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
TL;DR: 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.
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About: This article is published in Heliyon. The article was published on 01 May 2022. and is currently open access. The article focuses on the topics: Medicine & PID controller.
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Citations
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.
Improved Whale Optimization Algorithm for Transient Response, Robustness, and Stability Enhancement of an Automatic Voltage Regulator System
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A Novel Smart Framework for Optimal Design of Green Roofs in Buildings Conforming with Energy Conservation and Thermal Comfort
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A Comprehensive Review of Bio-Inspired Optimization Algorithms Including Applications in Microelectronics and Nanophotonics
TL;DR: In this article , a broad survey of bio-inspired multiparameter optimization methods is presented, with a focus on the use of biomimetic algorithms in two related wide fields, namely microelectronics and nanophotonics, including inverse design of structures such as photonic crystals, nanoplasmonic configurations and metamaterials.
A two-stage eco-cooling control strategy for electric vehicle thermal management system considering multi-source information fusion
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