Particle swarm optimization based tuning of a modified smith predictor for mould level control in continuous casting

Jabri, Karim; Dumur, Didier; Godoy, Emmanuel; Mouchette, Alain; Bèle, Bertrand

doi:10.1016/j.jprocont.2010.10.019

Cited by 22 publications

(4 citation statements)

References 8 publications

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“…A very large number of papers describe control systems that use artificial intelligence techniques for all the aspects that involve nonlinearities, or imprecise, incomplete, and uncertain knowledge. We recall here only a few topics; Model's Parameters Determination - Altinten (2007), System Identification - Makas and Yumusak, (2016), Optimization of Control Parameters - Kesarkar and Selvaganesan (2015); Aras et al (2011); Jabri et al (2011); Zhang et al (2018); Optimal Sensors' Placing - Bruant et al (2011); and Singh and Hahn (2006), Optimal Control Problems - Bououden et al (2015); Naghizadeh, et al (2016); Hu, X.B. et al (2004); Faber et al (2005); Qian et al (2012); and Wong et al (2016).…”

Section: Introductionmentioning

confidence: 99%

Systematic Procedure for Optimal Controller Implementation Using Metaheuristic Algorithms

Mînzu¹,

Şerbencu²

2020

Intelligent Automation &Amp; Soft Computing

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The idea for this work starts from the situation in which a metaheuristic-based algorithm has already been developed in order to solve an optimal control problem. This algorithm yields an offline "optimal" solution. On the other hand, the Receding Horizon Control (RHC) structure can be implemented if a process model is available. This work underlines some of the practical aspects of joining the RHC to an existing metaheuristic-based algorithm in order to obtain a closed-loop control structure that can be further used in real-time control. The result is a systematic procedure that integrates a given metaheuristic-based algorithm into a RHC structure.

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Section: Introductionmentioning

confidence: 99%

Systematic Procedure for Optimal Controller Implementation Using Metaheuristic Algorithms

Mînzu¹,

Şerbencu²

2020

Intelligent Automation &Amp; Soft Computing

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“…Rao et al [27] published a comprehensive review dealing with parameter-based optimization of selected casting processes. The authors pointed out that various optimization techniques such as simulated annealing [28], genetic algorithm [29] and particle swarm optimization [30] applied to the CC process does not always find the optimal solution. To control the casting process, these supervision systems include regulation algorithms such as the PID regulation which exhibit a slower response against a very fast regulation using fuzzy logic [31].…”

Section: Optimization and Regulation Algorithms In CCmentioning

confidence: 99%

Comparison of Optimization-Regulation Algorithms for Secondary Cooling in Continuous Steel Casting

Březina

Mauder

Klimeš

et al. 2021

Metals

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The paper presents the comparison of optimization-regulation algorithms applied to the secondary cooling zone in continuous steel casting where the semi-product withdraws most of its thermal energy. In steel production, requirements towards obtaining defect-free semi-products are increasing day-by-day and the products, which would satisfy requirements of the consumers a few decades ago, are now far below the minimum required quality. To fulfill the quality demands towards minimum occurrence of defects in secondary cooling as possible, some regulation in the casting process is needed. The main concept of this paper is to analyze and compare the most known metaheuristic optimization approaches applied to the continuous steel casting process. Heat transfer and solidification phenomena are solved by using a fast 2.5D slice numerical model. The objective function is set to minimize the surface temperature differences in secondary cooling zones between calculated and targeted surface temperatures by suitable water flow rates through cooling nozzles. Obtained optimization results are discussed and the most suitable algorithm for this type of optimization problem is identified. Temperature deviations and cooling water flow rates in the secondary cooling zone, together with convergence rate and operation times needed to reach the stop criterium for each optimization approach, are analyzed and compared to target casting conditions based on a required temperature distribution of the strand. The paper also contains a brief description of applied heuristic algorithms. Some of the algorithms exhibited faster convergence rate than others, but the optimal solution was reached in every optimization run by only one algorithm.

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“…Various formulations exist for the selection of the parameters c 0 , c 1 , and c 2 . One of the options is to use the values suggested in [20].…”

Section: Particle Swarm Optimizationmentioning

confidence: 99%

Automatic High-Frequency Trading: An Application to Emerging Chilean Stock Market

Crawford

Soto

Martín

et al. 2018

Scientific Programming

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This research seeks to design, implement, and test a fully automatic high-frequency trading system that operates on the Chilean stock market, so that it is able to generate positive net returns over time. A system that implements high-frequency trading (HFT) is presented through advanced computer tools as an NP-Complete type problem in which it is necessary to optimize the profitability of stock purchase and sale operations. The research performs individual tests of the algorithms implemented, reviewing the theoretical net return (profitability) that can be applied on the last day, month, and semester of real market data. Finally, the research determines which of the variants of the implemented system performs best, using the net returns as a basis for comparison. The use of particle swarm optimization as an optimization algorithm is shown to be an effective solution since it is able to optimize a set of disparate variables but is bounded to a specific domain, resulting in substantial improvement in the final solution.

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Particle swarm optimization based tuning of a modified smith predictor for mould level control in continuous casting

Cited by 22 publications

References 8 publications

Systematic Procedure for Optimal Controller Implementation Using Metaheuristic Algorithms

Systematic Procedure for Optimal Controller Implementation Using Metaheuristic Algorithms

Comparison of Optimization-Regulation Algorithms for Secondary Cooling in Continuous Steel Casting

Automatic High-Frequency Trading: An Application to Emerging Chilean Stock Market

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