Applications of metaheuristic optimization algorithms in model predictive control for chemical engineering processes: A systematic review

M Al Bannoud, CAM da Silva, TD Martins - Annual Reviews in Control, 2024 - Elsevier
The growing competitiveness of the chemical industry, along with sustainability demands
and regulatory requirements, calls for optimized and well-controlled operations. Chemical …

Fuzzy logic and genetic-based algorithm for a servo control system

H Torres-Salinas, J Rodríguez-Reséndiz… - Micromachines, 2022 - mdpi.com
Performing control is necessary for processes where a variable needs to be regulated. Even
though conventional techniques are widely preferred for their implementation, they present …

Design and implementation of an optimized PID controller for the adaptive cruise control system

S Chaturvedi, N Kumar - IETE Journal of Research, 2023 - Taylor & Francis
We have designed and implemented an optimized PID controller for an adaptive cruise
control system in this paper. The mathematical model for a cruise control system has been …

Stability-preserving automatic tuning of PID control with reinforcement learning

AI Lakhani, MA Chowdhury, Q Lu - arXiv preprint arXiv:2112.15187, 2021 - arxiv.org
PID control has been the dominant control strategy in the process industry due to its
simplicity in design and effectiveness in controlling a wide range of processes. However …

Enhanced control of doubly fed induction generator based wind turbine system using soft computing assisted fractional order controller

SG Karad, R Thakur - Renewable Energy Focus, 2022 - Elsevier
This paper proposes teaching learning based optimization (TLBO) algorithm assisted
fractional order controller for control of Rotor side converter (RSC) and Grid side converter …

[PDF][PDF] Optimal tuning of PID controller for speed control of DC motor using equilibrium optimizer

ID Fajuke, A Raji - Indonesian Journal of Electrical Engineering and …, 2023 - academia.edu
The efficient and smooth operation of direct current (DC) motors is of high significance in
various industrial applications. This study proposed a recent optimization technique, named …

Tuning of PID controller using driving training-based optimization for speed control of DC motor

H Sarma, A Bardalai - 2023 4th international conference on …, 2023 - ieeexplore.ieee.org
This paper presents the application of a human-based metaheuristic soft computing method,
Driving TrainingBased optimization (DTBO) algorithm, for optimal tuning of PID controller in …

Research on Diesel Engine Speed Control Based on Improved Salp Algorithm

B Zeng, Q Shen, G Wang, Y Wang, Y Zhao, S He, X Yu - Processes, 2023 - mdpi.com
To better regulate the speed of diesel engines and optimize the speed overshoot and fast
response, a speed control method combining the improved salp swarm algorithm (ISSA) …

[HTML][HTML] A Particle Swarm Optimization tuned nonlinear PID controller with improved performance and robustness for First Order Plus Time Delay systems

S Charkoutsis, M Kara-Mohamed - Results in Control and Optimization, 2023 - Elsevier
Abstract The Proportional, Integral, and Derivative (PID) controller is a ubiquitous controller
within industry. The conventional PID controller can struggle to provide a satisfactory …

Coronavirus herd immunity optimization-based control of DC-DC boost converter

MS Pendem, TK Nizami, P Singh… - Soft Computing: Theories …, 2023 - Springer
This paper presents a novel coronavirus herd immunity optimization (CHIO) algorithm for
tuning the proportional-integral-derivative (PID) controller for the DC-DC boost converter …