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Control Systems01:10

Control Systems

1.0K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
1.0K
PID Controller01:19

PID Controller

90
Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
90
Open and closed-loop control systems01:17

Open and closed-loop control systems

605
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
605
Control Systems: Applications01:25

Control Systems: Applications

552
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
552
Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

610
The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
610
PI Controller: Design01:24

PI Controller: Design

175
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
175

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Related Experiment Video

Updated: May 25, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

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Industrial Robot Control System with a Predictive Maintenance Module Using IIoT Technology.

Andrzej Wojtulewicz1, Patryk Chaber1

  • 1Institute of Control and Computation Engineering, Faculty of Electronics and Information Technology, Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665 Warsaw, Poland.

Sensors (Basel, Switzerland)
|February 26, 2025
PubMed
Summary
This summary is machine-generated.

This study integrates industrial robots with CNC systems for enhanced diagnostics. It enables early failure prevention by analyzing robot component consumption data, improving operational efficiency.

Keywords:
CNCHP HMIIIoTMQTTcommunication protocolsdiagnosticsindustrial robotprediction

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Area of Science:

  • Manufacturing Engineering
  • Automation and Control Systems

Background:

  • Industrial robots are increasingly integrated with Computer Numerical Control (CNC) systems.
  • Effective diagnostics and early failure prevention are crucial for optimizing robotic system performance and minimizing downtime.

Purpose of the Study:

  • To develop and implement a diagnostic solution for industrial robots controlled by CNC systems.
  • To enable early failure detection and prevention through real-time monitoring of robot component consumption.

Main Methods:

  • Direct control of an industrial robot from a CNC system.
  • Data exchange between CNC and robot controller for process data collection.
  • Calculations performed in Programmable Logic Controller (PLC) to derive consumption indicators.
  • Data visualization on Human-Machine Interface (HMI) screens.
  • Implementation of MQTT protocol for Industrial Internet of Things (IIoT) data sharing.

Main Results:

  • Successful integration of CNC and industrial robot for diagnostic data collection.
  • Generation of key consumption indicators for individual robot components.
  • Real-time data visualization on CNC HMI.
  • Enabled IIoT data sharing via MQTT protocol.
  • Demonstrated feasibility through deployment in a real industrial station.

Conclusions:

  • The developed solution extends CNC capabilities for industrial robot diagnostics.
  • The system facilitates early failure prevention by monitoring component health.
  • This integration enhances the overall reliability and efficiency of automated manufacturing systems.