Study on a new and effective fuzzy PID ship autopilot

Le, Minh-Duc; Nguyen, Si-Hiep; Nguyen, Lan-Anh

doi:10.1007/bf02678891

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…The latter two are the outputs of our FLCs. We preferred to use FLCs derived from classical controllers, as in many applications in literature [3,5,6] to exploit both the advantages of fuzzy logic and classical control. As a result, the error between the desired and the actual heading and speed are used as controller inputs with their integrals and derivatives.…”

Section: Architecture Of the Flcmentioning

confidence: 99%

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Implementation of Fuzzy Control for Surface Platforms in a Computer Generated Forces Toolkit

Senyurek

Koksal

Genç

et al. 2008

2008 International Conference on Computational Intelligence for Modelling Control &Amp; Automation

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Realistic models and realistic control is vital to reach a sufficient fidelity in military simulation projects including surface platforms. In this study, a fuzzy logic controller (FLC) is implemented in conjunction with environment models and platform motion models possessing high-fidelity. The former one considers waves, current, wind, season, day and night while the latter trusts on complex motion equations, including the effect of hydrodynamic force-moments and their high performance is proved by comparison with real cruise data. The FLC is optimized with a recently introduced method, namely Big Bang-Big Crunch algorithm. After all, the controllers are integrated to the component architecture of VR-Forces, which is a commercial framework for developing Computer Generated Forces (CGF) applications.

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Section: Architecture Of the Flcmentioning

confidence: 99%

“…Some applications show that FLC performance is already superior in both course changing and course keeping duties than classical PID [3,4,5,6,8,9]. FLCs outperform classical PIDs especially for changing environmental conditions, where online tuning of PID control parameters are needed [5,6,8].…”

Section: Introductionmentioning

confidence: 98%

Implementation of Fuzzy Control for Surface Platforms in a Computer Generated Forces Toolkit

Senyurek

Koksal

Genç

et al. 2008

2008 International Conference on Computational Intelligence for Modelling Control &Amp; Automation

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“…In ship motion control, usually two kinds of mathematical models are available, i.e., control-design models and high-fidelity models [1]. A precise mathematical model of the plant allows one to design a satisfactory controller by applying some conventional control strategies such as linearization feedback control [16], PID control [17], and adaptive control [18]. However, the ship dynamics is inevitably affected by some uncertainties, which might degrade the controller performance if the uncertainties are not properly compensated for or suppressed in the controller design.…”

Section: Introductionmentioning

confidence: 99%

Control for Ship Course-Keeping Using Optimized Support Vector Machines

Luo

Cong

2016

Algorithms

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Support vector machines (SVM) are proposed in order to obtain a robust controller for ship course-keeping. A cascaded system is constructed by combining the dynamics of the rudder actuator with the dynamics of ship motion. Modeling errors and disturbances are taken into account in the plant. A controller with a simple structure is produced by applying an SVM and L2-gain design. The SVM is used to identify the complicated nonlinear functions and the modeling errors in the plant. The Lagrangian factors in the SVM are obtained using on-line tuning algorithms. L2-gain design is applied to suppress the disturbances. To obtain the optimal parameters in the SVM, then particle swarm optimization (PSO) method is incorporated. The stability and robustness of the close-loop system are confirmed by Lyapunov stability analysis. Numerical simulation is performed to demonstrate the validity of the proposed hybrid controller and its superior performance over a conventional PD controller.

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Control of Ship Roll and Yaw Angles During Turning Motion

Göksu

Bayramoğlu

2021

Marine Science and Technology Bulletin

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The aim of this paper is Ships are exposed to assorted hydrodynamic forces originating from internal and external influences. The adverse effect of rolling caused by turning motion should be reduced with anti-rolling systems, to ensure safe navigation. If this effect is not eliminated, it may prevent the ship from keeping its course safely. In this study, fin stabilizer system the computational analysis of the roll motion formed by the turning motion and wave effect is included in fin stabilizer system. The rudder motion that allows the ship to have the desired maneuvering angle; calculations of the fin system, which decreases the excessive roll moment, and the roll motion caused by these two effects are examined using MATLAB software. The analysis period has been determined as 300 seconds, which is the time to reach the desired turning angle of the ship. Linear quadratic tracking (LQT) algorithm has been used to solve partially unknown continuous-time problems such as roll motion in this study.

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Study on a new and effective fuzzy PID ship autopilot

Cited by 3 publications

References 3 publications

Implementation of Fuzzy Control for Surface Platforms in a Computer Generated Forces Toolkit

Implementation of Fuzzy Control for Surface Platforms in a Computer Generated Forces Toolkit

Control for Ship Course-Keeping Using Optimized Support Vector Machines

Control of Ship Roll and Yaw Angles During Turning Motion

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