Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems
Stephen Bassi Joseph,Emmanuel Gbenga Dada,Afeez Abidemi,David Opeoluwa Oyewola,Ban Mohammed Khammas +4 more
TLDR
A thorough review of state-of-the-art and classical strategies for PID controller parameters tuning using metaheuristic algorithms can be found in this article , where the primary objectives of PID control parameters are to achieve minimal overshoot in steady state response and lesser settling time.About:
This article is published in Heliyon.The article was published on 2022-05-01 and is currently open access. It has received 62 citations till now. The article focuses on the topics: Medicine & PID controller.read more
Citations
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Particle Swarm Optimization (PSO) Tuning of PID Control on DC Motor
TL;DR: In this paper , the Particle Swarm Optimization (PSO) method was used to tune the PID controller parameters on a DC motor, and the results of tuning the controller parameters using the PSO method on the MATLAB Simulink obtained optimal results where the value of Kp = 8.9099, K = 2.1469, and Kd = 0.31952.
Journal ArticleDOI
Improved Whale Optimization Algorithm for Transient Response, Robustness, and Stability Enhancement of an Automatic Voltage Regulator System
Salman Habib,Ghulam Abbas,Touqeer Ahmed Jumani,Aqeel Ahmed Bhutto,Sohrab Mirsaeidi,Emad M. Ahmed +5 more
TL;DR: The results of the study prove the superiority of the proposed IWOA-based AVR system in terms of transient response and stability metrics and robustness analysis was conducted to assess the robustness of the optimized AVRSystem.
Proceedings Article
Modified Helicopters Turboshaft Engines Neural Network On-board Automatic Control System Using the Adaptive Control Method
TL;DR: In this paper , a real-time identification method for helicopters turboshaft engines onboard automatic control system adaptive control subsystem has been modified, which allows you to set the desired system response to a disturbance for its current state.
Journal ArticleDOI
Level Control of Blast Furnace Gas Cleaning Tank System with Fuzzy Based Gain Regulation for Model Reference Adaptive Controller
TL;DR: In this article , a model reference adaptive controller (MRAC) is applied in the gas cleaning tank system level control problem in the blast furnace facility, which is at the center of the iron making processes.
Sensing System Assisted Novel PID Controller for Efficient Speed Control of DC Motors in Electric Vehicles
TL;DR: In this article , a sensor feedback-supported PID controller based on a novel dandelion optimization PID controller (DO-PID) was proposed to reduce system error between the reference and output signals.
References
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