Using Fuzzy Control for Feed Rate Scheduling of Computer Numerical Control Machine Tools

Cheng, Lin; Lin, Chun Hui; Wang, Shyh-Hau

doi:10.3390/app11104701

Cited by 7 publications

(5 citation statements)

References 18 publications

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“…Otherwise, the ring’s offset can be restrained rapidly, but the ring’s circularity will become worse. Therefore, the regulating variable of the axial roll’s rotational speed w a is processed by the recursive average filtering algorithm and imposed on the inverter motor of the axial rolls in the form of control command; thus, the ring’s offset can be restrained gradually [ 28 ].…”

Section: Methodsmentioning

confidence: 99%

Numerical Simulation of Intelligent Fuzzy Closed-Loop Control Method for Radial–Axial Ring Rolling Process of Super-Large Rings

et al. 2022

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During the radial–axial ring rolling (RARR) process of super-large rings, abnormal deformation states such as instability and out of circularity often lead to rolling termination and quality fluctuation of ring products. In this work, an intelligent fuzzy closed-loop control method for RARR process of super-large rings is proposed, i.e., the ring’s offset adaptive fuzzy control (ROAFC) based on the regulation of the axial roll’s rotational speed and the ring’s circularity fuzzy control (RCFC) based on the regulation of the mandrel’s feed speed. In addition, a recursive average filtering algorithm is added to smooth the axial roll’s rotational speed and the mandrel’s feed speed according to the actual situation. Using the ABAQUS/Explicit software and its subroutine VUAMP, the intelligent fuzzy controller of the ring’s offset and circularity in the RARR process is designed, and the finite element (FE) model for RARR process of a Φ10 m super-large ring with an integrated intelligent fuzzy control algorithm is established. The variation laws of the ring’s offset and circularity error in the RARR process are studied with regard to different control methods such as conventional planning control (CPC), ROAFC, RCFC, and comprehensive control of ROAFC combined with RCFC (ROAFC + RCFC). The results obtained show that, compared with the CPC, the ring’s offset is reduced by 84.6% and the circularity error is decreased by 51.9% in the RARR process utilizing comprehensive control of ROAFC + RCFC. The research results provide methodological guidance for realizing the intelligent forming of super-large rings.

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Section: Methodsmentioning

confidence: 99%

Numerical Simulation of Intelligent Fuzzy Closed-Loop Control Method for Radial–Axial Ring Rolling Process of Super-Large Rings

et al. 2022

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“…Accurately capture and process the in situ spatial information from a controller Improve the accuracy of voxel models of the workpiece-in-process [18][19][20][21][22] Process planning Ensure the accuracy of positioning, tool path planning, and efficiency for blend features Precise micro process planning for generating machining instructions [23][24][25][26] Process monitoring High cost and high probability of damage to UPM system Improve product quality under the dynamic change of the machining condition [27][28][29][30] Vibration control Call for multi-physics modeling techniques as well as real-time controlling.…”

Section: Voxel Modelingmentioning

confidence: 99%

“…For instance, Tanaka [26] proposed a digital twin of UPM equipment in cyberspace to collect both real and virtual machining data to derive the necessary rules for micro-process planning. Lin et al [24] proposed a fuzzy control system for feed rate scheduling based on the data from an optical three-dimensional scanner to measure the cutting trajectory, curvature, and curvature variation. Dhanda et al [23] presented an efficient tool path planning strategy using curvature-based segmentation of freeform surface from its representation in the form of a point cloud to partition the surface into convex, concave, and saddle-like regions.…”

Section: Digital Twins-based Process Planningmentioning

confidence: 99%

Digital Twins-Based Smart Design and Control of Ultra-Precision Machining: A Review

Leng

2021

Symmetry

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Ultra-Precision Machining (UPM) is a kind of highly accurate processing technology developed to satisfy the manufacturing requirements of high-end cutting-edge products including nuclear energy producers, very large-scale integrated circuits, lasers, and aircraft. The information asymmetry phenomenon widely exists in the design and control of ultra-precision machining. It may lead to inconsistency between the designed performance and operational performance of the UPM equipment on stiffness, thermal stability, and motion accuracy, which result from its design, manufacturing, and control, and determine the form accuracy and surface roughness of machined parts. The performance of the UPM equipment should be improved continuously. It is still challenging to realize the real-time and self-adaptive control, in which building a high-fidelity and computationally efficient digital twin is a valuable solution. Nevertheless, the incorporation of the digital twin technology into the UPM design and control remains vague and sometimes contradictory. Based on a literature search in the Google Scholar database, the critical issues in the UPM design and control, and how to use the digital twin technologies to promote it, are reviewed. Firstly, the digital twins-based UPM design, including bearings module design, spindle-drive module design, stage system module design, servo module design, and clamping module design, are reviewed. Secondly, the digital twins-based UPM control studies, including voxel modeling, process planning, process monitoring, vibration control, and quality prediction, are reviewed. The key enabling technologies and research directions of digital twins-based design and control are discussed to deal with the information asymmetry phenomenon in UPM.

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“…The high-order FLSs such type-2 (T2) FLSs are extensively used in the problems with high-level uncertainties [26,27]. However, these methods have been rarely applied on MASs.…”

Section: More Related Workmentioning

confidence: 99%

A New Event-Triggered Type-3 Fuzzy Control System for Multi-Agent Systems: Optimal Economic Efficient Approach for Actuator Activating

et al. 2021

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This study presents a new approach for multi-agent systems (MASs). The agent dynamics are approximated by the suggested type-3 (T3) fuzzy logic system (FLS). Some sufficient conditions based on the event-triggered scheme are presented to ensure the stability under less activation of the actuators. New tuning rules are obtained for T3-FLSs form the stability and robustness examination. The effect of perturbations, actuator failures and approximation errors are compensated by the designed adaptive compensators. Simulation results show that the output of all agents well converged to the leader agent under disturbances and faulty conditions. Additionally, it is shown that the suggested event-triggered scheme is effective and the actuators are updated about 20–40% of total sample times.

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Using Fuzzy Control for Feed Rate Scheduling of Computer Numerical Control Machine Tools

Cited by 7 publications

References 18 publications

Numerical Simulation of Intelligent Fuzzy Closed-Loop Control Method for Radial–Axial Ring Rolling Process of Super-Large Rings

Numerical Simulation of Intelligent Fuzzy Closed-Loop Control Method for Radial–Axial Ring Rolling Process of Super-Large Rings

Digital Twins-Based Smart Design and Control of Ultra-Precision Machining: A Review

A New Event-Triggered Type-3 Fuzzy Control System for Multi-Agent Systems: Optimal Economic Efficient Approach for Actuator Activating

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