EP0634507B1 - Système pour augmenter la production de métiers à filer - Google Patents

Système pour augmenter la production de métiers à filer Download PDF

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Publication number
EP0634507B1
EP0634507B1 EP94110331A EP94110331A EP0634507B1 EP 0634507 B1 EP0634507 B1 EP 0634507B1 EP 94110331 A EP94110331 A EP 94110331A EP 94110331 A EP94110331 A EP 94110331A EP 0634507 B1 EP0634507 B1 EP 0634507B1
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EP
European Patent Office
Prior art keywords
parameters
control
measurable
fuzzy
variables
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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.)
Expired - Lifetime
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EP94110331A
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German (de)
English (en)
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EP0634507B2 (fr
EP0634507A1 (fr
Inventor
Christoph Kaufmann
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Zellweger Luwa AG
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Zellweger Luwa AG
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Classifications

    • DTEXTILES; PAPER
    • D01NATURAL OR MAN-MADE THREADS OR FIBRES; SPINNING
    • D01HSPINNING OR TWISTING
    • D01H13/00Other common constructional features, details or accessories
    • D01H13/32Counting, measuring, recording or registering devices

Definitions

  • the present invention relates to a system for increasing the production of spinning machines, with sensors for measuring parameters which influence production, and with a control for deriving control variables from these parameters and for forming control variables for the spinning machine from the control variables obtained, those parameters which have a clear mathematical connection with the respective control variable are included in the control by conventional algorithms.
  • the invention is now to provide a system for increasing the production of spinning machines, which enables an improved influence on the production and in which a larger number of parameters can be used to obtain the controlled variables.
  • an input station is provided, by means of which further parameters, which are difficult or impossible to measure, can be entered, and that those parameters which have no clear mathematical connection with the respective control variable can be fuzzy.
  • Logic of a fuzzy controller are included in the control.
  • fuzzy logic does not require a model of the process to be controlled, and that the parameters have not just a single defined value, but several fuzzy sets, the so-called fuzzy sets.
  • the system according to the invention thus has two major advantages: on the one hand, not all parameters need to be present as a mathematically defined function of the controlled variables, and on the other hand, not all parameters necessarily have to be measurable with a sensor system. Both advantages mean that parameters perceived by the operator can also be entered into the system, which in turn means a considerable amount Extension of the range of parameters that can be used.
  • FIG. 1 shows a block diagram of a control system for a ring spinning machine RS, the control system preferably being based on the known data system USTER RINGDATA (USTER - registered trademark of Zellweger Uster AG) and also using components known from it. These known components are, in particular, a so-called machine station MS, to which the various sensors for parameters to be recorded are connected, a machine input station ES for data input, such as article change, or data input, such as creep spindle report, and a motor control MA of the ring spinning machine RS.
  • USTER RINGDATA USTER - registered trademark of Zellweger Uster AG
  • the sensors mentioned are, for example, a hiking sensor provided on each machine side and guided along the ring bench, an underwind sensor and a production sensor.
  • the production sensor detects the revolutions of the discharge cylinder on the drafting system and provides basic information about production quantities and delivery speeds, frequency and duration of long downtimes and the like.
  • the underwind position of the ring bench is recorded with the underwind sensor to record the number and duration of the bobbin takeoffs.
  • the walking sensor is provided once on each machine side and is guided along the ring bench. It detects the rotational movement of the ring travelers without contact and provides information about thread breaks at each spinning station and the mean time to remedy them, as well as the average speed of the ring travelers and thus about the spinning stations with insufficient speed.
  • the machine station MS is connected via a line 1 to a control stage ST, which is also referred to as the central unit in the USTER RINGDATA data system, in which the information received via line 1 from the machine station MS about the measurable parameters is processed into control variables.
  • a control stage ST which is also referred to as the central unit in the USTER RINGDATA data system, in which the information received via line 1 from the machine station MS about the measurable parameters is processed into control variables.
  • the configuration of the control system described so far is known from USTER News Bulletin No. 27 of August 1979 "The detection of thread breaks in the ring spinning mill”.
  • the motor control MA receives a manipulated variable on a line 2 for adjusting the drive of the ring spinning machine RS on the basis of the control variables obtained in the control stage ST.
  • Essential 1 of the control system shown in FIG. 1 is the fact that the control stage ST not only receives information about the measurable parameters, but also information about non-measurable parameters, and that the latter parameters are also taken into account when the control variables are obtained.
  • the control stage ST receives the information about the measurable parameters from the sensors connected to the machine station and the information about non-measurable parameters from the input station ES connected to the machine station MS via a line 3.
  • the traditional control technology be it state controller, P controller (controller with proportional component, i.e. with one setting parameter), PI controller (controller with proportional and integral component, i.e. with two setting parameters), PID controller (controller with proportional, integral and differential component, i.e. with three setting parameters) or the like, assume that the relationships of the process to be controlled are known and can be described and can be represented in a model.
  • This modeling also includes disturbance variables such as temperature drift, although it is also known to integrate the disturbance variables into the control in such a way that they do not have a negative effect on the control process. But here too there must be a mathematical relationship between the disturbance variable and the controlled variable. If this is not the case, the regulation will fail, apart from coincidences.
  • the speed of the spindles which essentially determines the production of the ring spinning machine, is not only dependent on the parameters monitored and measured with the sensors mentioned, but also on influencing factors such as climate, airborne dust, air flow or even on subjective and individual parameters of the operating personnel , such as its workload.
  • influencing factors such as climate, airborne dust, air flow or even on subjective and individual parameters of the operating personnel , such as its workload.
  • the parameters can be divided into technically measurable and technically non-measurable. If one takes the possibility of establishing a mathematical connection between parameters and control variables as a criterion, then the parameters can be divided into those with and without such a mathematical connection with the relevant control variable.
  • the control system shown in Figure 1 is now to enable all four classes of parameters mentioned to be included in the control. This is achieved through a synthesis of conventional adaptive control and fuzzy logic.
  • fuzzy logic With regard to fuzzy logic, reference is made to the now extensive literature on this topic, for example the book “Fuzzy Set Theory and its Applications” by H.-J. Zimmermann, Kluwer Academic Publishers, 1991. The so-called fuzzy sets were introduced 25 years ago in order to mathematically describe inaccurate and incomplete data sets that often occur in the real world (images, subjective descriptions). While the classic control logic only has the two sharp values yes or no, 0 or 1, the fuzzy logic has a membership function that can take any value within the range 0 to 1 to describe the belonging of an object to a certain quantity.
  • control technology is operated using fuzzy set theory
  • the basic idea is to incorporate the experience of a human process operator into the design of the controller. Based on a set of linguistic rules that describe the operator's control strategy, a control algorithm is constructed in which the words are defined as fuzzy sets. In this way, experience and intuition can be implemented and no process model is required.
  • control system is designed in such a way that further parameters that are not yet known can be defined, be they technically measurable or not technically measurable.
  • relationship between parameter and controlled variable can be entered in the control system.
  • thunderstorm tendency is the name for the likelihood of a thunderstorm. she is depending on various factors, including general weather conditions, air pressure, local electric field, local ionization of the air, and so on.
  • tendency to thunderstorms for example, all operators of a spinning mill are asked which subject to thunderstorm tendencies they feel, and the degree of perceived thunderstorm tendency is assigned to one of three classes (no, medium or strong thunderstorm tendency). These statements are compared with the thunderstorm tendency objectified by information from meteorological experts and the three classes mentioned are compiled in the manner shown in FIG. 2.
  • Each class is, for example, a trapezoidal fuzzy set, with the thunderstorm GN on the abscissa and the weight G on the ordinate. It is typical of these sets that overlap areas of the individual states exist, in which several states can be assigned to unique values of the thunderstorm tendency on the x axis.
  • a fuzzy controller FC is arranged between the control ST and the motor control MA. This consists of a rule base 4 and an interference machine 5 for the premises and an action interface 6 for the conclusions. Strictly speaking, the input station ES, which acts as a user interface, is also part of the fuzzy controller FC.
  • the system enters limit values for the speeds within which the control may move (minimum below maximum upper speed).
  • the entered speed change i.e. the reduction or increase in speed, per control step and per acquisition size used.
  • the speed is regulated step by step within the permissible speed interval, taking into account and updating the degree of truth.
  • Fig. 3 shows a graphical representation of the control of the speed of a ring spinning machine based on the number of thread breaks.
  • the speed D (in revolutions per minute) is shown in the upper half of the figure and the thread break rate FDB (in number of thread breaks per thousand spindle running hours) is plotted against the time t in the lower half.
  • the permissible maximum upper rotational speed Do the permissible minimum lower rotational speed Du
  • the control is carried out analogously to the thread breaks. If the target temperature or the target humidity is exceeded or not reached, the speed is changed step by step within the permissible speed interval.
  • the speed is regulated on the basis of the entered rules a to e, the output variables preferably being calculated by forming the center of gravity (CoA) or by establishing the mean value (MoM).

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Textile Engineering (AREA)
  • Feedback Control In General (AREA)
  • Spinning Or Twisting Of Yarns (AREA)
  • Preliminary Treatment Of Fibers (AREA)
  • Spinning Methods And Devices For Manufacturing Artificial Fibers (AREA)
  • Incineration Of Waste (AREA)

Claims (6)

  1. Système destiné à augmenter la production de métiers à filer, ayant des capteurs pour mesurer des paramètres qui influencent la production, et ayant un système de réglage capable de dériver des grandeurs d'influence à partir de ces paramètres et de former des variables réglantes pour le métier à partir des grandeurs d'influence obtenues, où les paramètres qui sont reliés par une fonction mathématique univoque à une grandeur d'influence sont intégrés dans le système de réglage par des algorithmes conventionnels, caractérisé en ce qu'une station d'entrée de données est prévue servant à introduire d'autres paramètres qui ne sont pas mesurables ou mesurables qu'avec difficulté et en ce que les paramètres n'ayant pas de relation univoque avec une variable réglante sont inclus dans le système de réglage par une logique dite fuzzy d'un réglage fuzzy.
  2. Système selon la revendication 1, dont le système de réglage contient un élément de réglage relié aux capteurs et une commande (RS) pour le métier à filer recevant des variables réglantes, caractérisé en ce que le réglage fuzzy est disposé entre l'élément de réglage (ST) et la commande (RS).
  3. Système selon la revendication 2, caractérisé en ce que les paramètres non-mesurables sont introduits dans le réglage fuzzy selon la sensibilité humaine sous forme de groupements de différentes valeurs.
  4. Système selon la revendication 3, caractérisé en ce que lesdits paramètres non-mesurables sont formés par des facteurs d'ambiance ou de l'environnement et/ou par des facteurs définis subjectivement par le personnel d'exploitation.
  5. Système selon la revendication 4, caractérisé en ce que lesdits paramètres non-mesurables sont formés par la tendance à l'orage et/ou par la somme de travail.
  6. Système selon l'une des revendications 1 à 5, ou les variables réglantes obtenues agissent sur la commande du métier à filer et influencent sa vitesse de rotation, caractérisé en ce que des valeurs théoriques pour les paramètres et une plage admise pour la vitesse de rotation sont préscrites et en ce que le réglage de la vitesse de rotation se fait par pas.
EP94110331A 1993-07-14 1994-07-04 Système pour augmenter la production de métiers à filer Expired - Lifetime EP0634507B2 (fr)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
CH210893 1993-07-14
CH2108/93 1993-07-14
CH02108/93A CH687994A5 (de) 1993-07-14 1993-07-14 Vorrichtung zur Produktionssteigerung von Spinnereimaschinen.

Publications (3)

Publication Number Publication Date
EP0634507A1 EP0634507A1 (fr) 1995-01-18
EP0634507B1 true EP0634507B1 (fr) 1997-10-15
EP0634507B2 EP0634507B2 (fr) 2001-10-04

Family

ID=4226063

Family Applications (1)

Application Number Title Priority Date Filing Date
EP94110331A Expired - Lifetime EP0634507B2 (fr) 1993-07-14 1994-07-04 Système pour augmenter la production de métiers à filer

Country Status (11)

Country Link
US (1) US5511371A (fr)
EP (1) EP0634507B2 (fr)
JP (1) JP3536263B2 (fr)
CN (1) CN1048048C (fr)
AT (1) ATE159304T1 (fr)
BR (1) BR9402697A (fr)
CH (1) CH687994A5 (fr)
DE (1) DE59404316D1 (fr)
ES (1) ES2108340T3 (fr)
MY (1) MY130104A (fr)
TW (1) TW277080B (fr)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19537694A1 (de) * 1995-10-10 1997-04-17 Schenck Ag Carl Verfahren zur Überwachung einer Maschine oder Anlage
CH691687A5 (de) * 1995-12-20 2001-09-14 Schlafhorst & Co W Verfahren zum Ueberprüfen des Fadenprofils beim Anspinnen in einer Offenend-Spinnmaschine.
US6047275A (en) * 1997-10-14 2000-04-04 Allen-Bradley Company, Llc Fuzzy logic winder analyzer
US20070044627A1 (en) * 2005-08-26 2007-03-01 Clem Todd L Speed and stroke control method and apparatus for a product table of a food slicer
US20070044621A1 (en) * 2005-08-26 2007-03-01 Rote Scott J Top mounted operator interface for a food slicer
DE102017112080A1 (de) * 2016-06-15 2017-12-21 Rieter Ingolstadt Gmbh Verfahren zum Optimieren der Produktion einer Rotorspinnmaschine
WO2019227242A1 (fr) * 2018-05-28 2019-12-05 Uster Technologies Ag Installation à filer à anneaux automatique et procédé pour son fonctionnement automatique
JP7052683B2 (ja) * 2018-11-13 2022-04-12 株式会社豊田自動織機 紡機のスピンドル制御方法およびスピンドル制御装置
EP3828325A1 (fr) * 2019-11-29 2021-06-02 Saurer Intelligent Technology AG Poste de filage et machine à filer à jet d'air comprenant un tel poste de filage et procédé de détermination d'une défaillance de la résistance à la traction d'un fil

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE153709C (fr) *
US4974296A (en) 1990-02-23 1990-12-04 Platt Saco Lowell Corporation, Inc. Apparatus for correcting irregularities in a textile strand
CH683536A5 (de) * 1990-06-15 1994-03-31 Rieter Ag Maschf Ringspinn- oder Zwirnmaschine.
JP3075811B2 (ja) * 1991-11-12 2000-08-14 津田駒工業株式会社 ジェットルームの緯入れ制御装置
EP0548023A1 (fr) * 1991-12-17 1993-06-23 Maschinenfabrik Rieter Ag Commande de débit d'une ligne de nettoyage
DE4202352A1 (de) 1992-01-29 1993-08-05 Rieter Ingolstadt Spinnerei Verfahren und vorrichtung zur regulierung eines streckwerkes

Also Published As

Publication number Publication date
EP0634507B2 (fr) 2001-10-04
ATE159304T1 (de) 1997-11-15
CN1117534A (zh) 1996-02-28
DE59404316D1 (de) 1997-11-20
TW277080B (fr) 1996-06-01
MY130104A (en) 2007-06-29
EP0634507A1 (fr) 1995-01-18
ES2108340T3 (es) 1997-12-16
JPH0748739A (ja) 1995-02-21
JP3536263B2 (ja) 2004-06-07
BR9402697A (pt) 1995-04-04
CN1048048C (zh) 2000-01-05
CH687994A5 (de) 1997-04-15
US5511371A (en) 1996-04-30

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