ArticleArabian journal for science and engineering2023
Enhanced Arithmetic Optimization Algorithm for Parameter Estimation of PID Controller.
Article in Arabian journal for science and engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed.
- Enhanced maximum power point tracking using hippopotamus optimization algorithm for grid-connected photovoltaic system.Scientific reports · 2026Article
- Enhanced generalized normal distribution optimizer with Gaussian distribution repair method and cauchy reverse learning for features selection.Scientific reports · 2026Article
- A memorized multi-objective Sinh-Cosh optimizer for solving multi-objective engineering design problems.Scientific reports · 2026Article
- Designing a cascaded exponential PID controller via starfish optimizer for DC motor and liquid level systems.Scientific reports · 2025Article
- Enhanced artificial satellite search algorithm with memory and evolutionary operator for PID controller parameter estimation.Scientific reports · 2025Article
- A chaotic arithmetic optimization algorithm with Cauchy perturbation and differential evolution for engineering design problems.Scientific reports · 2025Article
- Enhanced hunger games search algorithm that incorporates the marine predator optimization algorithm for optimal extraction of parameters in PEM fuel cells.Scientific reports · 2025Article
- Advanced control parameter optimization in DC motors and liquid level systems.Scientific reports · 2025Article
- A Multiple Mechanism Enhanced Arithmetic Optimization Algorithm for Numerical Problems.Biomimetics (Basel, Switzerland) · 2023Article
- Arithmetic optimization algorithm based maximum power point tracking for grid-connected photovoltaic system.Scientific reports · 2023Article
- A Comprehensive Survey on Arithmetic Optimization Algorithm.Archives of computational methods in engineering : state of the art reviews · 2023Article
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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 for its parameters using traditional methods that do not achieve the best response. In this work, the recently released empirical identification algorithm that is the Arithmetic Optimization Algorithm (AOA) was used to determine the best values of the PID parameters. AOA was selected due to its effective exploration ability. Unfortunately, AOA cannot achieve the best parameter values due to its poor exploitation of search space. Hence, the performance of the AOA exploit is improved by combining it with the Harris Hawk Optimization (HHO) algorithm which has an efficient exploit mechanism. In addition, avoidance of trapping in the local lower bounds of AOA-HHO is enhanced by the inclusion of perturbation and mutation factors. The proposed AOA-HHO algorithm is tested when choosing the best values for PID parameters to control two engineering applications namely DC motor regulation and three fluid level sequential tank systems. AOA-HHO has superiority over AOA and comparative algorithms.
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