CN103628275A - Intelligent washing machine based on nerve net fuzzy controller - Google Patents
Intelligent washing machine based on nerve net fuzzy controller Download PDFInfo
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
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Abstract
The invention discloses an intelligent washing machine based on a nerve net fuzzy controller. The intelligent washing machine comprises a fuzzy processing unit, a nerve fuzzy control unit, a converter, a washing machine controller and a turbidity sensor, wherein the turbidity sensor is used for sensing the turbidity of water in the washing machine and inputting a measured value of the measured turbidity into the fuzzy processing unit; the fuzzy processing unit receives the measured value and a set value, performs fuzzy processing on the measured value and the set value, and transmits processed signals to the nerve fuzzy control unit; the nerve fuzzy control unit adopts an artificial nerve net and fuzzy control to process the signals transmitted from the fuzzy processing unit, and uses the artificial nerve net for performing fuzzy information processing so as to obtain output signals and transmit the output signals to the converter; the converter performs anti-fuzzy processing on the output signals transmitted from the nerve fuzzy control unit so as to transmit a command signal to the washing machine controller; the washing machine controller sets washing parameters according to the command signal received from the converter.
Description
Technical field
The present invention relates to household appliance technical field, more particularly, the present invention relates to a kind of intelligent washing machine based on neural network fuzzy control device.
Background technology
So far, application number is that the patent application of 201310198536.4 by name " a kind of improved fuzzy control method for washer " provides a kind of improved fuzzy control method for washer, the method is utilized counter electromotive force method, by the measurement that washing machine is produced to umber of pulse under empty bucket and node load state, derive the corresponding relation of water level shelves and load pulse, this corresponding relation is write into water level judgement fuzzy control program, which by the umber of pulse that produces under different loads state of judgement washing machine, drop within the scope of water level shelves and load pulse corresponding relation, can select corresponding water level shelves.
Application number is the control method that the patent application of 97120936.7 by name " fuzzy control method for washer " relates to washing machine, mainly mnemonic learning function and the power-failure memory function that washing machine is set, main technical content is the physical quantity of motor while measuring empty bucket with testing circuit, judge that whether this physical quantity is qualified and following two kinds of steps are made to corresponding selection, if one is overproof, learn unsuccessfully, restart, if its two learning success, determines that by the fuzzy control rule between the controlled quentity controlled variable of having set up and above-mentioned surveyed physical quantity corresponding data are as the value of controlled quentity controlled variable, thereby guarantee the accuracy of washing machine fuzzy control, it is mainly monitor supply voltage and store current duty that power-failure memory function is set, and has continued remaining working procedure after sending a telegram here.
Application number is that the patent application of 93116537.7 " a kind of fuzzy control method for washer and controllers thereof " by name is as weight, cloth matter, dehydration sensor with motor for washer, and with optical sensor as dirty degree sensor, according to actual measurement stall point voltage, current of electric and corresponding declinate thereof, by single chip microcomputer, calculated weight, pliability, degree of dehydration and dirty degree and the water intake velocity of laundry item, and then definite dosage of scour, inflow, flooding time, wash time, dewatering time etc. are to realize fuzzy Automatic Control.
Fuzzy control technology has the feature of simulation human brain abstract thinking, is suitable for direct representation knowledge. and can make full use of the knowledge of ambit, with certain regular number, express knowledge.There is logical reasoning ability, process fuzzy message or other nonspecific information.Fuzzy neural network is having its unique advantage aspect the nonlinear complication system of optimization.The abilities such as the feature that can simulate human brain thinking in images, has study, remembers, fault-tolerant, there is certain complementarity in the two. and neutral net is introduced to fuzzy logic controller and can improve better the intelligent of control system.
Due to the complementation in fuzzy logic and neutral net characteristic, they are that the implementation language representation of knowledge and these two kinds of mankind of self adaptation knowledge development control the ideal tools based on feature, thereby the research of fuzzy control and neutral net fusion has been become to an active research field in recent years.At present, these integrated approaches mainly can be divided into two classes: one makes them structurally be equivalent to fuzzy device, fuzzy rule base and defuzzifier for applying respectively corresponding neutral net, directly realizes Fuzzy control system.Another,, for by neutral net, is equivalent to fuzzy system in function.
But technique scheme only can be carried out fuzzy control, and can not realize real simulation people's processing.
Summary of the invention
Technical problem to be solved by this invention is for there being above-mentioned defect in prior art, and a kind of intelligent washing machine that can improve the accuracy of fuzzy control and the operating efficiency of washing machine is provided.
In order to realize above-mentioned technical purpose, according to the present invention, provide a kind of intelligent washing machine based on neural network fuzzy control device, it comprises: Fuzzy processing unit, nerve fuzzy control unit, converter, washing machine controller and turbidity sensor; Wherein, turbidity sensor is used for the turbidity of the water of sensing washing machine, and the measured value of the turbidity recording is inputed to Fuzzy processing unit; Fuzzy processing unit is used for receiving measured value and setting value, and measured value and setting value are carried out to Fuzzy processing, and the signal after processing is passed to nerve fuzzy control unit; Nerve fuzzy control unit is processed for the signal that adopts artificial neural network and fuzzy control to pass over Fuzzy processing unit, wherein utilizes artificial neural network to carry out fuzzy message processing to obtain output signal and to be passed to converter; Converter carries out reverse gelatinization processing to send command signal to washing machine controller for the output signal that nerve fuzzy control unit is passed over; Washing machine controller is for the parameter of doing washing according to the command signal receiving from converter.
Preferably, the turbidity of water in turbidity sensor sensing laundry machine barrel.
Preferably, the turbidity of the water in turbidity sensor sensing washing machine sewer pipe.
Preferably, laundry parameter is flow intensity.
Preferably, laundry parameter is wash time.
The present invention has improved control system intelligent of washing machine, the accuracy of fuzzy control and the operating efficiency of washing machine have been improved, reached better object energy-conservation, consumption reduction, the function that makes to do washing adapts to user's use habit very soon, thereby allow user feel getting easier and easier to use, met client's demand.
Accompanying drawing explanation
By reference to the accompanying drawings, and by reference to detailed description below, will more easily to the present invention, there is more complete understanding and more easily understand its advantage of following and feature, wherein:
Fig. 1 schematically shows the control block diagram of the intelligent washing machine based on neural network fuzzy control device according to the preferred embodiment of the invention.
Fig. 2 schematically shows the neural network structure figure of the nerve fuzzy control unit 20 of the intelligent washing machine based on neural network fuzzy control device (BP network) according to the preferred embodiment of the invention.
It should be noted that, accompanying drawing is used for illustrating the present invention, and unrestricted the present invention.Note, the accompanying drawing that represents structure may not be to draw in proportion.And in accompanying drawing, identical or similar element indicates identical or similar label.
The specific embodiment
In order to make content of the present invention more clear and understandable, below in conjunction with specific embodiments and the drawings, content of the present invention is described in detail.
Artificial neural network (is called for short neutral net, Artificial Neural Network, ANN) there is the features such as non-linear description, large-scale parallel distribution process ability and study and association, utilize artificial neural network technology to carry out fuzzy message processing, can make fuzzy system become a kind of adaptive fuzzy system.It has stronger robustness to parameter change and various interference, and tracking performance is good fast, for complex industrial process control provides a kind of new way, improves the accuracy of fuzzy control and the operating efficiency of washing machine, reaches better object energy-conservation, consumption reduction.
Neural network fuzzy control is for performance advantage separately, artificial neural network and fuzzy control to be organically combined.Utilize artificial neural network technology to carry out fuzzy message processing, for fuzzy controller provides good learning functionality.The fuzzy control realizing by neutral net, is impliedly distributed in knowledge representation rule in network, rather than by explicit tabling look-up, can make the automatic extraction of fuzzy rule and the automatic generation of fuzzy membership functions become possibility.Thereby overcome fuzzy control without the shortcoming of self-learning capability, make fuzzy system become a kind of adaptive fuzzy system.
Neutral net is the network being interconnected together by a large amount of processing unit (neuron), though can not reflect the function of people's brain completely, but, it be abstract to certain of biological neural network, simplify and simulation, its information processing realizes by neuronic interaction.The function of each processing unit is simple, but a large amount of simply processing unit collective, parallel activity obtain the identification of expection, the result of calculating, have speed faster.The starting point of neutral net does not lie in the nerve cell network utilizing in physical device complete copy organism, overcomes current computer or the indeterminable problem of other system, as study, control, identification etc. but extract wherein available part.Neutral net has the features such as non-linear description, large-scale parallel distribution process ability and height robustness and study and association, is applicable to simulation and the On-line Control of Large scale nonlinear time varying system.It is having very strong advantage aspect cognition processing, pattern-recognition.
Neural network fuzzy control is for performance advantage separately, artificial neural network and fuzzy control to be organically combined.This patent is to utilize artificial neural network technology to carry out fuzzy message processing, make the fuzzy controller of washing machine there is good learning functionality, thereby overcome fuzzy control without the shortcoming of self-learning capability, make the fuzzy system of intelligent washing machine become a kind of adaptive fuzzy system
Washing Machine Based on Fuzzy Control is under neutral net Based Intelligent Control, and a kind of Full automatic washing machine of decision operation is carried out in apish thinking.What common micro computer washing machine adopted is the fixed routine quantizing, and once setting, just can not change; Fuzzy washing machine is that application fuzzy controller replaces human brain " analysis " " judgement ".Working procedure can change to a certain extent at any time, thereby has artificial intelligence, more accurate than common micro computer, more applicable.
Washing Machine Based on Fuzzy Control can adopt following sensor to carry out the picked-up of information content:
Level sensor: according to how many automatic sensings of washings, set and automatically control water consumption.
Cloth matter sensor: by automatic sensing clothes weight and water sucting degree, the material of perception clothing, and then determine mode of washing.
Cooling-water temperature sensor: can, according to environment temperature and water temperature, automatically determine wash time.
Photoelectric sensor: the light transmittance (degree of fouling) according to circulating washing water in clothes washing process, determines best program for washing.
The information that these sensors are collected, after microcomputerized overall is judged, just automatically selects the running parameters such as optimal water level, wash time and laundry action, and according to information such as the size of clothing and quality, carries out best washing procedure.People only need gently press the start key of washing machine, and remaining thing has just all been completed by washing machine automatically.Visible, the main controlled parameter of washing machine is flow intensity and wash time.
Neural network fuzzy control device is in the selection of input, output parameter, and definite aspect of fuzzy domain and fuzzy subset and general fuzzy controller roughly the same.Now only take turbidity and turbidity rate of change determines the controller of wash time as parameter.Feature is: the network that off-line training is good, can obtain best output by calculating.Avoided general Washing Machine Based on Fuzzy Control because rule list must account for a large amount of memory headrooms, the reaction speed of tabling look-up is slow, and can only control and the shortcoming of underaction according to the rule of having inputted.
Because neutral net can have again self-learning function and associative ability by calculating online best output, by it, make decisions and control output, just seem very flexible.
Fig. 1 schematically shows the control block diagram of the intelligent washing machine based on neural network fuzzy control device according to the preferred embodiment of the invention.
As shown in Figure 1, the intelligent washing machine based on neural network fuzzy control device of the preferred embodiment of the present invention comprises: Fuzzy processing unit 10, nerve fuzzy control unit 20, converter 30, washing machine controller 40 and turbidity sensor 50.
Wherein, turbidity sensor 50 is for the turbidity of the water of sensing washing machine (water in laundry machine barrel in water or washing machine sewer pipe), and the measured value y of the turbidity recording is inputed to Fuzzy processing unit 10.
The value that Fuzzy processing unit 10 is for example set by the user for receiving measured value y and setting value x(), for example can calculate the difference signal e (x) between setting value x and measured value y, and measured value y and setting value x are carried out to Fuzzy processing, the signal after processing is passed to nerve fuzzy control unit 20; For example, Fuzzy processing unit 10 can be determined as the fuzzy language value of the difference signal e (x) of variable (example x1-x14 as shown in Figure 2), conventionally chooses 3,5 or 7 values, then selected fuzzy set is defined to its membership function.
Nerve fuzzy control unit 20 is processed for the signal that adopts artificial neural network and fuzzy control to pass over Fuzzy processing unit 10, wherein utilize artificial neural network to carry out fuzzy message processing to obtain output signal and to be passed to converter 30, in fact realized thus the fuzzy controller with good learning functionality.
Washing machine controller 40 is for the parameter of doing washing according to the command signal receiving from converter 30, and the parameter of for example doing washing is flow intensity and/or wash time.
As example, Fig. 2 schematically shows the neural network structure figure of the nerve fuzzy control unit 20 of the intelligent washing machine based on neural network fuzzy control device (BP network) according to the preferred embodiment of the invention, wherein shows the ANN (Artificial Neural Network) Control structure based on turbidity and turbidity rate of change.
As shown in Figure 2, nerve network system comprises input layer, intermediate layer (also claiming hidden layer) and output layer, each layer of neuron only with between adjacent layer neuron is connected mutually entirely, with nothing connection between neuron in layer, between each layer of neuron without feedback link, form the feed-forward type nerve network system with hierarchical structure, signal can only transmit forward layer by layer.Wherein, for example, suppose the signal of fuzzy language value x1-x14 for passing over from Fuzzy processing unit 10.Y1-y14 is output signal parameter.
Making x1-x7 is the fuzzy subset of input quantity turbidity, and x8-x14 is the fuzzy subset of input quantity turbidity rate of change, and y1-y8 is the fuzzy subset of output controlled quentity controlled variable.And hypothesis:
Input quantity turbidity fuzzy word subset is: { clear, more turbid, turbid, very turbid };
Turbidity rate of change fuzzy word subset is: and zero, little, in, large };
The fuzzy word subset of output variable wash time is: and short, shorter, standard, long.
The process of having determined fuzzy subset's Amendment of subordinate function, can obtain the dispersion on finite point its discretization, forms a corresponding discrete subset.
In other words, x1-x7 is input quantity turbidity fuzzy word subset, and x7-x14 is turbidity rate of change fuzzy word subset, through the fuzzy control rule table of the washing machine shown in following table 1, can obtain the fuzzy subset of the output controlled quentity controlled variable of Y1-Y7.
Wherein, the fuzzy control rule table of washing machine is as shown in table 1:
Wherein " standard, long and short " refers to wash time, and wherein user can set the concrete wash time in the situations such as " standard ", " length " and " short ".Standard for " clearly ", " more turbid " of turbidity, " turbid ", " very turbid " also can be set by user oneself; In addition, similarly, " very little " of turbidity rate of change, " in " and the standard of " greatly " also can be set by user oneself.
As each element of each sample (membership function) assignment to 16 fuzzy control rules, they are sent into neutral net successively and carry out off-line training, both made them there is function of associate memory.This washing machine, through being repeatedly used, makes it have the feature of simulation human brain thinking in images, has study, memory, the ability such as fault-tolerant, has improved better control system intelligent of washing machine.
The present invention has improved control system intelligent of washing machine, the accuracy of fuzzy control and the operating efficiency of washing machine have been improved, reached better object energy-conservation, consumption reduction, the function that makes to do washing adapts to user's use habit very soon, thereby allow user feel getting easier and easier to use, met client's demand.
In addition, it should be noted that, unless stated otherwise or point out, otherwise the descriptions such as the term in description " first ", " second ", " the 3rd " are only for distinguishing each assembly, element, step of description etc., rather than for representing logical relation between each assembly, element, step or ordinal relation etc.
Be understandable that, although the present invention with preferred embodiment disclosure as above, yet above-described embodiment is not in order to limit the present invention.For any those of ordinary skill in the art, do not departing from technical solution of the present invention scope situation, all can utilize the technology contents of above-mentioned announcement to make many possible changes and modification to technical solution of the present invention, or be revised as the equivalent embodiment of equivalent variations.Therefore, every content that does not depart from technical solution of the present invention,, all still belongs in the scope of technical solution of the present invention protection any simple modification made for any of the above embodiments, equivalent variations and modification according to technical spirit of the present invention.
Claims (5)
1. the intelligent washing machine based on neural network fuzzy control device, is characterized in that comprising: Fuzzy processing unit, nerve fuzzy control unit, converter, washing machine controller and turbidity sensor;
Wherein, turbidity sensor is used for the turbidity of the water of sensing washing machine, and the measured value of the turbidity recording is inputed to Fuzzy processing unit;
Fuzzy processing unit is used for receiving measured value and setting value, and measured value and setting value are carried out to Fuzzy processing, and the signal after processing is passed to nerve fuzzy control unit;
Nerve fuzzy control unit is processed for the signal that adopts artificial neural network and fuzzy control to pass over Fuzzy processing unit, wherein utilizes artificial neural network to carry out fuzzy message processing to obtain output signal and to be passed to converter;
Converter carries out reverse gelatinization processing to send command signal to washing machine controller for the output signal that nerve fuzzy control unit is passed over;
Washing machine controller is for the parameter of doing washing according to the command signal receiving from converter.
2. the intelligent washing machine based on neural network fuzzy control device according to claim 1, is characterized in that, the turbidity of water in turbidity sensor sensing laundry machine barrel.
3. the intelligent washing machine based on neural network fuzzy control device according to claim 1 and 2, is characterized in that, the turbidity of the water in turbidity sensor sensing washing machine sewer pipe.
4. the intelligent washing machine based on neural network fuzzy control device according to claim 1 and 2, is characterized in that, laundry parameter is flow intensity.
5. the intelligent washing machine based on neural network fuzzy control device according to claim 1 and 2, is characterized in that, laundry parameter is wash time.
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| CN103924419A (en) * | 2014-05-04 | 2014-07-16 | 青岛华恩洗涤机械有限公司 | Washing solution online detection method and washing device |
| CN106996007A (en) * | 2017-04-21 | 2017-08-01 | 无锡小天鹅股份有限公司 | Control method of washing and device |
| CN107815815A (en) * | 2016-09-14 | 2018-03-20 | 青岛海尔洗衣机有限公司 | Dewatering control method for washing machine and washing machine |
| CN109281134A (en) * | 2018-11-09 | 2019-01-29 | 珠海格力电器股份有限公司 | Water level control method and device, storage medium and washing machine |
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| US11447904B2 (en) | 2018-08-30 | 2022-09-20 | Lg Electronics Inc. | Artificial intelligence washing machine and method of controlling the same |
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| US11725329B2 (en) | 2018-08-30 | 2023-08-15 | Lg Electronics Inc. | Artificial intelligence laundry treatment apparatus and method of controlling the same |
| CN110924043A (en) * | 2018-08-30 | 2020-03-27 | Lg电子株式会社 | Artificial intelligence clothes treating apparatus and control method thereof |
| CN110924061A (en) * | 2018-08-30 | 2020-03-27 | Lg电子株式会社 | Artificial intelligent washing machine and control method thereof |
| CN110924053A (en) * | 2018-08-30 | 2020-03-27 | Lg电子株式会社 | Artificial intelligent washing machine and control method thereof |
| CN110924056A (en) * | 2018-08-30 | 2020-03-27 | Lg电子株式会社 | Artificial intelligent washing machine and control method thereof |
| US11821128B2 (en) | 2018-08-30 | 2023-11-21 | Lg Electronics Inc. | Artificial intelligence washing machine and controlling method therefor |
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| CN110924065B (en) * | 2018-08-30 | 2021-12-14 | Lg电子株式会社 | Artificial intelligence clothes treating apparatus and control method thereof |
| CN110924061B (en) * | 2018-08-30 | 2022-01-28 | Lg电子株式会社 | Artificial intelligent washing machine and control method thereof |
| CN110924056B (en) * | 2018-08-30 | 2022-04-08 | Lg电子株式会社 | Artificial intelligent washing machine and control method thereof |
| CN110924053B (en) * | 2018-08-30 | 2022-04-26 | Lg电子株式会社 | Artificial intelligent washing machine and control method thereof |
| CN109281134A (en) * | 2018-11-09 | 2019-01-29 | 珠海格力电器股份有限公司 | Water level control method and device, storage medium and washing machine |
| CN110284299A (en) * | 2019-07-02 | 2019-09-27 | 上海景能电气有限公司 | It is a kind of applied to without sensing rotary drum washing machine weighing method |
| CN112391793A (en) * | 2019-07-30 | 2021-02-23 | Tcl集团股份有限公司 | Washing machine control method, washing machine and storage medium |
| CN112251983A (en) * | 2020-09-29 | 2021-01-22 | 珠海格力电器股份有限公司 | Washing machine control method and device and washing machine |
| CN112575534A (en) * | 2020-12-01 | 2021-03-30 | 珠海格力电器股份有限公司 | Washing control method and device of washing machine and washing machine |
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