Icnc Performance Cnc Controller

[Fito Coulter]

TheInterpCNC V3 board combines 6-axis digital control and high-performance programmable controller functions.

The simultaneous combination of these 2 functions allows this controller to be used in many areas of activity.

Developed on the basis of a powerful 32-bit processor at 480 MHz, the InterpCNC V3 offers ideal performance for the most demanding applications.

It has the advantage of providing maximum power, connectivity, and functionality, in a very compact package that can be directly attached to a DIN rail.

The axis control interface in Step/Direction mode is compatible with the entire range of motors offered by the SOPROLEC company (step-by-step motor, brushless motor).

A mapping system allows Modbus frames to be transmitted with adjustable refresh rate to control and exchange data with all types of peripherals (Variators, drivers, HMI, etc...)

Three communication interfaces are available:

NB: The COM1 port is also compatible with the DMX512 Device protocol, widely used for controlling equipment in the world of entertainment (see Basic Interpreter Manual). The COM2 port can be used in DMX Master mode

A mini OLED screen allows you to view the status (0 or 1) of the first 32 inputs and the first 32 outputs of the card in real time, as well as various information (Firmware version on power-up, status of the ENable entry, board IP address, etc.)

SPECIFICATIONS:

Connections:

SOFTWARE DEVELOPMENT ENVIRONMENT::

The card is supplied with the ICNCStudio software, developed specifically by SOPROLEC.

Very intuitive and user friendly, it allows you to effectively develop your own programs, test them, debug and observe them running.

It also gives you real-time access to all the parameters and registers of your InterpCNC V3 board.

Whenever a new version is released, ICNCStudio will offer you its own online update, as well as your board's firmware update.

Our company is specialized in designing and manufacturing axes controller used in wide range of industry (packaging, labeling...). Those controllers are also used for CNC applications (ie milling machine, plasma cutting machine).

In addition, we are providing a lot of motors solutions according to your requirement.

iCNC Performance e is a new generation CNC controller that provides your cutting system with new capabilities. Making it an outstanding, complete component for controlling, integrating and manufacturing your plasma or gas cutting machine. Professional high quality performance. CNC controller with Windows operating system. Provides control over plasma or gas cutting process. The software includes a library of commonly used templates, which allows the operator to create a cutting plan quickly and easily.

This paper investigates the fuzzy position/force hybrid control for a class of 5-degree-of-freedom (DOF) redundantly actuated parallel robots. The position control law is designed based on the proportional-integral-differential (PID) for the 5-DOF redundantly actuated parallel robot. The fuzzy proportional-integral (PI) redundant actuation force control law is designed based on the position/force hybrid control structure for the 5-DOF redundantly actuated parallel robot. The optimum driving force is obtained in the presence of interference, and the force tracking performance of the fuzzy PI controller is better than the conventional PI controller under the interference condition. Based on the fuzzy position/force hybrid controller, the tracking performance of the closed-loop system for the 5-DOF redundantly actuated parallel robot is improved by using the fuzzy position/force hybrid controller and the interference is eliminated effectively in the control system design. Finally, the co-simulation results of ADAMS and MATLAB/SIMULINK are given to show the effectiveness and advantages of the proposed methods compared with the conventional PI controller.

Shu-Huan Wen received her Ph.D. degree in control theory and control engineering from the Yanshan University, Qinhuangdao, China in 2005. She is currently a Professor of automatic control in the Department of Electric Engineering, Yanshan University. Her research interests include humanoid robot control, force/motion control of parallel robot, 3-D object recognization and reconstruction.

Wei Zheng received her B.S. degree in Institute of Electrical Engineering from Yanshan University, and her Ph.D. degree in Institute of Electrical Engineering from Yanshan University. Currently, she is with the Department of Electrical Engineering Yanshan University. Her current research interests include robust nonlinear control systems, fuzzy control, control systems design over network, and intelligent control.

As network technology are always being improved, the Internet economy is quickly growing. Consequently, it is critical to pay attention to the reliability and safety of the network services offered by the ISP. A unified monitoring and control mechanism is available with state-of-the-art technologies such as Software-defined Network (SDN), however the SDN controller receives too much data to handle network traffic maintenance independently. Through the use of software-defined networking (SDN), networks are able to continuously monitor traffic, detect threats, adjust security policies, and include security services. Threats like man-in-the-middle attacks, DoS attacks, and saturation attacks are brought about by the SDN. So, the centralised controller can employ modern methods, like AI, to govern the flow of data across the network. Managing network congestion and detecting distributed denial-of-service (DDoS) assaults are the main concerns of this article. This study uses the Multilayer Perceptron (MLP) to detect DDoS attacks and connection congestion through packet loss using data acquired from the Open Flow Switch Table. Simulation results show that the proposed methodology out performs the status quo in terms of network performance.

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