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Related Concept Videos

Control Systems01:10

Control Systems

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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...
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Control Systems: Applications01:25

Control Systems: Applications

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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...
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Feedback control systems01:26

Feedback control systems

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Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
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Fault Types01:18

Fault Types

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When analyzing a single line-to-ground fault from phase A to ground at a three-phase bus, it is important to consider the fault impedance. This impedance is zero for a bolted fault, equal to the arc impedance for an arcing fault, and represents the total fault impedance for a transmission-line insulator flashover. To derive sequence and phase currents, fault conditions are translated from the phase domain to the sequence domain.
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Open and closed-loop control systems01:17

Open and closed-loop control systems

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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.
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Transfer Function in Control Systems01:21

Transfer Function in Control Systems

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The transfer function is a fundamental concept in the analysis and design of linear time-invariant (LTI) systems. It offers a concise way to understand how a system responds to different inputs in the frequency domain. It serves as a bridge between the time-domain differential equations that describe system dynamics and the frequency-domain representation that facilitates easier manipulation and analysis.
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Observer based fault tolerant control for a class of Two-PMSMs systems.

Hongyun Xiong1, Ye Liao1, Xiaoyan Chu1

  • 1School of Information Science and Engineering, Central South University, Changsha, Hunan 410075, PR China.

ISA Transactions
|July 26, 2018
PubMed
Summary

This study introduces an observer-based fault-tolerant controller for dual permanent magnet synchronous motors (PMSMs). The controller effectively compensates for actuator faults, ensuring system stability and performance.

Keywords:
FTCFault estimationLMIPMSMRobust adaptive observer

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Robotics

Background:

  • Coupled permanent magnet synchronous motors (PMSMs) are crucial in many industrial applications.
  • Actuator faults can degrade system performance and lead to instability.
  • Existing fault-tolerant control (FTC) methods may require detailed fault information.

Purpose of the Study:

  • To propose an observer-based state-feedback fault-tolerant controller for a two-coupled PMSM system.
  • To estimate actuator faults using a robust adaptive observer.
  • To ensure the closed-loop system's robust stability under actuator faults.

Main Methods:

  • Design of a robust adaptive observer to estimate actuator faults.
  • Computation of equilibrium control inputs and reference speeds using the system's mathematical model.
  • Derivation of the variation dynamic model.
  • Stability analysis using Lyapunov theory and interval matrices.
  • Solving linear matrix inequalities (LMIs) to obtain controller gains.

Main Results:

  • Successful estimation of system actuator faults.
  • Demonstration of the fault-tolerant controller's ability to maintain system states.
  • Verification of robust stability for the closed-loop system.
  • Validation of the proposed FTC scheme's effectiveness through simulations.

Conclusions:

  • The proposed observer-based fault-tolerant control scheme effectively compensates for actuator faults in two-coupled PMSM systems.
  • The robust adaptive observer accurately estimates faults, enabling stable system operation.
  • The controller ensures robust stability, validated by Lyapunov theory and LMIs.