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Related Concept Videos

Fault Types01:18

Fault Types

75
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.
For line-to-line faults occurring between phases B and C, the...
75
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

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Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
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Controller Configurations01:22

Controller Configurations

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Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
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PID Controller01:19

PID Controller

102
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...
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Control Systems01:10

Control Systems

1.1K
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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PI Controller: Design01:24

PI Controller: Design

207
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...
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Related Experiment Video

Updated: Jun 6, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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Fault-Tolerant Control for Quadcopters Under Actuator and Sensor Faults.

Kenji Fabiano Ávila Okada1, Aniel Silva Morais1, Laura Ribeiro1

  • 1Faculty of Electrical Engineering, Federal University of Uberlândia, Uberlândia 38408-100, Brazil.

Sensors (Basel, Switzerland)
|November 27, 2024
PubMed
Summary

This study enhances quadcopter safety using fault detection and diagnosis (FDD) with Kalman filter (KF) variations for fault-tolerant control (FTC). Adaptive FDD methods significantly improve stability and reliability against sensor and actuator faults.

Keywords:
Kalman filterfault detection and diagnosisfault-tolerant controlquadcoptersunmanned aerial vehicles

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Area of Science:

  • Aerospace Engineering
  • Control Systems
  • Robotics

Background:

  • Unmanned aerial vehicles (UAVs), especially quadcopters, face operational risks from sensor and actuator faults due to complex dynamics and environmental factors.
  • Ensuring the safety, reliability, and cost-effectiveness of UAV operations necessitates robust fault detection and diagnosis (FDD) and fault-tolerant control (FTC) strategies.

Purpose of the Study:

  • To implement and evaluate different Kalman filter (KF)-based FDD approaches for fault estimation in quadcopters.
  • To achieve effective fault-tolerant control (FTC) for quadcopters experiencing nonlinear actuator and sensor faults, including simultaneous occurrences.

Main Methods:

  • Implementation of three KF variants: linear KF, extended KF (EKF), and unscented KF (UKF).
  • Inclusion of three-stage and adaptive variations of the KF to enhance fault estimation.
  • Integration of FDD methods within an FTC architecture for quadcopter stabilization.

Main Results:

  • Adaptive KF-based FDD methods demonstrated superior fault estimation performance in complex scenarios.
  • The FTC architecture successfully maintained quadcopter stability despite sensor and actuator faults.
  • Significant improvements in quadcopter safety and reliability were observed with the proposed FDD/FTC system.

Conclusions:

  • Kalman filter-based FDD approaches, particularly adaptive variants, are effective for enhancing quadcopter fault tolerance.
  • The developed FTC system provides a robust solution for maintaining stable UAV operation under fault conditions.
  • This research contributes to safer and more reliable autonomous aerial vehicle systems.