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The dilemma of PID tuning
A lot of automatic feedback control and learning tasks carried out on many dynamical
systems still fundamentally rely on a form of proportional–integral–derivative (PID) control …
systems still fundamentally rely on a form of proportional–integral–derivative (PID) control …
Advances in Henry gas solubility optimization: A physics-inspired metaheuristic algorithm with its variants and applications
MA El-Shorbagy, A Bouaouda, HA Nabwey… - IEEE …, 2024 - ieeexplore.ieee.org
The Henry Gas Solubility Optimization (HGSO) is a physics-based metaheuristic inspired by
Henry's law, which describes the solubility of the gas in a liquid under specific pressure …
Henry's law, which describes the solubility of the gas in a liquid under specific pressure …
Particle swarm optimization (PSO) tuning of PID control on DC motor
The use of DC motors is now common because of its advantages and has become an
important necessity in hel** human activities. Generally, motor control is designed with …
important necessity in hel** human activities. Generally, motor control is designed with …
Efficient speed control for DC motors using novel gazelle simplex optimizer
This paper addresses the design of an optimally executed proportional-integral-derivative
(PID) controller, tailored for the speed regulation of a direct current (DC) motor. To achieve …
(PID) controller, tailored for the speed regulation of a direct current (DC) motor. To achieve …
Efficient DC motor speed control using a novel multi-stage FOPD (1+ PI) controller optimized by the Pelican optimization algorithm
This paper introduces a novel multi-stage FOPD (1+ PI) controller for DC motor speed
control, optimized using the Pelican Optimization Algorithm (POA). Traditional PID …
control, optimized using the Pelican Optimization Algorithm (POA). Traditional PID …
Enhanced arithmetic optimization algorithm for parameter estimation of PID controller
M Issa - Arabian journal for science and engineering, 2023 - Springer
Abstract The Proportional-Integral-Derivative (PID) controller is a key component in most
engineering applications. The main disadvantage of PID is the selection of the best values …
engineering applications. The main disadvantage of PID is the selection of the best values …
[HTML][HTML] Predicting roof displacement of roadways in underground coal mines using adaptive neuro-fuzzy inference system optimized by various physics-based …
Due to the rapid industrialization and the development of the economy in each country, the
demand for energy is increasing rapidly. The coal mines have to pace up the mining …
demand for energy is increasing rapidly. The coal mines have to pace up the mining …
A novel improved arithmetic optimization algorithm for optimal design of PID controlled and Bode's ideal transfer function based automobile cruise control system
This paper considers the development of a novel hybrid metaheuristic algorithm which is
proposed to achieve an optimum design for automobile cruise control (ACC) system by …
proposed to achieve an optimum design for automobile cruise control (ACC) system by …
Design and application of an optimally tuned PID controller for DC motor speed regulation via a novel hybrid Lévy flight distribution and Nelder–Mead algorithm
D Izci - Transactions of the Institute of Measurement and …, 2021 - journals.sagepub.com
This paper deals with the design of an optimally performed proportional–integral–derivative
(PID) controller utilized for speed control of a direct current (DC) motor. To do so, a novel …
(PID) controller utilized for speed control of a direct current (DC) motor. To do so, a novel …
[HTML][HTML] Control and performance analyses of a DC motor using optimized PIDs and fuzzy logic controller
Based on the no-free-lunch theorem, researchers have been proposing optimization
algorithms for solving complex engineering problems. This paper analyzes the performance …
algorithms for solving complex engineering problems. This paper analyzes the performance …