A modular-architecture controller for CNC systems based on open-source electronics

Correa, Jorge Enrique; Toombs, Nicholas; Ferreira, Placid M.

doi:10.1016/j.jmsy.2017.04.013

Cited by 19 publications

(7 citation statements)

References 11 publications

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“…In addition, such methodology was elaborated, which performs on-line auto-tuning of the servo system with vibration monitoring. FPGA Spartan-3 Xilinx ISE-Xilinx -- [3] FPGA Altera MATLAB/Simulink -- [5] FPGA ICE40hx4k Lattice Open tool Empiric - [11] Raspberry Pi-FPGA ZYNQ 7 Xilinx Vivado-Xilinx -- [14] FPGA Spartan-3 Xilinx LabVIEW NI Empiric 0.1 ms [15] PC-Arduino Arduino MATLAB/Simulink pole assignment 60 ms [16] PC-Launchpad-Arduino Texas Instruments --50 ms [17] FPGA Max10 Altera NiosIIsoft -0.2 ms [26] Raspberry Pi-FPGA ZYNQ 7 Xilinx Vivado-Xilinx Fuzzy 5 ms…”

Section: Discussionmentioning

confidence: 99%

A New Methodology for a Retrofitted Self-tuned Controller with Open-Source FPGA

Cruz-Miguel

García-Martínez

Rodríguez‐Reséndiz

et al. 2020

Sensors

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Servo systems are feedback control systems characterized by position, speed, and/or acceleration outputs. Nowadays, industrial advances make the electronic stages in these systems obsolete compared to the mechanical elements, which generates a recurring problem in technological, commercial and industrial applications. This article presents a methodology for the development of an open-architecture controller that is based on reconfigurable hardware under the open source concept for servo applications. The most outstanding contribution of this paper is the implementation of a Genetic Algorithm for online self tuning with a focus on both high-quality servo control and reduction of vibrations during the positioning of a linear motion system. The proposed techniques have been validated on a real platform and form a novel, effective approach as compared to the conventional tuning methods that employ empirical or analytical solutions and cannot improve their parameter set. The controller was elaborated from the Graphical User Interface to the logical implementation while using free tools. This approach also allows for modification and updates to be made easily, thereby reducing the susceptibility to obsolescence. A comparison of the logical implementation with the manufacturer software was also conducted in order to test the performance of free tools in FPGAs. The Graphical User Interface developed in Python presents features, such as speed profiling, controller auto-tuning, measurement of main parameters, and monitoring of servo system vibrations.

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Section: Discussionmentioning

confidence: 99%

A New Methodology for a Retrofitted Self-tuned Controller with Open-Source FPGA

Cruz-Miguel

García-Martínez

Rodríguez‐Reséndiz

et al. 2020

Sensors

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“…Some of these codes have Open-Source licenses, such as LinuxCNC. It has a very flexible configuration and interface to combine software and hardware in an inexpensive manner, but a very good performance in CNC machinery [8].…”

Section: Introductionmentioning

confidence: 99%

Design and Construction of a Low Cost CNC Milling Machine for Woodworking

Ayala-Chauvín

Saá

Rodríguez

et al. 2021

Communications in Computer and Information Science

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Computer Numeric Control (CNC) machinery were created to reduce manufacturing times for industry, but this type of machinery is costly and therefore only a few uses can recover the investment. However, the progress of electronics in the last decades has allowed to develop affordable CNC machines. This article explains the design and manufacturing process of a low budget CNC milling machine for woodworking. All the structural elements were designed and simulated using PTC CREO, as well as the manufacturing sequence. The control hardware uses commercially available electronics such as Arduino ONE, and stepper motors to move the machine, while the software uses the free open source codes Vetrica Aspire and Universal G Code. The machine was tested on different materials, obtaining good results. The result is a CNC milling machine for woodworking that costs about 50% the price of an equivalent commercial machine, an can therefore be a suitable solution for craft industries.

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“…The one-time packaged manufacturing systems are generally expensive and difficult to modify built-in functions. On the other hand, open-source developed environments evolved significantly recently, and extensively promoted manufacturing industries to integrate fabrication apparatus dynamically, no matter from the perspective of hardware or software (Correa et al, 2017). It is widely acknowledged the open-source environment evolutions enable all involved manufacturing industries to be capable of initiating RMS systems, which are suitable for rapid changing product specifications in their specific fields even with lower costs.…”

Section: Introductionmentioning

confidence: 99%

A cloud integrated strategy for reconfigurable manufacturing systems

Lee

Lin

2020

Concurrent Engineering

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Manufacturing industries nowadays need to reconfigure their production lines promptly as to acclimate to rapid changing markets. Meanwhile, exercising system reconfigurations also needs to manage innumerous types of manufacturing apparatus involved. Nevertheless, traditional incompatible manufacturing systems delivered by exclusive vendors usually increase manufacture costs and prolong development time. This paper presents a novel RMS framework, which is intended to implement a Redis master/slave server mechanism to integrate various CNC manufacturing apparatus, hardware control means, and data exchange protocols through developed configurating codes. In the RMS framework each manufacturing apparatus or accessory stands for an object, and information of recognized CNC control panel image features, associated apparatus tuned parameters, communication formats, operation procedures, and control APIs, are stored into the Redis master cloud server database. Through implementation of machine vision techniques to acquire CNC controller panel images, the system effectively identifies instantaneous CNC machining states and response messages once the embedded image features are recognized. Upon demanding system reconfigurations for the manufacturing resources, the system issues commands from Redis local client servers to retrieve the stored information in the Redis master cloud servers, in which the resources for registered CNC machines, robots, and built-in accessories are maintained securely. The system then exploits the collected information locally to reconfigure involved manufacturing resources and starts manufacturing immediately, and thus is capable to promptly response to fast revised orders in a comitative market. In a prototyped RMS architecture, the proposed approach takes advantage of recognized feedback visual information, which is obtained using an invariant image feature extraction algorithm, and effectively commands an industrial robot to accomplish demanded actions on a CNC control panel, as a regular operator does daily in front of the CNC machine for manufacturing.

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A modular-architecture controller for CNC systems based on open-source electronics

Cited by 19 publications

References 11 publications

A New Methodology for a Retrofitted Self-tuned Controller with Open-Source FPGA

A New Methodology for a Retrofitted Self-tuned Controller with Open-Source FPGA

Design and Construction of a Low Cost CNC Milling Machine for Woodworking

A cloud integrated strategy for reconfigurable manufacturing systems

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