The Optimization of Marine Diesel Engine Rotational Speed Control Process by Fuzzy Logic Control Based on Particle Swarm Optimization Algorithm

Tran, Tien Anh

doi:10.3390/fi10100099

Cited by 13 publications

(4 citation statements)

References 19 publications

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“…There are typical nonlinearity, timevarying, uncertainty, and manual active intervention in the control process of ship main engine speed. Therefore, the traditional PID controller is difficult to obtain the optimal control performance [4,5]. An improved PID tuning method was proposed for marine diesel engine governors to overcome load fluctuation due to weather and sea conditions [1].…”

Section: Introductionmentioning

confidence: 99%

“…In order to improve the robustness of ship engine speed control, active disturbance rejection controller was presented in [2,6], and robust control method was recommended in [7,8]. To optimize the control parameters, several intelligent algorithms have been used to achieve better control performance, such as fuzzy logic comprehension [3,4], GA optimization [5], and Neural Network adaption [9].…”

Section: Introductionmentioning

confidence: 99%

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Concise Robust Control of Marine Engine Speed Based on Backstepping and Its Fuzzy Comprehension

Wang

2019

Complexity

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In this paper, a concise robust control law based on Backstepping for marine engine speed regulation is presented with the uniform asymptotic stability of the closed-loop system proved by Lyapunov synthesis, and the control parameters have obvious physical meaning. Furthermore, parameter determination method is given by virtue of closed-loop gain shaping algorithm. To overcome the perturbation due to load or interference change, variable universe fuzzy inference is introduced to optimize the control system on-line. Compared with the existing research literature, the design method and performance of the controller are more in line with the ocean engineering practice. The results of the simulations of the proposed controller are presented and compared.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Concise Robust Control of Marine Engine Speed Based on Backstepping and Its Fuzzy Comprehension

Wang

2019

Complexity

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“…The authors of [3] suggest a solution in which the employment of fuzzy logic control theory for primary diesel engine speed control is associated with particle swarm optimization to achieve the optimal arrangement of the membership functions. The obtained results are promising, but the use of the proposed method also has some drawbacks since it is complicated and requires a high degree of operators.…”

Section: A Short Review Of the Contributions In This Special Issuementioning

confidence: 99%

Special Issue “New Perspectives in Intelligent Transportation Systems and Mobile Communications towards a Smart Cities Context”

2019

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Intelligent transportation solutions and smart information and communication technologies will be the core of future smart cities. For this purpose, these topics have captivated noteworthy interest in the investigation and construction of cleverer communication protocols or the application of artificial intelligence in the connection of in-vehicle devices by wireless networks, and in in-vehicle services for autonomous driving using high-precision positioning and sensing systems. This special issue has focused on the collection of high-quality papers aimed at solving open technical problems and challenges typical of mobile communications for Intelligent Transportation Systems.

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“…However, this technique proves ineffective when the inertia of the driving machine is comparable to that of the load device [20]. In addition to these conventional approaches, advanced control strategies, such as sliding mode controller [21], model predictive control [22], fuzzy logic [23], neural networks [24,25], and optimization algorithms [26], have been proposed for speed controller optimization. These solutions exhibit improved dynamic properties and robustness against parameter changes.…”

Section: Introductionmentioning

confidence: 99%

Design of Intelligent Nonlinear H2/H∞ Robust Control Strategy of Diesel Generator-Based CPSOGSA Optimization Algorithm

et al. 2023

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In today’s human society, diesel generators (DGs) are widely applied in the human energy and electricity supply system due to its technical, operational, and economic advantages. This paper proposes an intelligent nonlinear H2/H∞ robust controller based on the chaos particle swarm gravity search optimization algorithm (CPSOGSA), which controls the speed and excitation of a DG. In this method, firstly, establish the nonlinear mathematical model of the DG, and then design the nonlinear H2/H∞ robust controller based on this. The direct feedback linearization and the H2/H∞ robust control theory are combined and applied. Based on the design of the integrated controller for DG speed and excitation, the system’s performance requirements are transformed into a standard robust H2/H∞ control problem. The parameters of the proposed solution controller are optimized by using the proposed CPSOGSA. The introduction of CPSOGSA completes the design of an intelligent nonlinear H2/H∞ robust controller for DG. The simulation is implemented in MATLAB/Simulink, and the results are compared with the PID control method. The obtained results prove that the proposed method can effectively improve the dynamic accuracy of the system and the ability to suppress disturbances and improve the stability of the system.

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The Optimization of Marine Diesel Engine Rotational Speed Control Process by Fuzzy Logic Control Based on Particle Swarm Optimization Algorithm

Cited by 13 publications

References 19 publications

Concise Robust Control of Marine Engine Speed Based on Backstepping and Its Fuzzy Comprehension

Concise Robust Control of Marine Engine Speed Based on Backstepping and Its Fuzzy Comprehension

Special Issue “New Perspectives in Intelligent Transportation Systems and Mobile Communications towards a Smart Cities Context”

Design of Intelligent Nonlinear H2/H∞ Robust Control Strategy of Diesel Generator-Based CPSOGSA Optimization Algorithm

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