Optimization Based on Pattern Search Algorithm Applied to pH Non-Linear Control: Application to Alkalinization Process of Sugar Juice

Palacio-Morales, Jairo Alonso; Tobón, Andrés; Herrera, Jorge

doi:10.3390/pr9122283

Cited by 7 publications

(4 citation statements)

References 34 publications

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“…The optimization process employs a pattern-search algorithm known for its efficiency in global optimization and direct search methods ( Fatemifar et al, 2021 ; Findler et al, 1987 ). This algorithm minimizes the inequalities by determining the minimum value of an objective function using straightforward numerical operations ( Palacio-Morales et al, 2021 ; Park et al, 2014 ). We optimized the amount of training data, input window size ( wd ), lookback size ( lk ), CNN structure, and hyperparameters ( Fig.…”

Section: Methodsmentioning

confidence: 99%

Spatiotemporal estimation of groundwater and surface water conditions by integrating deep learning and physics-based watershed models

Kim,

Lee,

Hwang

et al. 2024

Water Research X

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Section: Methodsmentioning

confidence: 99%

Spatiotemporal estimation of groundwater and surface water conditions by integrating deep learning and physics-based watershed models

Kim,

Lee,

Hwang

et al. 2024

Water Research X

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“…The meta-heuristic PSM is the optimizer used in this geometric shape parameterized modeling framework using different free-form curves (cubic spline, CHS, B-spline and NURBS). PSM is selected for this study because it has a global convergence property, which prevents stagnation in the local minimum because it presents an exhaustive search throughout the exploration and exploitation process [33].…”

Section: Optimization Objectives and Constraintsmentioning

confidence: 99%

Parametric Curve Comparison for Modeling Floating Offshore Wind Turbine Substructures

2023

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The drive for the cost reduction of floating offshore wind turbine (FOWT) systems to the levels of fixed bottom foundation turbine systems can be achieved with creative design and analysis techniques of the platform with free-form curves to save numerical simulation time and minimize the mass of steel (cost of steel) required for design. This study aims to compare four parametric free-form curves (cubic spline, B-spline, Non-Uniform Rational B-Spline and cubic Hermite spline) within a design and optimization framework using the pattern search gradient free optimization algorithm to explore and select an optimal design from the design space. The best performance free-form curve within the framework is determined using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The TOPSIS technique shows the B-spline curve as the best performing free-form curve based on the selection criteria, amongst which are design and analysis computational time, estimated mass of platform and local shape control properties. This study shows that free-form curves like B-spline can be used to expedite the design, analysis and optimization of floating platforms and potentially advance the technology beyond the current level of fixed bottom foundations.

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“…The feature of T2FLS is to fuzzify the membership value in the fuzzy set, which enhances the ambiguity of the set, thereby improving its ability to deal with uncertainties [23]. The experimental results show that in high uncertainties situations, T2FLS has significantly better performance than the corresponding T1FLS, and the higher the degree of uncertainties, the more obvious this advantage is [24]. The defuzzification process of T2FLC requires the use of type-reduction (TR) algorithms.…”

Section: Introductionmentioning

confidence: 99%

Dynamic High-Type Interval Type-2 Fuzzy Logic Control for Photoelectric Tracking System

Qin

Zhang²,

Zhao³

et al. 2022

Processes

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This paper proposes a dynamic high-type control (DHTC) method based on an interval type-2 fuzzy logic controller (IT2FLC), which is used in the photoelectric tracking system to improve the steady-state accuracy and response speed. Adding integrators to the traditional multi-loop feedback control loop can increase the system type, thereby speeding up the response speed and improving the steady-state accuracy, but there is a risk of integral saturation. Switching the type dynamically according to the system state can avoid integral saturation while retaining the advantages of the high-type. Fuzzy logic control (FLC) can dynamically change the output value according to the input change and has the advantages of fast response speed and strong ability to handle uncertainties. Therefore, in this paper, the FLC is introduced into the high-type control system, and the output of the FLC is used as the gain of the integrator to control the on-off to achieve the goal of dynamic switching type, which is successfully verified in the experiment. IT2FLC introduces a three-dimensional membership function, which further improves the FLC’s ability to handle uncertainties. From the experimental results, compared with T1FLC, IT2FLC’s ability to handle uncertainties is significantly improved. In addition, in order to speed up the calculation speed of IT2FLC, this paper proposes an improved type-reduction algorithm, which is called weighted-trapezoidal Nie-Tan (WTNT). Compared with the traditional type-reduction algorithm, WTNT has faster calculation speed and better steady-state accuracy, and has been successfully applied to real-time control systems, which has good engineering application value. Finally, in order to reduce the interference of human factors and improve the automation level of the system, a multi-population genetic algorithm (MPGA) is used to iteratively optimize the parameters of the FLC, which improves the output accuracy. On the experimental platform of the flexible fast steering mirror (FFSM), the control effects of the traditional controller, T1FLC and IT2FLC are compared, which proves that the IT2FLC-DHTC system has a faster response performance, higher steady-state accuracy, and stronger ability to handle uncertainties.

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Optimization Based on Pattern Search Algorithm Applied to pH Non-Linear Control: Application to Alkalinization Process of Sugar Juice

Cited by 7 publications

References 34 publications

Spatiotemporal estimation of groundwater and surface water conditions by integrating deep learning and physics-based watershed models

Spatiotemporal estimation of groundwater and surface water conditions by integrating deep learning and physics-based watershed models

Parametric Curve Comparison for Modeling Floating Offshore Wind Turbine Substructures

Dynamic High-Type Interval Type-2 Fuzzy Logic Control for Photoelectric Tracking System

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