Fuzzy Controllers in the Adaptive Control System of a CNC Lathe

Traditional approaches to improving the technological system of CNC metal-cutting machines include increasing the rigidity, periodic maintenance and repair of its components, and operating at lower speeds. In practice, the most economical approach is stabilization of the inputs to the system. The de...

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Bibliographic Details
Published in:Russian engineering research 2018-03, Vol.38 (3), p.220-222, Article 220
Main Authors: Proskuryakov, N. A., Nekrasov, R. Yu, Starikov, A. I., Solov’ev, I. V., Barbyshev, B. V., Tempel’, Yu. A.
Format: Article
Language:English
Subjects:
ACCURACY
Adaptive control
Computer simulation
CONTROL SYSTEMS
Controllers
CUTTING
Cutting equipment
Cutting force
Cutting forces
CUTTING MACHINES
Cutting parameters
EFFICIENCY
ENGINEERING
Engineering Design
Fuzzy control
FUZZY LOGIC
Fuzzy systems
LATHES
Machine tools
MAINTENANCE
METALS
Numerical controls
PRODUCTIVITY
Proportional integral derivative
REPAIR
SIMULATION
STABILIZATION
System effectiveness
Tool life
Turning (machining)
VELOCITY
Working conditions
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Summary:Traditional approaches to improving the technological system of CNC metal-cutting machines include increasing the rigidity, periodic maintenance and repair of its components, and operating at lower speeds. In practice, the most economical approach is stabilization of the inputs to the system. The development of adaptive control systems with stabilization of the cutting forces improves the precision and quality of machining in CNC metal-cutting machines, the productivity, and tool life. However, classical PID controllers are only effective in stabilizing the cutting forces in such systems if continuous real-time parameter adjustment is possible. That sharply increases the complexity of the controller. A new mathematical apparatus based on artificial intelligence (including fuzzy logic) permits the solution of adaptive control problems that previously could hardly even be formulated. The present work addresses the use of fuzzy logic in automatic stabilization of the cutting force for CNC lathes. Simulation of a fuzzy controller shows that this approach to automatic stabilization of the cutting force increases the machining efficiency on existing equipment with indeterminacy in the characteristics of the cutting system and the working environment.
ISSN:1068-798X
1934-8088
1934-8088
DOI:10.3103/S1068798X18030188