after publication |
Open date: 20080625 |