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Related Concept Videos

PID Controller01:19

PID Controller

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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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Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

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Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
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PI Controller: Design01:24

PI Controller: Design

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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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Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

83
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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PD Controller: Design01:26

PD Controller: Design

184
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
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Phase-lead and Phase-lag Controllers01:22

Phase-lead and Phase-lag Controllers

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Understanding the working function of different types of controllers can be illustrated with practical analogies, such as adjusting a stereo's volume equalizer. Cranking up the bass involves a phase-lead controller, which functions as a high-pass filter, while increasing the treble uses a phase-lag controller, which acts as a low-pass filter. PD controllers, similar to high-pass filters, enhance the system's response to high-frequency components. PI controllers, akin to low-pass...
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Angle stability improvement using optimised proportional integral derivative with filter controller.

Abdul Waheed Khawaja1, Nor Azwan Mohamed Kamari2,3, Muhammad Ammirrul Atiqi Mohd Zainuri2

  • 1Department of Electrical Engineering, Faculty of Engineering & Technology, Bahauddin Zakariya University, Multan, 60800, Pakistan.

Heliyon
|December 17, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces an optimized Proportional Integral Derivative with Filter (PIDF)-based Thyristor-Controlled Series Compensator (TCSC) controller using an evolutionary algorithm. The novel approach significantly enhances power system angle stability under various operating conditions.

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Power Systems

Background:

  • Power system load inconsistencies cause rotor angle fluctuations, leading to instability.
  • Existing control methods struggle to maintain optimal angle stability.

Purpose of the Study:

  • To develop an innovative Proportional Integral Derivative with Filter (PIDF)-based Thyristor-Controlled Series Compensator (TCSC) controller.
  • To enhance power system angle stability using hybrid optimization.

Main Methods:

  • The PIDF-TCSC controller design was framed as an optimal control problem.
  • An evolutionary programming sine cosine algorithm (EPSCA) was used for hybrid optimization.
  • Eigenvalue analysis and simulation studies on a single-machine infinite-bus (SMIB) network were conducted.

Main Results:

  • The proposed EPSCA-optimized PIDF-TCSC controller demonstrated superior performance in improving power system angle stability.
  • Comparative analysis showed significant improvements over traditional PID, PI, and base PIDF-TCSC controllers.
  • The controller exhibited excellent resilience across various operating conditions.

Conclusions:

  • The EPSCA effectively optimizes the PIDF-TCSC controller for enhanced power system stability.
  • The proposed method offers a robust solution for mitigating angle instability in power systems.
  • This research highlights a promising strategy for improving the reliability of power grids.