CN109407516A - The adaptive feedback chip removal system of CFRP processing - Google Patents
The adaptive feedback chip removal system of CFRP processing Download PDFInfo
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- CN109407516A CN109407516A CN201811552431.3A CN201811552431A CN109407516A CN 109407516 A CN109407516 A CN 109407516A CN 201811552431 A CN201811552431 A CN 201811552431A CN 109407516 A CN109407516 A CN 109407516A
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- chip removal
- removal system
- cfrp
- sensor
- control circuit
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
- G05B13/0275—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using fuzzy logic only
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- Artificial Intelligence (AREA)
- Physics & Mathematics (AREA)
- Software Systems (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- Evolutionary Computation (AREA)
- Health & Medical Sciences (AREA)
- Automation & Control Theory (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Control Of Positive-Displacement Air Blowers (AREA)
Abstract
The invention discloses a kind of CFRP processing with adaptive feedback chip removal system, the hand held terminal unit including chip removal system control circuit, various parameters acquisition sensor and collection display and control function;Chip removal system control circuit wirelessly receives the signal acquired from sensor, and is sent to handheld terminal.Handheld terminal generates chip removal system according to fuzzy control principle and controls signal, and it is wirelessly sent in blower, complete adaptive control process, realize the dynamic tracing changed to cutting state, and the operating status of chip removal system is automatically controlled according to different cutting states, so that chip is fully discharged in time.The signal results returned simultaneously to sensor feedback are assessed, and are analysed whether to reach expected chip removal effect, otherwise be would be repeated for above-mentioned adaptive process, so that chip removal device is more intelligent, automation, and then the green processing to realize CFRP.
Description
Technical field
It is powdered processing that the present invention, which is suitable for inclusion in all chips including carbon fibre composite processing,
In chip removal system.More particularly to the adaptive feedback chip removal system of a CFRP processing.
Background technique
Powdered chip can be generated in carbon fibre composite drilling process, and the body of worker is also influenced while polluting environment
Body health.And currently, in cutting process and the accumulation of chip can be caused due to the change of cutting parameter, adding it
It cannot be fully drawn in time during work.For this main problem, the present invention proposes a kind of new chip removal system ---
The adaptive feedback chip removal system of CFRP processing, to realize the green processing of carbon fibre composite.
Summary of the invention
The present invention devises a kind of adaptive feedback chip removal system, produced by making in CFRP process
Chip can adequately exclude in time, realize green processing.
1. to achieve the above object, the technical solution adopted by the present invention is that: a kind of adaptive feedback chip removal of CFRP processing
System, comprising: chip removal system control circuit and hand held terminal unit, the chip removal system control circuit is wirelessly
Receive the signal acquired from sensor, and is sent to handheld terminal;Handheld terminal generates according to control algolithm and adjusts wind
The control signal of machine revolving speed, and it is wirelessly sent to blower, the size by adjusting rotation speed of fan is completed adaptive
Answer control process;Receive the signal results that sensor feedback is returned simultaneously and compare assessment with system operations result, analysis is
It is no to reach expected chip removal effect, it otherwise would be repeated for above-mentioned adaptive process;
2. being equipped with the wireless transport module being mutually matched, the chip removal system between the sensor and chip removal system control circuit
The wireless transport module being mutually matched is equipped between control circuit and blower, the control algolithm uses fuzzy adaptivecontroller
Algorithm;
3. wireless transport module can be the modes such as bluetooth module, ZIGBee module, there is no stringent limitations, primarily to meeting
Short-distance transmission requirement of the blower fan control system to signal;The control algolithm uses fuzzy adaptivecontroller algorithm, in reality
Has self-learning capability during applying, i.e., algorithm can be according to the adjusting of relevant parameter in implementation process, and dynamically self is excellent
Change;The sensor element includes velocity sensor, displacement sensor and baroceptor;
4. it includes with a) speed of mainshaft, b) that the chip removal system control circuit, which generates and adjusts the process of the control signal of rotation speed of fan,
Closely to amount and c), this three parameter of back engagement of the cutting edge is input, passes through the corresponding control signal of handheld terminal control algolithm acquisition;
5. introducing feedback mechanism, system effectiveness is improved;
6. the handheld terminal is equipped with the display screen for showing cutting parameter and air pressure size;
7. display can be LCD display, image is shown clearly, for showing the data of cutting parameter and air pressure size;
8. the chip removal system control circuit is equipped with alarm elements, when collected cutting parameter is unreasonable, display screen is bright
Warning is played, plays the role of protecting lathe and workpiece;
9. therefore, adaptive feedback chip removal system of the invention may be implemented to cutting state change dynamic tracing, and according to
Different cutting states automatically controls the operating status of chip removal system, so that chip is fully discharged in time.Receive biography simultaneously
The signal results and system operations result that sensor is fed back compare assessment, analyse whether to reach expected chip removal effect,
Otherwise it would be repeated for above-mentioned adaptive process, so that chip removal device is more intelligent, automation, and then to realize CFRP's
Green processing.
Beneficial effects of the present invention
1. its maximum effect is generated when CFRP can be processed for the adaptive feedback chip removal system of CFRP processing
Chip is adequately discharged using the system in time, is good for avoid the body that environment is polluted in generated chip and influences operator
Health.2. the proposition of the design creativeness can automatically adjust the revolving speed of blower according to the variation of cutting parameter and then adjust negative pressure
Size.3. being assessed according to the signal results for returning to sensor feedback after processing, analyse whether to reach expected chip removal
Otherwise effect would be repeated for adaptive process.
Detailed description of the invention
Fig. 1 is schematic illustration of the CFRP processing with adaptive feedback chip removal system;
Fig. 2 is the schematic diagram of fan end control algolithm.
Specific embodiment
As shown in Figure 1, a kind of CFRP of the invention processing includes handheld terminal 9 and wind with adaptive feedback chip removal system
Machine 10.
Blower 11 includes draught fan control circuit 6 and sub-pressure conversion device 7.Sub-pressure conversion device 7 is equipped with baroceptor
8, it is shown for detecting the size of chip removal device air pressure, and on handheld terminal display screen 5;
Handheld terminal 9 includes chip removal system control circuit 3, display screen 5.Handheld terminal 9 and external sensor: velocity pick-up
The bluetooth wireless transmission module 4 being mutually matched is equipped between device 1, displacement sensor 2 and baroceptor 8, so that hand-held is whole
End 9 can receive to come from the collected signal of external sensor;It is equipped between draught fan control circuit 6 and handheld terminal 9 mutual
Matched bluetooth wireless transmission module 4 enables draught fan control circuit 6 to receive the control signal from handheld terminal 9.It is aobvious
Display screen 5 will be born for showing the negative pressure data fed back after the collected cutting parameter data of sensor and adaptive process
Pressure data and theoretical negative pressure numerical value compare display;When collected cutting parameter data are unreasonable, bright display lamp;
As shown in Figure 2, handheld terminal 9 includes shell.Chip removal system control circuit 3 is mounted on collection display and control function in shell
The side that surface of shell is convenient for user's observation is arranged in the display screen 5 of energy.
As shown in Figure 2, chip removal system control circuit 3 generates the process for adjusting the control signal of rotation speed of fan, with a) main shaft
Revolving speed, b) close to amount and c) this three parameter of back engagement of the cutting edge is input, inside the fuzzy controller of chip removal system control circuit 3,
Fuzzy quantization, fuzzy reasoning, ambiguity solution process are executed, the control signal of corresponding blower is obtained;In addition, chip removal system control electricity
Road 3 generates the process for adjusting the control signal of rotation speed of fan also by the amendment of sensor feedback signal.
Wherein:Represent the speed of mainshaft;F represents nearly amount;Represent back engagement of the cutting edge;Control voltageU represents blower 10
The operating voltage for needing to adjust in the current situation.
Fuzzy quantization:
The effect of fuzzy quantization is the mould for being converted into the common variables being defined in real number field originally inside controller on domain
Variable is pasted, via domain transformation, determines that two step of degree of membership is completed, it is as follows.
A, domain converts
1) by the speed of mainshaftDomain transformation is carried out in a certain range, obtains the corresponding magnitude of domain inside controller*
= +, whereinFor scale factor,For offset that may be present, defined with linguistic variable* fuzzy
Set, such as
X '={ 0123 }=in small is big=and { PTi PS PM PB };
2) nearly carry out domain transformation in a certain range to amount f, obtain the corresponding magnitude f* of domain inside controller=+F, whereinFor scale factor,F is offset that may be present, the fuzzy set of f* is defined with linguistic variable, such as
Y '={ -3-2-10123 }={ it is honest that small zero just small center is born in negative big negative }={ NEB NEM NES ZEO PES
PEM PEB};
3) by back engagement of the cutting edgeDomain transformation is carried out, the corresponding magnitude of domain inside controller is obtained = ,
WhereinFor scale factor,For offset that may be present, defined with linguistic variableFuzzy set, i.e.,
Z '={ -3-2-10123 }={ it is honest that small zero just small center is born in negative big negative }={ NECB NECM NECS
ZECO PECS PECM PECB}。
B, degree of membership is determined
Select suitable subordinating degree function that can determine that above-mentioned (built-in variable at this time is still through the transformed built-in variable of domain
Common variables)*, f*,To subjection degree, that is, degree of membership of respective fuzzy set, here subordinating degree function choose W=
(Xi) = , wherein a, mi, pi are real constant parameter, and a;It is right(Xi) is defined as: inside becomes
Xi is measured to the degree of membership of each fuzzy set, and 0;
In this way, finally obtaining the inside domain indicated with degree of membership according to a built-in variable to the degree of membership of each fuzzy set
Fuzzy quantity, i.e.,
* = {PTi PS PM PB};
F*=NEB NEM NES ZEO PES PEM PEB};
= {NECB NECM NECS ZECO PECS PECM PECB};
Wherein,PTi is the built-in variable for characterizing the speed of mainshaft* angle value is subordinate to fuzzy set micro-, and so on.
Fuzzy reasoning:
Fuzzy quantity after fuzzy quantization can be used for fuzzy reasoning.Fuzzy reasoning is using " IF A, B and C, Then P's "
Broad sense forward inference.A plurality of inference rule can be constructed based on experience.Wherein one such as:
IF * is PS and f* is PEB and is ZECO,then U* is NUS;
Wherein,U* is the operating voltage that blower 10 needs to adjust at current working u (k)The fuzzy quantity of u, fuzzy set
Closing U ' may be defined as:
U '={ -3-2-1 0123 }={ it is honest that small zero just small center is born in negative big negative }={ NUB NUM NUS
ZUO PUS PUM PUB}。
Ambiguity solution:
The control voltage increment output that ambiguity solution the reasoning results obtainU* is the fuzzy quantity of internal domain, and element is to each
The degree of membership of fuzzy set.By ambiguity solution method, makeU* becomes available for the common variables in the real number field of output.Solution
The fuzzy maximum membership degree method that can be used is subject to the method for subjection degree maximum, or use weighted mean method or using center of gravity
Method etc..
It is obtained by above-mentioned ambiguity solution methodU* is the common variables of internal domain.Again through domain inverse transformation
Obtain the common variables of real domainU=U*,For scale factor.It obtains at this timeU is the real defeated of needs
Output.Blower 10 receives voltage increment signalU, adjustment operating voltage make its u (k+1)=u (k)+U regulates and controls wind
Speed.
Except fuzzy control, air-blower control signal also receives the feedback compensation of sensor feedback signal.According to sensor
Feedback signal changes inference rule, corrected parameter (such as subordinating degree function mi, pi), algorithm is made to adapt to process requirements automatically.
Claims (8)
1. a kind of adaptive feedback chip removal system of CFRP processing, comprising: chip removal system control circuit and hand held terminal unit,
The chip removal system control circuit wirelessly receives the signal acquired from sensor, and is sent to hand-held end
End;Handheld terminal generates the control signal for adjusting rotation speed of fan according to control algolithm, and is wirelessly sent to blower,
Receive the signal results that sensor feedback is returned simultaneously and compare assessment with system operations result, analyses whether to reach expected
Chip removal effect, otherwise will repeat above-mentioned adaptive process.
2. the adaptive feedback chip removal system of CFRP according to claim 1 processing, it is characterised in that: the sensor with
The wireless transport module being mutually matched is equipped between chip removal system control circuit, between the chip removal system control circuit and blower
Equipped with the wireless transport module being mutually matched, the control algolithm uses fuzzy adaptivecontroller algorithm.
3. the adaptive feedback chip removal system of CFRP processing according to claim 1, it is characterised in that: the sensor member
Part includes velocity sensor, displacement sensor and baroceptor.
4. the adaptive feedback chip removal system of CFRP processing according to claim 1, it is characterised in that: the chip removal system
Control circuit generates the process for adjusting the control signal of rotation speed of fan, with a) speed of mainshaft, b) nearly to amount and c) back engagement of the cutting edge this
Three parameters are input, generate corresponding control signal by handheld terminal control algolithm.
5. the adaptive feedback chip removal system of CFRP processing according to claim 1, it is characterised in that: the adjusting blower
The control signal of revolving speed passes through the size of the big minor adjustment negative pressure of system inner blower revolving speed.
6. the adaptive feedback chip removal system of CFRP processing according to claim 1, it is characterised in that: the hand-held is whole
End is equipped with display screen, for showing the size of cutting parameter and air pressure.
7. the adaptive feedback chip removal system of CFRP processing according to claim 1, it is characterised in that: the chip removal system
Control circuit is equipped with alarm elements, and when collected cutting parameter is unreasonable, display screen lights warning, plays protection lathe
With the effect of workpiece.
8. the adaptive feedback chip removal system of CFRP processing according to claim 1, being suitable for all chips is powder
The processing chip removal process of last shape.
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