Three-Spool Marine Gas Turbine Multi-Objective Switching Control System Design and Optimization

Ma, Yujia; Liu, Jinfu; Li, Qi; Liu, Huanpeng; Yu, Daren

doi:10.1016/j.ifacol.2021.10.193

Cited by 3 publications

(6 citation statements)

References 14 publications

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“…The sample classification interval d must be as large as possible in the ideal hyperplane, as shown in (16), it must let ‖𝜔‖ minimize. Therefore, solving the optimal classification hyperplane can be transformed into the dual problem of quadratic programming to solve.…”

Section: Support Vector Machinementioning

confidence: 99%

“…Sheng et al [15] used the least squares SVM optimized by particle swarm optimization algorithm to identify faults in ship power plants, with an accuracy of 95.6%. Ma et al [16] established a balanced manifold expansion model for marine three-axis gas turbine units and introduced a particle swarm optimization algorithm to modify the parameters. Xie et al [17] used a genetic algorithm to optimize the BPNN engine fault diagnosis model.…”

Section: Introductionmentioning

confidence: 99%

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Fault Diagnosis of Ship Ballast Water System Based on Support Vector Machine Optimized by Improved Sparrow Search Algorithm

Wang,

Cao,

et al. 2024

IEEE Access

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The key to reducing operation and maintenance costs and improving reliability is to evaluate the condition and fault detection methods of ship ballast water systems. To reduce the impact of support vector machine (SVM) parameter uncertainty and improve the accuracy of ship ballast water system fault diagnosis models, this paper proposes a multi-strategy collaborative improved sparrow search algorithm (ISSA) to optimize the parameters of SVM for fault diagnosis. First, ISSA initializes the population using tent chaotic maps to improve spatial distribution uniformity and stabilize the population quality. Second, the discoverer in the algorithm adopts an adaptive weighting strategy to avoid falling into local optima and accelerate the convergence speed. Finally, the follower position introduces mutation strategies and chaotic perturbations to enhance local evolution capabilities and improve the utilization of search areas. The experimental results show that compared with sparrow search algorithm (SSA), particle swarm optimization algorithm (PSO), Genetic Algorithm (GA), whale optimization algorithm (WOA), and grey wolf optimization algorithm (GWO), ISSA can obtain better optimal solutions at the fastest convergence rate on the benchmark test function. On the dataset of the ship ballast water system, the ISSA-SVM fault diagnosis model proposed in this paper has the best classification performance, with an average accuracy of 97.44%. Compared with the other two models, ISSA-SVM is 7.55% and 0.83% higher than SVM's 89.89% and SSA-SVM's 96.61%.

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Section: Support Vector Machinementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fault Diagnosis of Ship Ballast Water System Based on Support Vector Machine Optimized by Improved Sparrow Search Algorithm

Wang,

Cao,

et al. 2024

IEEE Access

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“…Switched systems have a wide range of applications in reality and have been a hot research topic for scholars in the control field for the past decades. [1][2][3][4][5] The optimization design of hybrid control sequences for the switched systems is particularly important because switched systems often need to be interchanged between multiple models. 4,5 In addition, the HJB (Hamilton-Jacobi-Bellman) equation for the switched system is a nonlinear difference or differential equation with multiple variables, and it is very difficult to obtain an analytical solution for solving such this equation.…”

Section: Introductionmentioning

confidence: 99%

“…[1][2][3][4][5] The optimization design of hybrid control sequences for the switched systems is particularly important because switched systems often need to be interchanged between multiple models. 4,5 In addition, the HJB (Hamilton-Jacobi-Bellman) equation for the switched system is a nonlinear difference or differential equation with multiple variables, and it is very difficult to obtain an analytical solution for solving such this equation. Although some methods have been proposed in the literature [6][7][8] to solve the optimal constrained control problem of the linear switched systems, these methods cannot be directly used to solve the optimal control problem of the nonlinear switched systems.…”

Section: Introductionmentioning

confidence: 99%

“…The switched system is a hybrid system consisting of subsystems and switched rules between subsystems. Switched systems have a wide range of applications in reality and have been a hot research topic for scholars in the control field for the past decades 1–5 . The optimization design of hybrid control sequences for the switched systems is particularly important because switched systems often need to be interchanged between multiple models 4,5 .…”

Section: Introductionmentioning

confidence: 99%

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Zero‐sum game optimal control for the nonlinear switched systems based on heuristic dynamic programming

2023

Optim Control Appl Methods

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In this article, the zero‐sum game problem of control and disturbance is studied for discrete affine nonlinear switched systems with unknown dynamical models. A two‐level heuristic dynamic programming iterative algorithm for solving the zero‐sum game problem is proposed, which can be used to solve the Hamilton‐Jacobi‐Isaacs equation associated with the optimal regulation control problem. The convergence analysis based on the value function and control strategy is given. For algorithm implementation, neural networks are used to approximate the control strategy, disturbance strategy, and value function of the game dynamic programming, respectively. A model network is used to approximate the system states with an unknown dynamical model. The iterative algorithm steps are given. Finally, the validity of the method is verified by simulation examples.

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Minimalization of Dissolved Heavy Hydrocarbon on Lean Solvent with Absorption Optimization

Kuswanto1,

Ainun,

Pinandito

et al. 2024

IJAEMR

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Pertamina EP DonggiMatindok Field has an Acid Gas Removal Unit (AGRU)which is an acid gas (H2S) separator unit that flows from the LP Separator. An increase of pressure differential occurred in the AGRU indicates a foaming tendency and impacting on decrease in sales gas. The well switch method was carried out to overcome foaming event by opening the manual valve in stages from 25%, 50%, 75% and 100% with waiting time of 30 minutes each stage. Besides, solvent flow adjustment is carried out using HYSYS simulation to find optimal solvent flow requirements through ratio of flow balance between feed gas and lean solvent. This method aims to minimize heavy hydrocarbons dissolved in the solvent by optimizing absorption process. After implementing this method, a decrease occurred in the average solvent flow of 2,308 BPD at 10 MMSCFD feed gas, the pressure differential relatively stable at 3-4 psig which indicate no foaming event. Laboratory result shows that Heavy Hydrocarbon Content parameter were 60 mg/L and Particulate Matter Content (>0.45µm) was 22 mg/L. This method also extends the lifecycle of the solvent and has an impact on reducing the solvent packaging waste which categorized as toxic and hazardous waste.

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Three-Spool Marine Gas Turbine Multi-Objective Switching Control System Design and Optimization

Cited by 3 publications

References 14 publications

Fault Diagnosis of Ship Ballast Water System Based on Support Vector Machine Optimized by Improved Sparrow Search Algorithm

Fault Diagnosis of Ship Ballast Water System Based on Support Vector Machine Optimized by Improved Sparrow Search Algorithm

Zero‐sum game optimal control for the nonlinear switched systems based on heuristic dynamic programming

Minimalization of Dissolved Heavy Hydrocarbon on Lean Solvent with Absorption Optimization

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