Comparison of Various Controller Parameters Optimization Strategies for Industrial Processes Using Different Control Performance Assessment Indexes

Bogusz, Konrad; Rajkowski, Bartosz; Domański, Paweł D.

doi:10.14313/par_233/27

Cited by 1 publication

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References 12 publications

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“…It is necessary to determine proper fitness functions to obtain appropriate optimization results for the depth controller. For this paper, three functions commonly used in mathematics were formulated [35,36]. The first is Integral Absolute Error (ISA), the sum of the absolute values of the error signals e(k) in all simulation steps.…”

Section: Fitness Functionmentioning

confidence: 99%

Selection of the Depth Controller for the Biomimetic Underwater Vehicle

Przybylski

2023

Electronics

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The aim of this paper is to select a depth controller for innovative biomimetic underwater vehicle drives. In the process of optimizing depth controller settings, two classical controllers were used, i.e., the proportional–integral–derivative (PID) and the sliding mode controllers (SM). The parameters of the regulators’ settings were obtained as a result of optimization by three methods of the selected quality indicators in terms of the properties of the control signal. The starting point for the analysis was simulations conducted in the MATLAB environment for the three optimization methods on three types of indicators for three different desired depth values. The article describes the methods and quality indicators in detail. The paper presents the results of the fitness function obtained during the optimization. Moreover, the time courses of the vehicle position relative to the desired depth, the side fin deflection angles, the calculated parameters of the control signals, and the observations and conclusions formulated in the research were presented.

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Section: Fitness Functionmentioning

confidence: 99%

Selection of the Depth Controller for the Biomimetic Underwater Vehicle

Przybylski

2023

Electronics

View full text Add to dashboard Cite

show abstract

Comparison of Various Controller Parameters Optimization Strategies for Industrial Processes Using Different Control Performance Assessment Indexes

Cited by 1 publication

References 12 publications

Selection of the Depth Controller for the Biomimetic Underwater Vehicle

Selection of the Depth Controller for the Biomimetic Underwater Vehicle

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