EP0634507A1 - 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
EP0634507A1
EP0634507A1 EP94110331A EP94110331A EP0634507A1 EP 0634507 A1 EP0634507 A1 EP 0634507A1 EP 94110331 A EP94110331 A EP 94110331A EP 94110331 A EP94110331 A EP 94110331A EP 0634507 A1 EP0634507 A1 EP 0634507A1
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EP
European Patent Office
Prior art keywords
control
parameters
speed
variables
fuzzy
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Granted
Application number
EP94110331A
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German (de)
English (en)
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EP0634507B2 (fr
EP0634507B1 (fr
Inventor
Christoph Kaufmann
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Zellweger Luwa AG
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Zellweger Luwa AG
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    • D—TEXTILES; PAPER
    • D01—NATURAL OR MAN-MADE THREADS OR FIBRES; SPINNING
    • D01H—SPINNING OR TWISTING
    • D01H13/00—Other common constructional features, details or accessories
    • D01H13/32—Counting, 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 that influence production, and with a control system 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.
  • this object is achieved in that further parameters, in particular parameters that are difficult to measure or difficult to measure, can be entered, and that those parameters that have no clear mathematical connection with the respective controlled variable are included in the control by means of fuzzy logic .
  • 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 representation 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 therefrom. 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 a 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, 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 also referred to as the central unit in the USTER RINGDATA data system
  • 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 also on subjective and individual parameters of the operating personnel , such as its workload.
  • influencing factors such as climate, airborne dust, air flow or also 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 ring spinning machine runs at time t 1 at a speed D 1, the yarn break rate being just above the target thread break level FB s .
  • the thread break rate exceeds the limit FB s + 5%, whereupon the speed is reduced by the set amount.
  • the limit FB s exceeds + 10%, and since the time t2-t1 is greater than the set drag interval, the speed D is reduced again by the set amount at this time, and so further.
  • 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)
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
CH02108/93A CH687994A5 (de) 1993-07-14 1993-07-14 Vorrichtung zur Produktionssteigerung von Spinnereimaschinen.
CH2108/93 1993-07-14
CH210893 1993-07-14

Publications (3)

Publication Number Publication Date
EP0634507A1 true EP0634507A1 (fr) 1995-01-18
EP0634507B1 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)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3666943A1 (fr) * 2018-11-13 2020-06-17 Kabushiki Kaisha Toyota Jidoshokki Procédé de commande d'une broche d'un métier à filer et dispositif de commande de broche
US20220403562A1 (en) * 2019-11-29 2022-12-22 Saurer Intelligent Technology AG Spinning unit and air jet spinning machine having such a spinning unit

Families Citing this family (7)

* 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
US20070044621A1 (en) * 2005-08-26 2007-03-01 Rote Scott J Top mounted operator interface for a food slicer
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
DE102017112080A1 (de) * 2016-06-15 2017-12-21 Rieter Ingolstadt Gmbh Verfahren zum Optimieren der Produktion einer Rotorspinnmaschine
CN112203962B (zh) * 2018-05-28 2022-11-01 乌斯特技术股份公司 自动环锭纺纱系统及其自动操作方法

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0548023A1 (fr) * 1991-12-17 1993-06-23 Maschinenfabrik Rieter Ag Commande de débit d'une ligne de nettoyage
EP0553483A1 (fr) 1992-01-29 1993-08-04 Rieter Ingolstadt Spinnereimaschinenbau AG Procédé et dispositif pour le contrôle d'un système d'étirage

Family Cites Families (4)

* 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

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0548023A1 (fr) * 1991-12-17 1993-06-23 Maschinenfabrik Rieter Ag Commande de débit d'une ligne de nettoyage
EP0553483A1 (fr) 1992-01-29 1993-08-04 Rieter Ingolstadt Spinnereimaschinenbau AG Procédé et dispositif pour le contrôle d'un système d'étirage

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
M.F.YEUNG, K.W.SUM: "An on-line intelligent control scheme for tension control", FIRST INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS ENGINEERING, 19.-21. AUGUST 1992, EDINGBURGH, pages 244 - 249 *
TOSHIRO TERANO, KIYOJI ASAI, MICHIO SUGENO: "fuzzy systems theory and its applications", 1991, ACADEMIC PRESS, INC. HARCOURT BRACE JOVANIVICH, BOSTON *
ZELLWEGER USTER: "Die Erfassung der Fadenbrüche in der Ringspinnerei", USTER NEWS BULLETIN, no. 27, August 1979 (1979-08-01), pages 1 - 15 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3666943A1 (fr) * 2018-11-13 2020-06-17 Kabushiki Kaisha Toyota Jidoshokki Procédé de commande d'une broche d'un métier à filer et dispositif de commande de broche
US20220403562A1 (en) * 2019-11-29 2022-12-22 Saurer Intelligent Technology AG Spinning unit and air jet spinning machine having such a spinning unit

Also Published As

Publication number Publication date
TW277080B (fr) 1996-06-01
EP0634507B2 (fr) 2001-10-04
US5511371A (en) 1996-04-30
JPH0748739A (ja) 1995-02-21
BR9402697A (pt) 1995-04-04
EP0634507B1 (fr) 1997-10-15
MY130104A (en) 2007-06-29
JP3536263B2 (ja) 2004-06-07
ATE159304T1 (de) 1997-11-15
CN1117534A (zh) 1996-02-28
CN1048048C (zh) 2000-01-05
DE59404316D1 (de) 1997-11-20
ES2108340T3 (es) 1997-12-16
CH687994A5 (de) 1997-04-15

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