Mathematical Modeling of Cutting Process Output Parameters for Production Technological Preparation and Adaptive Control of Turning and Milling in Digital Production Systems

2021 ◽  
pp. 1055-1063
Author(s):  
A. R. Ingemansson
Keyword(s):  
Mathematical Modeling ◽  
Adaptive Control ◽  
Production Systems ◽  
Cutting Process ◽  
Technological Preparation ◽  
Digital Production ◽  
Process Output

scholarly journals BASIC PATTERNS OF METHODOLOGY OF TECHNOLOGICAL PREPARATION OF PRODUCTION AND ADAPTIVE CONTROL IN DIGITAL PRODUCTION SYSTEMS FOR METALWORKING

2021 ◽  
pp. 15-18
Author(s):  
A. R. Ingemansson
Keyword(s):  
Adaptive Control ◽  
Production Systems ◽  
Technological Preparation ◽  
Metalworking Industry ◽  
Digital Production

In the article the basic patterns of developed methodology of technological preparation of production and adaptive control of stability and quality in automated metalworking industry are described.

scholarly journals THE CALCULATION DEPENDENCIES FOR THE CONTROL OF TURNING AND MILLING IN DIGITAL PRODUCTION SYSTEMS

2020 ◽  
pp. 26-30
Author(s):  
A. Ingemansson ◽  
Ju. Tchigirinsky ◽  
V. Zhukov
Keyword(s):  
Adaptive Control ◽  
Mathematical Models ◽  
Production Systems ◽  
Technological Preparation ◽  
Digital Production

The mathematical models for technological preparation of production and adaptive control of turning and milling in digital production systems are developed.

scholarly journals Cutting effectiveness increase at expense of adaptive control in digital production systems

2020 ◽  
Vol 0 (4) ◽  
pp. 39-48 ◽  
Author(s):  
Aleksandr Ingemansson
Keyword(s):  
Adaptive Control ◽  
Cutting Force ◽  
Production Systems ◽  
Mill Operation ◽  
Digital Production ◽  
Definition Of

The paper is dedicated to the development of solutions for cutting effectiveness increase at the expense of the potentialities use of modern NC automated equipment and these solutions application for the formation of digital production systems (DPS) for machining. There are developed computation formulae allowing the definition of cutting force values during turning and mill operation aimed for technological pre-production (TP) and for the adaptive control of NC equipment in DPSs.

scholarly journals THE ABILITY RESEARCH OF ADAPTIVE CONTROL OF SURFACE INTEGRITY DEFORMED CONDITION AND WORKING PERFORMANCE OF INSTRUMENTS IN DIGITAL PRODUCTION SYSTEMS

2020 ◽  
pp. 22-26
Author(s):  
A. Ingemansson
Keyword(s):  
Adaptive Control ◽  
Surface Integrity ◽  
Production Systems ◽  
Digital Production ◽  
Machined Parts ◽  
Working Performance

The ability of adaptive control of stability of machined parts surface integrity deformed condition and stability of working performance of cutting instruments in digital production systems is justified.

Optimization of adaptive network economic and mathematical modeling of business planning process control

2021 ◽  
Vol 57 (3) ◽  
pp. 110
Author(s):  
Andrey Shorikov
Keyword(s):  
Mathematical Modeling ◽  
Adaptive Control ◽  
Execution Time ◽  
Planning Process ◽  
Numerical Algorithms ◽  
Implementation Process ◽  
New Method ◽  
Function Evaluation ◽  
Business Planning ◽  
Planning Processes

The article is devoted to the application of economic and mathematical models of business planning management based on the use of the feedback principle. As the objective function (evaluation toolkit) of the task, the value of the execution time of the entire business project, which must be minimized, is considered. To solve this problem, it is proposed to form a class of admissible strategies for optimal adaptive control of the implementation process; as well as a specific business project using network economic and mathematical modeling is worked out. Within the limits of these strategies, the method of achieving optimal self-adjusting control of business planning processes is determined, the optimal execution time and the optimal timetable for the implementation of the project are determined. The main feature of the proposed new method is the ability to take into account the real conditions for the implementation works of the concrete project, which makes it possible to timely adjust the process of management of business planning and prevent disruptions in its implementation. This method also serves as the basis for constructing numerical algorithms for the development and creating the automated systems for realization of optimal adaptive control of business planning processes. The results obtained are illustrated on a specific business project for opening a public catering enterprise and show a high degree of efficiency in using the new method.

Digitale Produktion und intelligente Steuerung/Digital Production and Intelligent Production Control – Integrating digital and real-world production for adaptive and automated control

2020 ◽  
Vol 110 (04) ◽  
pp. 255-260
Author(s):  
Marvin Carl May ◽  
Andreas Kuhnle ◽  
Gisela Lanza
Keyword(s):  
Production Control ◽  
Production Systems ◽  
Industrie 4.0 ◽  
World Production ◽  
Production Planning And Control ◽  
Automated Control ◽  
Planning And Control ◽  
Digital Production ◽  
Digitale Modelle ◽  
And Control

Im Rahmen der stufenweisen Umsetzung von Industrie 4.0 erreicht die Vernetzung und Digitalisierung die gesamte Produktion. Den physischen Produktionsprozess nicht nur cyber-physisch zu begleiten, sondern durch eine virtuelle, digitale Kopie zu erfassen und zu optimieren, stellt ein enormes Potenzial für die Produktionssystemplanung und -steuerung dar. Zudem erlauben digitale Modelle die Anwendung intelligenter Produktionssteuerungsverfahren und leisten damit einen Beitrag zur Verbreitung optimierender adaptiver Systeme.   In the wake of implementing Industrie 4.0 both integration and digitalization affect the entire production. Physical production systems offer enormous potential for production planning and control through virtual, digital copies and their optimization, well beyond purely cyber-physical production system extensions. Furthermore, digital models enable the application of intelligent production control and hence contribute to the dissemination of adaptively optimizing systems.

scholarly journals Optimization of control program for CNC machines with regarding dynamic stability of cutting process and optimum modes of treatment in conditions of digital production

2018 ◽  
Vol 226 ◽  
pp. 04016
Author(s):  
Yuri G. Kabaldin ◽  
Dmitrii A. Shatagin ◽  
Pavel V. Kolchin
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Neural Networks ◽  
Dynamic Stability ◽  
Control Program ◽  
Cutting Process ◽  
Cnc Machines ◽  
Control Programs ◽  
Digital Production ◽  
Optimizing Control

The method for optimizing control programs for CNC machines based on artificial intelligence approaches, in particular, the apparatus of artificial neural networks, is outlined. A neural network model of the dynamic stability of the cutting process is proposed, which makes it possible to simulate the dynamics of the cutting process using the CAM system.

scholarly journals Adaptive Control of a Nonlinear Convertiplane under Conditions of Uncertainty

2020 ◽  
Vol 24 (3) ◽  
pp. 35-50
Author(s):  
S. F. Yatsun ◽  
O. V. Emelyanova ◽  
Andres Santiago Martinez Leon ◽  
Luis Miguel Mosquera Morocho
Keyword(s):  
Mathematical Modeling ◽  
Adaptive Control ◽  
Control System ◽  
Reference Model ◽  
Visual Contact ◽  
Hardware System ◽  
The Difference ◽  
Chemical Conditions ◽  
And Control ◽  
Physical And Chemical

Purpose of research. The article deals with the problem of monitoring water areas in order to control their physical and chemical conditions using a flying laboratory (FL) which includes an aircraft with attachable water intake equipment and a software and hardware system. A specific feature of the monitoring of surface waters is the unpredictable behavior of air and water, periodic absence of visual contact with the aircraft, the uncertainty of tricopter characteristics. Therefore, the purpose of this article is to study the parameters of the control system (CS) to meet the requirements for the accuracy of aircraft positioning in conditions of uncertainty of external parameters. Methods. Theoretical mechanics and robot mechanics methods were used to solve the set tasks. Methods for mathematical modeling of dynamic systems were used to study the patterns of convertiplane movement. Adaptive control with a reference model were used to plan and control the movement of the aircraft. Results. The use of adaptive FL motion control made it possible to ensure convergence to zero of the tracking errors i.e., the difference between the output signals and the reference model. The proposed control system gives a good result with small disturbing effects. The parameters of the regulator that ensure the quality indicators of the ACS within the specified limits are determined. Conclusion. A mathematical model was developed and mathematical modeling of the convertiplane movement under conditions of uncertainty of external influences was performed. The problem of parameter control of a convertiplane was considered when the control coefficients were available for setting. The developed algorithms in the adaptive control system made it possible to provide faster suppression of external disturbances in comparison with the traditional PID control system for the case of a linear description of the controlled object.

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