Study on a new and effective fuzzy PID ship autopilot

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

doi:10.1007/s10015-004-0313-9

Cited by 21 publications

(2 citation statements)

References 3 publications

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“…The traditional controller commonly used in ship motion control is the proportional integral derivative (PID) controller [2][3][4]. This is a controller with a simple structure, but the quality of the control system is not high.…”

Section: Introductionmentioning

confidence: 99%

The optimal control system of the ship based on the linear quadratic regular algorithm

Nguyen

Vuong

2020

IJECE

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In this paper, the authors propose an optimal controller for the ship motion. Firstly, the model and dynamic equations of the ship motion are presented. Based on the model of the ship motion, the authors build the linear quadratic regular algorithm-based control system of ship motion to minimize the error between the desired trajectory and the response trajectory. The task of the controller is to control the trajectory of the ship to coincide with the desired trajectory. The ship model and controller are built to investigate the system quality through Matlab-Simulink software. The results show that the quality of the hold control system is very high. The trajectory of a ship always follows the desired trajectory with very small errors.

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Section: Introductionmentioning

confidence: 99%

The optimal control system of the ship based on the linear quadratic regular algorithm

Nguyen

Vuong

2020

IJECE

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“…The performance of conventional ship autopilots in various environmental conditions is not as good as desired. However, this disadvantage can be overcome by using a fuzzy PID controller [2]. Yu-Yi Fu et al integrates particle swarm optimization and genetic algorithm methods to perform the optimum design of a fuzzy PID controller [3].…”

Section: Introductionmentioning

confidence: 99%

Error Compensation in Turning Operation of Slender Shaft Using a Fuzzy PID Controller

Guo

Chen

2010

AMR

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Turning operation of slender shaft poses a great challenge in machining field. It is due to the fact that the accuracy of machined workpiece depends almost completely on the operator’s skill by using conventional methods. To improve the accuracy of slender shaft with less operation skill, this paper presents an error compensation system, which includes a fuzzy PID controller. As a part of the controller, the traditional PID controller is used to control a follower rest for improving the dimensional accuracy. And the fuzzy controller incorporates skilled operators’ knowledge into an automatic machining system. At the end, turning experiments are carried out to verify the efficacy of the error compensation system. The experimental results indicate that the dimensional accuracy of slender shaft using the system is higher and more stable than that by using conventional methods.

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Error-driven-based adaptive nonlinear feedback control of course-keeping for ships

Zhang

et al. 2020

J Mar Sci Technol

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Study on a new and effective fuzzy PID ship autopilot

Cited by 21 publications

References 3 publications

The optimal control system of the ship based on the linear quadratic regular algorithm

The optimal control system of the ship based on the linear quadratic regular algorithm

Error Compensation in Turning Operation of Slender Shaft Using a Fuzzy PID Controller

Error-driven-based adaptive nonlinear feedback control of course-keeping for ships

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