399 results about "Machine tool control" patented technology

The invention discloses a machine tool control method and system based on mechatronics, and the method comprises the steps: outputting an optimal cutting track sequence according to the three-dimensional model features and material attribute parameters of a machined workpiece; based on the optimal cutting track sequence, motion interference among shafts of the machine tool is eliminated through dynamic weight distribution, and an anti-interference optimization machining instruction is generated; constructing a nonlinear vibration wave propagation model according to the coupling relation between the spindle rotating speed and the feeding speed, and generating a steady speed regulation and control signal; generating an energy efficiency optimal parameter set including motor torque, cooling power and lubricating frequency based on the energy consumption efficiency constraint condition and the steady speed regulation and control signal; and outputting a closed-loop control signal and synchronously updating the three-dimensional machining precision thermodynamic diagram according to the real-time data in the machining process and the predicted deviation of the digital twin model. According to the embodiment of the invention, global optimization, dynamic adaptation and efficient operation of the machine tool can be realized, and technical support is provided for intelligent upgrading of the modern manufacturing industry.

The invention belongs to the technical field of numerical control machine tool machining, and particularly discloses a numerical control machine tool machining reference point correction method and system, a terminal and a medium. Based on the three-dimensional coordinate information, the actual position of a preset reference point on the machine tool is extracted and compared with a preset theoretical reference point, and a deviation value is calculated; executing coordinate deviation aggregation analysis according to the deviation value, and determining coordinate system correction parameters including a translation vector and a rotation matrix; the corrected parameters are issued to a numerical control machine tool control system, and a current workpiece coordinate system is updated; and after the coordinate system is updated, the machining task continues to be executed, the machining state is monitored in real time, and if it is detected that the deviation exceeds a threshold value, the measurement and correction process is automatically triggered again. Automatic correction of the reference point and real-time compensation of the workpiece coordinate system can be achieved, the machining precision is improved, manual intervention is reduced, and the method is suitable for high-precision numerical control machining scenes.

The invention relates to the technical field of numerical control machine tool control, in particular to a machining parameter automatic optimization method and system for a three-axis numerical control machine tool, and the method comprises the specific steps: collecting machine tool parameter data and workpiece parameter data, the machine tool parameter data comprises the current and voltage of the three-axis numerical control machine tool and the wear state of a cutter; the workpiece parameter data comprises workpiece scale, vibration, deflection and surface roughness; based on the machine tool parameter data and the workpiece parameter data, a physical information neural network is adopted to construct a three-axis numerical control machine tool digital twin model, real-time monitoring and feedback are carried out, and the machining efficiency and energy consumption are calculated; a numerical control machine tool machining process model and an energy consumption model are constructed based on the machining efficiency and the energy consumption, the machining efficiency is maximized and the energy consumption is minimized by using an optimization algorithm, the machining process model reflects quality efficiency indexes, and the energy consumption model reflects energy consumption characteristics; and through an optimization function obtained through the optimization algorithm, a control instruction execution module is constructed, and comprehensive factory control is covered.

The invention relates to the technical field of machine tool control, in particular to an electrolysis arc milling composite numerical control machine tool control method and system for case machining. The method comprises the steps that firstly, an electrolyte supply system, an electric arc generation system, a high-pressure water jet system and an ultrasonic vibration system are started in sequence, operation data are obtained, and rough machining parameters are calculated; in the rough machining process, the machining gap, the discharging state and the temperature are monitored in real time and compared with standard parameters, and correction values are calculated; after rough machining is completed and the electrolytic arc milling device is detached, the feeding speed and the spindle rotating speed are adjusted according to the correction value, and finish machining parameters are obtained; by electrolyzing electric arc corrosion materials and combining the synergistic effect of high-pressure water jet and ultrasonic vibration, efficient removal and accurate control of super-difficult-to-machine materials such as titanium alloy and high-temperature-resistant alloy in the machining process are achieved, and the machining efficiency and quality are improved.

The invention relates to the technical field of machine tool control, in particular to a machine tool thermal error compensation method and system based on data analysis. A machine tool thermal error compensation system based on data analysis comprises a data acquisition module, a machine tool thermal error analysis data construction module, a machine tool thermal error analysis module and a machine tool thermal error compensation module. The method comprises the following steps: acquiring a shaft temperature data set and vibration signal data of each shaft of the machine tool, current data at a servo motor of the machine tool, ambient temperature data around the machine tool and infrared images at the machine tool, and determining the running state of the machine tool under the assistance of multi-source data; weight distribution adjustment is carried out on the features related to the thermal error based on the operation state of the machine tool, the features strongly related to the thermal error under different working conditions are highlighted, the accuracy of thermal error analysis is improved, and then the thermal error compensation effect of the machine tool is improved.

The invention belongs to the technical field of numerical control machine tool control, and discloses a deep groove ball bearing ring grinding error compensation method and system, and the method comprises the steps: monitoring the temperature of a numerical control grinding machine body and a main shaft in real time through a plurality of temperature sensors, and obtaining the temperature field distribution data of a numerical control grinding machine; according to the numerical control grinding machine temperature field distribution data, the temperature gradient of each temperature measurement position is calculated; comparing each temperature gradient obtained by calculation with a preset temperature gradient threshold value, and judging whether a temperature measurement position with the temperature gradient exceeding the temperature gradient threshold value exists or not; when the temperature measurement positions with the temperature gradients exceeding the temperature gradient threshold exist, error compensation parameters of the numerical control system are determined according to the temperature gradients of all the temperature measurement positions, and the grinding machining track and grinding parameters are corrected; therefore, the grinding precision of the deep groove ball bearing ring can be improved.

The invention discloses a numerical control machine tool machining state monitoring method and device, and belongs to the technical field of digital machine tool control. The method comprises the following steps: step 1, constructing a double-layer sensing network system consisting of an environment layer and a machine tool layer, and realizing preliminary physical isolation of environment parameters and a machine tool thermal state; 2, forming a multi-dimensional parameter mapping library of environmental influence and self-heating; 3, decomposing the temperature change signal into a low-frequency environment component and a high-frequency processing thermal response component, respectively extracting environment characteristics and processing characteristics in the low-frequency environment component and the high-frequency processing thermal response component, and realizing real-time classification and decoupling of the temperature signal; 4, constructing a heat influence cross matrix, and quantitatively describing the influence degree and interaction effect of the environmental parameter change and the machine tool heating on the precision of each shaft; and 5, designing a dual-channel parallel compensation control mechanism based on an analysis result of the thermal influence cross matrix, generating a final compensation instruction, and implementing and executing the final compensation instruction to realize precision stable control.

The invention relates to the technical field of machine tool control, and provides a machine tool machining control method and system.The method comprises the steps that in the machine tool machining process, microenvironment parameters of a cutting area are obtained and monitored; obtaining a cutter type, a workpiece material attribute and a preset cutting parameter corresponding to the machine tool; based on the tool type, the workpiece material attributes and the preset cutting parameters, an initial judgment basis of the tool wear speed is established; according to the deviation between the microenvironment parameters and a preset standard value, the initial judgment basis is corrected, and the corrected tool wear speed is obtained; according to the actual tool abrasion loss, the rule for subsequently correcting the initial judgment basis is optimized; and based on the corrected tool wear speed, the tool remaining life is updated, and when tool wear reaches a preset threshold value, a compensation strategy of the cutting parameters or the tool path is decided and executed in combination with the value of the machined workpiece and the remaining machining task. The method has the effect of improving the prediction accuracy of the tool wear speed.

The invention relates to the technical field of machine tool control, in particular to a milling cutter positioning self-adaptive control method and system. Comprising the following steps: synchronously collecting structure state data and external environment parameters of a machine tool in a preset sampling period; based on the structure state data, the external environment parameters and thermal-structure and dynamic physical characteristic parameters of the machine tool, a positioning deviation prediction model is established in a preset look-ahead time window, and the future three-dimensional total positioning deviation of the milling cutter relative to the theoretical track is obtained; and a prospective compensation instruction opposite to the future three-dimensional total positioning deviation is generated according to the future three-dimensional total positioning deviation, and compensation motion of the milling cutter is achieved. The problem that in the prior art, in the long-time operation process of a machine tool, the actual position of a milling cutter deviates from a preset path due to an internal heat source, and an existing thermal error compensation model cannot accurately predict and deal with severe and local thermal shock caused by sudden change of an external environment, so that the machining precision is affected is solved.

The invention relates to a flexible combined machine tool control system. The system comprises a multi-channel user interface module, a servo parameter monitoring module, a workpiece coordinate system management module and the like. The multi-channel user interface module is associated with a work station by means of a dynamic binding technology, automatically generates an interactive interface according to configuration parameters and visually configures an enabling state. And the servo parameter monitoring module displays and adjusts the shaft motion parameters in real time and adjusts the shaft motion parameters on line, the deviation is corrected through a self-adaptive algorithm, coordinate synchronization of multiple workstations is achieved through the algorithm and a batch writing function, and mixed analysis of an NC program and a user-defined instruction is supported. The hardware abstraction layer module encapsulates a heterogeneous control card interface, dynamically allocates hardware resources, and coordinates time sequence linkage of each part by using a state machine model. The system also combines visual inspection to correct cutter compensation parameters, and double safety protection is set. According to the invention, the problem of low equipment cooperation efficiency in multi-station flexible processing is effectively solved, and the system compatibility and the processing precision are improved.

The invention relates to the technical field of precision manufacturing, and discloses a high-precision numerical control machine tool thermal error compensation method and system.The method comprises the steps that temperature data of key parts of a machine tool are collected in real time through a sensor array, and temperature distribution is generated through preprocessing; simulating a heat propagation path based on finite element analysis to obtain thermal deformation distribution; quantizing contribution values of multiple heat sources to cutter position offset by adopting a neural network model; when the contribution value exceeds a threshold value, activating a cooling system compensation mechanism to generate an offset correction amount; the correction is fused into a machine tool control system to optimize a tool path, and the thermal error model is dynamically updated based on the deviation between the actual machining position and the predicted deformation; and finally, a self-adaptive control strategy is generated in combination with the working condition parameters and the heat source contribution value, and accurate control over thermal errors is achieved through real-time feedback circulation. The method can solve the problem of low machine tool thermal error control precision in the prior art.

The invention discloses a face gear worm grinding machine error compensation method based on sensitivity analysis and a multi-source error mapping model, which comprises the following steps of: 1, constructing a multi-source error-tooth surface error mapping model based on a vector decomposition and truncation function method, the truncation function method is used for quantitatively describing propagation mechanisms of geometric errors and thermal errors in a machining chain and influences of the propagation mechanisms on tooth surface deviation, and high-order error terms are eliminated to improve calculation efficiency; 2, responding to the output of the mapping model, applying an improved Morris sensitivity analysis method, distributing a weighting coefficient higher than a geometric error component for a thermal error component, and calculating a weighting sensitivity coefficient so as to identify a key error component which has the greatest influence on the tooth surface precision; and 3, based on the key error component, a motion axis compensation value is generated through an error compensation model, and the compensation value is input into a machine tool control system to adjust the relative position of the worm grinding wheel and the workpiece, so that the tooth surface error is reduced.

The invention provides a spindle constant-temperature AI closed-loop heat engine system, and relates to the technical field of numerical control machine tool control and heat management. The invention aims to solve the problems of response lag, uncontrollable thermal stress, single heating strategy and the like of the traditional spindle heat engine method. The system comprises a multi-dimensional thermal state sensing module used for constructing a multi-node discrete temperature field representing the overall thermal distribution of the main shaft; the real-time heat balance feedback module is used for judging the cold / hot starting state of the main shaft according to the initial temperature difference and executing a differentiated feedback control strategy; and an AI prediction forward compensation module that predicts a future cutting thermal load by pre-reading a machining instruction and generates a feedforward thermal compensation instruction. According to the method, the thermal stress is controlled by introducing the radial thermal gradient index as the safety constraint, negative precooling or positive preheating is achieved in combination with the AI predictive capacity, a feedback and feedforward composite control mode is formed, and the dynamic thermal stability and the machining precision of the main shaft under the complex working condition are improved.

The invention discloses a multi-axis linkage numerical control machine tool control system, which comprises a cutter adjusting module, which is used for carrying out parameter adjustment according to first state data, second state data and third state data to obtain fourth state data of a cutter; the trajectory planning module is used for simulating motion trajectories of a plurality of shafts according to the fourth state data by utilizing simulation software, and performing precision compensation on the motion trajectories of the shafts; and the risk prevention module is used for predicting the first risk and the second risk and implementing prevention measures. The angle and the cutting speed of the cutter are adjusted in a self-adaptive mode, the cutter is matched with the curvature of the surface of the workpiece, so that the flatness of the machining face is improved, the situation that the extrusion force of the cutter on the workpiece is too large is avoided, deformation, except for cutting, of the workpiece is prevented, and the machining precision is improved. A plurality of main shafts and slave shafts are subjected to analog simulation, the cutting angle and the cutting speed of the cutter are further adjusted according to the simulation result, and safe operation of equipment is guaranteed on the premise that the machining precision is guaranteed.

The invention discloses a head-to-head horizontal processing machine tool control method and a machine tool, and belongs to the technical field of machine tool processing. The butt horizontal machining tool control method comprises the following steps that S1, a first path machining program of a first horizontal machining center is established, and the first path machining program is used for controlling the first horizontal machining center to machine a workpiece; establishing a second path machining program of a second horizontal machining center, wherein the second path machining program is used for controlling the second horizontal machining center to machine the workpiece; meanwhile, a tool management mechanism is established. According to the butt horizontal machining tool control method and the machine tool, two faces of a workpiece can be machined at a time, the clamping frequency is reduced, machining stations are increased, and the machining precision error of the two faces of the same workpiece is small. The two horizontal machining centers share one set of linear tool magazine, the tool changing action is stable and reliable, the tool changing speed is high, and the equipment space is reduced.

A controller of a machine tool determines in accordance with a machining program whether a first tool post is used to machine an unfinished workpiece. When the unfinished workpiece needs machining before terminating a continuous machining and when the controller determines that the first tool post is used to machine the unfinished workpiece W2, the controller simultaneously advances a first system and a second system in accordance with the machining program while preventing machining a workpiece held by the first spindle. When the controller determines that the first tool post is not used to machine the unfinished workpiece, the controller stops the first system and advances the second system in accordance with the machining program.

The invention discloses a configuration computer numerical control method for a five-axis linkage machine tool and a control system, and relates to the technical field of machine tool control. The method comprises the steps that in the process that the five-axis linkage machine tool machines a target workpiece, the movement cumulant, the average feeding speed and the average feeding amount resistance in the movement axis direction of all movement axes of the five-axis linkage machine tool at all moments are obtained; for each moving axis, determining a load factor of the moving axis at each moment based on the moving cumulant, the average feeding speed and the average feeding amount resistance at each moment; based on the load factor of each moving shaft at each moment, analyzing the change trend of the load factor of each moving shaft, and determining a correction weight in the direction of each moving shaft; and on the basis of the correction weights, machining compensation is carried out on the directions of the moving shafts, so that the machining process of the target workpiece is corrected. The high-precision machining requirement can be met, and the workpiece machining quality is effectively improved.

The invention relates to the technical field of numerical control machine tool control, and discloses a numerical control rotary table precision compensation method and system based on digital twinning. The method comprises the following steps: constructing a digital twin model of the numerical control rotary table for simulating a deformation behavior under a thermal-mechanical coupling effect; multi-source physical field sensing data such as bearing temperature, servo motor current and rotary table angular displacement are collected in real time; the digital twin model is driven by the sensing data to perform thermal-mechanical coupling simulation, and a comprehensive error prediction value is obtained; generating a compensation trigger signal based on a comparison result of the error prediction value and a preset threshold value; in response to the trigger signal, generating an axis motion feed-forward compensation instruction through inverse kinematics calculation; and the compensation instruction and the original machining instruction are executed after being superposed. Dynamic prediction and active compensation of the precision of the numerical control rotary table are achieved, and the machining precision and stability are effectively improved.

The invention provides a numerical control machine tool intelligent control method and device combined with error analysis and a storage medium, and relates to the technical field of numerical control machine tool intelligent control. Setting U error hiding mode starting points and V error hiding mode ending points; performing propagation simulation according to error state transition, and simulating an error hidden cumulative map; configuring U error hiding mode starting points by using equipment basic data, performing propagation path simulation in an error hiding cumulative map, and obtaining M error simulation propagation paths; identifying a key error source sequence with the influence on the machining precision from large to small; setting an error compensation strategy and sending the error compensation strategy to the numerical control machine tool terminal for compensation control. The technical problems that in the prior art, deep analysis on an error propagation path is lacked, and the control precision of a numerical control machine tool is low are solved, and the technical effect that the control precision is improved by combining error analysis and a corresponding compensation strategy is achieved.

The invention discloses an intelligent machine tool control method and system based on big data analysis, and the method comprises the steps: collecting a key parameter set of a machining technology, decomposing a vibration signal in a machining process through combining successive variational mode decomposition (SVMD), and extracting the modal frequency, amplitude and fluctuation characteristics of the signal; the method comprises the following steps: on the basis of a BiLSTM-Enhanced Transformer (BET) model, capturing a nonlinear relationship between a key parameter set of a processing technology and carbon emission, economic cost and vibration loss, training an optimal parameter model by adopting an improved energy valley optimization algorithm IEVO, and constructing an IEVO-BET machine tool intelligent control system; a key parameter set of a machining process is used as input, adjustable variables of the machining process are adjusted in real time through the synergistic effect of an IEVO model and a BET model, and multivariable control over carbon emission, energy consumption and economic cost in the machining process of a machine tool is achieved. The intelligent and real-time machine tool control requirements under different process requirements are met, carbon emission is effectively reduced, the production efficiency is improved, and the product quality and the sustainability of the machine tool performance are enhanced.

The present invention relates to the field of numerical control machine tool control technology, and particularly relates to a high-precision multi-axis machining composite numerical control machine tool control system, including: a collection module; a prediction module respectively determines a radius time series curve and a length time series curve according to the tool radius and the tool length, and constructs a tool wear prediction model in combination with the vibration amplitude and the preset movement path of the tool; an analysis module determines the tool wear degree according to the tool wear prediction model, and determines the critical influence path segment and the non-critical influence path segment according to the vibration amplitude; an optimization module determines the correction direction and the path correction amount according to the critical influence path segment, the non-critical influence path segment and the tool wear degree to determine the new tool movement path, and determines the adjustment method for the cutting speed / feed speed according to the tool wear degree. The present invention incorporates tool wear into the dynamic adjustment mechanism of the path, improving the machining accuracy.

The embodiment of the invention provides a numerical control machine tool control method and device, computer equipment and a storage medium. The method comprises the steps that in the process of controlling the numerical control machine tool to execute workpiece machining based on plan control data, actual machining state data of the numerical control machine tool are acquired; wherein the plan control data comprises control parameters of each stage after the processing rhythm is divided into a plurality of stages; performing comparative analysis on the actual processing state data and expected processing state data corresponding to the plan control data to obtain difference characteristic data corresponding to each stage; adjusting plan control data according to the difference characteristic data, and controlling the numerical control machine tool to execute the process of machining the workpiece based on the adjusted plan control data. By acquiring the actual machining state data of the numerical control machine tool in real time and comparing and analyzing the actual machining state data with the planned control data, the difference characteristic data in the machining process can be recognized in time, so that the control parameters are dynamically adjusted, and the machining precision and efficiency are improved.

The invention relates to the technical field of numerical control machine tool control, in particular to a numerical control machine tool axial positioning control method and system. The method comprises the following steps: driving a servo motor to execute reverse clearance compensation motion; the synchronous sampling period obtains a position signal and a load current signal; performing composite judgment based on the position signal and the load current signal: judging whether the variable quantity of the position signal along the instruction direction reaches a preset position threshold value or not, and judging whether the increment of the load current signal relative to the reference current value reaches a preset current threshold value or not; when all items are compositely judged to be met at the same time, it is judged that the mechanical clearance is eliminated, reverse clearance compensation motion is terminated, and a double-closed-loop axial positioning control mode is switched; and when any one item is not satisfied through composite judgment, keeping the reverse clearance compensation motion. The problems that when the numerical control lathe rotates reversely in the axial movement direction for clearance compensation, compensation is not accurate, a workbench continuously wriggles near the target position, and the machining precision is affected are solved.

A technique for preventing a coolant from adhering to a discharge inhibited portion is provided. A machine tool capable of machining a workpiece includes: a first discharge unit that discharges the coolant removing a chip of the workpiece; a portion inside the machine tool and to which the coolant should not be discharged; a first drive unit that changes a relative position between the first discharge unit and the portion; and a control unit that controls the machine tool. The control unit performs processing for recognizing a position in the machine tool of a moving object by the first drive unit between the first discharge unit and the portion, and processing for controlling the discharge of the coolant by the first discharge unit such that the coolant is not discharged to the portion based on the position recognized in the recognition processing.

A technique for preventing a coolant from adhering to a discharge inhibited portion is provided. A machine tool capable of machining a workpiece includes: a first discharge unit that discharges the coolant removing a chip of the workpiece; a portion inside the machine tool and to which the coolant should not be discharged; a first drive unit that changes a relative position between the first discharge unit and the portion by moving at least one of the first discharge unit and the portion; and a control unit that controls the machine tool. The control unit performs processing for recognizing a position in the machine tool of a moving object by the first drive unit between the first discharge unit and the portion, and processing for controlling the discharge of the coolant by the first discharge unit such that the coolant is not discharged to the portion based on the position recognized in the recognition processing.

The invention provides a digital twinning five-axis machine tool kinematics transformation method, system and device and a medium, and belongs to the field of numerical control technology and digital twinning crossing technology. The method comprises the steps that axis parameters are collected from a five-axis machine tool controller; constructing a unified five-axis parameter set comprising axis types, axis reference points and direction vectors; a hierarchical homogeneous transformation chain is constructed in a machine tool base coordinate system based on the parameter set, and forward kinematics transformation from a mechanical coordinate system to a workpiece coordinate system is achieved; and based on the unified parameter set and the transformation chain, reversely solving an axis position vector from a tool position instruction of the workpiece coordinate system and mapping the axis position vector back to a controller coordinate. By adopting the digital twin five-axis machine tool kinematics transformation method, system and equipment and the medium, the problems of poor model reusability and inconsistent virtual-real mapping caused by machine tool structure difference and numerical control system diversity are solved, cross-platform and cross-model general reversible kinematics transformation is realized, and the method has the advantages of high practicability and high practicability. And the engineering applicability and deployment efficiency of the digital twin model are improved.

A numerical control system 1 is provided with: a numerical control device 5 including a machine tool control module 50; a robot controller 6 including a robot control module 60 for controlling the movement of a robot 3; and a variable storage unit 58 for storing the values of a plurality of variables that can be read and written by both modules 50, 60. The machine tool control module 50 reads the value of a second variable stored in a second storage area 582 of the variable storage unit 58, controls the movement of a machine tool 2 on the basis of the value that has been read, and rewrites the value of a first variable stored in a first storage area 581, and the robot control module 60 reads the value of the first variable, controls the movement of the robot 3 on the basis of the value of the first variable that has been read, and rewrites the value of the second variable.

The invention relates to the field of machine tool control, in particular to a gantry machine tool double-drive feeding error compensation method which comprises the steps that instruction acceleration and machining path curvature at a target moment are obtained, and the target moment is any sampling moment; calculating an asymmetric driving induction state index at the target moment based on the instruction acceleration at the target moment and the preset maximum acceleration of the machine tool, and calculating a cross beam torsional strain pre-estimation index based on the asymmetric driving induction state index, the machining path curvature and the obtained gantry cross beam span; and a gain modulation factor is constructed based on the beam torsional strain estimation index, the gain modulation factor is used as a correction factor to correct the calibrated basic coupling gain to obtain a dynamic coupling gain, the adaptive synchronous compensation amount is calculated according to the dynamic coupling gain, and a feed error compensation closed loop is completed. Through the technical scheme of the invention, the precision of an error compensation result can be improved.

1. Name of the Design Product: Graphical User Interface for Controlling Numerical Control Machine Tools of Electronic Devices. 2. Use of the Design Product: Display information and run programs. 3. Design Key Points of the Design Product: Lie in the graphical user interface in the electronic device. 4. Picture or Photograph Best Showing the Design Key Points: Front View. 5. Use of the Graphical User Interface: Display the numerical control machine tool operation interface. 6. Human-Machine Interaction Method of the Graphical User Interface: The front view is the login interface. After entering the user name and password and clicking "Login", it enters the variant state diagram 1; clicking "Load File F1" enters the variant state diagram 2; clicking "Program View F2" enters the variant state diagram 3; clicking "Start Option" enters the variant state diagram 4; clicking "Tool Selection" enters the variant state diagram 5; clicking "Pattern Selection" enters the variant state diagram 6; clicking "Free Box Selection" enters the variant state diagram 7; clicking "Program Zero Point" enters the variant state diagram 8; clicking "Upper PIN" enters the variant state diagram 9; clicking "Settings" enters the variant state diagram 10; clicking "Forming Analysis" enters the variant state diagram 11; clicking "Errors and Warnings" enters the variant state diagram 12; clicking "System Diagnosis F3" enters the variant state diagram 13; clicking "Input" enters the variant state diagram 14; clicking "Output" enters the variant state diagram 15; clicking "Tool Management F11" enters the variant state diagram 16; clicking "Parameters" enters the variant state diagram 17; clicking "Dynamic Parameters" enters the variant state diagram 18; clicking "Tolerance" enters the variant state diagram 19; clicking "Tool Measurement" enters the variant state diagram 20; clicking "Broken Tool" enters the variant state diagram 21; clicking "Diameter Table" enters the variant state diagram 22; clicking "Index Table" enters the variant state diagram 23; clicking "Tool Length Calibration" enters the variant state diagram 24; clicking "Tool Diameter Calibration" enters the variant state diagram 25; clicking "Job Interface F5" enters the variant state diagram 26; clicking "Custom Function" enters the variant state diagram 27; clicking "Incremental Key" enters the variant state diagram 28; clicking "Z Plane" enters the variant state diagram 29; clicking "Processing Status" enters the variant state diagram 30; clicking "Mark" enters the variant state diagram 31; clicking "User Mark" enters the variant state diagram 32; clicking "Shift" enters the variant state diagram 33.

Machine tool control device for driving a feed axis or a main axis by a motor, comprising: a feedback counter (1) for receiving A- and B-phase signals of square waves or sine waves and a 1-revolution signal generated each time the motor or main axis completes one revolution, wherein the A and B phase signals and the 1-revolution signal are provided by a sensor for detecting the position or speed of the driven axis or of the motor to calculate a feedback count, which is a count of the number of feedback pulses generated by the A and B phase signals; a feedback count storage unit (2) for storing an inter-1-revolution signal feedback count, which is the feedback count counted between two sequential 1-revolution signals; a reference value storage unit (3) for storing an abnormality determination reference value for determining the presence or absence of an abnormality according to the inter-1-revolution signal feedback count value; and an abnormality cause determination unit (4) for determining the cause of the abnormality by comparing the inter-1-revolution signal feedback count value with the abnormality determination reference value, wherein, when the inter-1-revolution signal feedback count is higher than the anomaly determination reference value and a difference between the inter-1-revolution signal feedback count and an inter-1-revolution signal feedback count in the normal case corresponds to an integer multiple of an error calculated from the number of pulses or waves of the A- and B-phase signals per revolution, the anomaly cause determination unit (4) determines that noise is disturbing the A- and B-phase signals; and if the difference is not an integer multiple of the error, the abnormality cause determination unit (4) determines that there is an abnormality in the 1-turn signal.