Patent DE-102006014475-A1 (DE)
Title: Procedure for controlling a spinning preparation machine e.g. carding engine, drawing frame/rotor spinning machine, by determining input variables of a control device of the spinning machine so that parameter of the machine is optimized
Inventor: WIEDE CORINNA
IPC: G06N3/06
Filed: 2006-03-29
Abstract: The procedure for controlling a spinning preparation machine e.g. a carding engine, drawing frame or a rotor spinning machine, comprises determining input variables (REP, RI) of a control device of the spinning machine so that parameter (CV%) of the textile goods produced by the spinning machine is optimized. The implied input variables are determined by a neuronal network in dependence of influencing variables (EG, VE, VV, VVD, HVD), which influence the effect of the implied input variables on implied parameter. The procedure for controlling a spinning preparation machine e.g. a carding engine, drawing frame or a rotor spinning machine, comprises determining input variables (REP, RI) of a control device of the spinning machine so that parameter (CV%) of the textile goods produced by the spinning machine is optimized. The implied input variables are determined by a neuronal network in dependence of influencing variables (EG, VE, VV, VVD, HVD), which influence the effect of the implied input variables on implied parameter. Each implied influencing variable of an assigned neuron is fed to an input layer of the neuronal network as input neuron variables. The implied influencing variable is standardized before it is brought to the assigned neurons of the input layer. Each implied input variables is delivered in standardized form by the assigned neurons to input layer of the neuronal network as output neuron variables. The implied neuronal network has a covered layer with covered neurons. In the neuronal network, each neuron of a layer is connected with each neuron of an adjacent layer and all connections are arranged between the neurons of a variable weight. The implied input variables are determined periodically or continuously through foreword propagation of the influencing variable in an operational phase of the spinning machine during varying the implied influencing variables. The implied input variables are automatically transmitted after its determination for control device of the spinning machine. Records are produced in an external learning phase. Each record consists of values of implied influencing variable and/or empirically determined values of the implied input variables, which lead in each value of the implied influencing variable to an optimal value of the parameter. The neuronal network is formed in an externally operating learning phase through reverse propagation. In the learning phase, the variable weight of the connection between the neurons is adjusted. The neuronal network is worked in the learning phase through supervised learning. In an externally operating test phase, the unit of the neuronal network determines and is verified the value of the implied input variables consulted for controlling the spinning machine. In the value of the implied input variables, different test values are used for the implied input variables to receive a measurement result of a parameter of the produced textile goods. The records are produced for the training of the neuronal network. The neuronal network is manually or automatically given for the determination of implied input variables and influencing variable through a sensor device and/or a computing device of the spinning machine or a system control. The implied influencing variable is a material variable that represents the material properties submitting the spinning machine e.g. thread type, thread length, a quality significant parameter and/or the type of pretreatment, is an environment variable that represents the characteristics of the environment e.g. ambient temperature and/or ambient humidity, and is a process parameter that represents the characteristics of the textile machine e.g. drawing-in speed, web tension, predistortion, main draft distance of a stretching unit of the textile machine and/or position of band redirection poles attached to the stretching unit. The implied input variable is standard trigger point, regulation intensity or a contact pressure of an upper roll or a roll pair of the stretching unit. The implied parameter is a quality significant parameter e.g. a parameter value or a thread volume drawn by the stretching unit. The input variable is determined by the neural network, which is separately realized by the textile machine or integrated in the textile machine and which is formed as a software or hardware control evaluation device or its part. Independent claims are included for: (1) a device for controlling a spinning preparation machine; and (2) a spinning preparation machine. .