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Related Concept Videos

PID Controller01:19

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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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PI Controller: Design01:24

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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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Generator Voltage Control01:21

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Generator voltage control is crucial for maintaining the stable operation of synchronous generators and wind turbines. In older models, a DC generator driven by the rotor delivers DC power to the rotor's field winding, and the power is transferred through slip rings and brushes. In the latest models, static or brushless exciters are used. Static exciters rectify AC power from the generator terminals and then transfer the DC power directly to the rotor. Brushless exciters, on the other hand,...
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PD Controller: Design01:26

PD Controller: Design

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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.
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Frequency-Domain Interpretation of PD Control01:24

Frequency-Domain Interpretation of PD Control

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Proportional-Derivative (PD) controllers are widely used in fan control systems to improve stability and performance. A fan control system can be effectively represented using a Bode plot to illustrate the impact of a PD controller through its transfer function. The Bode plot visually conveys how PD control modifies the fan's response across various frequencies, providing a frequency domain interpretation of the controller's behavior.
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Time and frequency -Domain Interpretation of PI Control01:27

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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.
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Related Experiment Video

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Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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Grid-connected PV inverter system control optimization using Grey Wolf optimized PID controller.

Monika Gupta1, P M Tiwari1, R K Viral1

  • 1Department of Electrical and Electronics Engineering, Amity University, Noida, India.

Scientific Reports
|August 7, 2025
PubMed
Summary

This study introduces an adaptive Grey Wolf Optimization-Proportional-Integral-Derivative (GWO-PID) controller for photovoltaic inverters. The GWO-PID controller enhances grid stability and power quality by optimizing parameters in real-time.

Keywords:
DC-link voltageGrey Wolf optimizationGrid-connected PV systemInverter controlMaximum power point trackingPID controllerPower qualityTotal harmonic distortion

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Renewable Energy Systems

Background:

  • Conventional Proportional (P) and Proportional-Integral (PI) controllers in photovoltaic (PV) inverters struggle with dynamic environments, leading to harmonic distortion and poor voltage regulation.
  • Variable irradiance conditions significantly impact PV inverter performance, necessitating adaptive control strategies.

Purpose of the Study:

  • To develop and evaluate a robust and adaptive control framework for grid-connected PV inverter systems.
  • To improve the dynamic performance, power quality, and stability of PV inverters under varying environmental conditions.

Main Methods:

  • Integration of a Proportional-Integral-Derivative (PID) controller with the Grey Wolf Optimization (GWO) algorithm for real-time parameter tuning.
  • Simulation of a 50 kW PV system in MATLAB/Simulink, including a boost converter with Incremental Conductance (INC) MPPT, a voltage source inverter, and a Phase-Locked Loop (PLL) for grid synchronization.
  • Optimization of PID gains (Kp, Ki, Kd) using GWO based on a fitness function minimizing Mean Squared Error (MSE) and Total Harmonic Distortion (THD).

Main Results:

  • The GWO-PID controller achieved a 0.025s rise time, 0.035s settling time, 3.7% THD, and 0.25 kW² MSE under standard irradiance.
  • Demonstrated consistent DC-link voltage stability and minimized oscillations across irradiance levels from 400 W/m² to 1000 W/m².
  • Reduced settling time by over 45% compared to traditional PI and P controllers, improved power tracking, and lowered harmonic distortion, ensuring compliance with IEEE 519-2014 standards.

Conclusions:

  • The proposed GWO-PID control technique offers a scalable, efficient, and real-time solution for enhancing grid compliance, energy quality, and system stability in PV applications.
  • This adaptive control framework represents a significant advancement for smart grid and microgrid integration of renewable energy sources.
  • The GWO-PID controller effectively manages active and reactive power, minimizes overshoot, and maintains grid synchronization during rapid environmental changes.