Adaptive Self-Regulation PID Control of Course-Keeping for Ships

Zhang, Qiang; Ding, Zhongyu; Zhang, Meijuan

doi:10.2478/pomr-2020-0004

Cited by 18 publications

(19 citation statements)

References 9 publications

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“…erefore, it is necessary to design a robust controller to overcome external disturbances to ensure that the ship sails along the set route. In response to this problem, many scholars have proposed many advanced control algorithms, such as PID [1,2], sliding mode [3,4], backstepping, radial basis function (RBF) neural network [5][6][7][8][9], fuzzy [10][11][12], and other control algorithms [13,14]. In [13], an elliptical target encircling control policy of quadrotors subject to uncertainties and aperiodic signals updating based on pure bearing measurements was proposed and its e ectiveness was veri ed by simulation.…”

Section: Introductionmentioning

confidence: 99%

A Nonlinear Power Feedback Improvement of the Ship Course-Keeping Controller

Su²,

Zhang

et al. 2022

Mathematical Problems in Engineering

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In order to simplify the design process of the controller, improve the robustness of the system, and save the energy output of the controller, a controller improved by nonlinear feedback is designed. First of all, by constructing the Lyapunov function, the controller design process is simplified, and the nonlinear control law is avoided to cancel the nonlinear term of the system; then, the heading error processed by the power function is used to replace the nonlinear feedback term of the heading error itself; finally, the training ship “Yupeng” was used as an example for system simulation. Compared with the pure backstepping method, the simulation results show that the average energy cost of heading keeping of the proposed algorithm is reduced by 21.7%, and the maximum energy cost of heading tracking is reduced by 34.9%, with the strong anti-interference ability. Studies have shown that the introduction of nonlinear feedback terms can optimize the control system, save energy, and enhance robustness, which is of great significance in practical engineering applications.

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Section: Introductionmentioning

confidence: 99%

A Nonlinear Power Feedback Improvement of the Ship Course-Keeping Controller

Su²,

Zhang

et al. 2022

Mathematical Problems in Engineering

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“…In the traditional method, the dynamic cost control of marine shery culture is based on the cost parameter analysis [3][4][5][6], combined with the quantitative equilibrium analysis method, the dynamic cost control of marine shery culture is carried out, and the cost analysis model of marine shery culture based on adaptive game equilibrium model is proposed in reference [7,8]. e cost control method of marine shery culture based on the principal component analysis method is proposed by Oken and Essington [9,10]. However, in the cost analysis, there are some problems, such as over dispersion and easy to fall into local optimization, which lead to low reliability of the results.…”

Section: Introductionmentioning

confidence: 99%

Application of Big Data Analysis in Cost Control of Marine Fishery Breeding

2022

Discrete Dynamics in Nature and Society

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In order to improve the stability of the cost control of marine fishery culture, a method of controlling the cost of marine fishery culture based on big data analysis algorithm was proposed. We establish the cost analysis model of marine fishery, use the big data correlation analysis method to conduct distributed mining on the cost characteristics of marine fishery, deeply grasp the relevance of data characteristics, use the information fusion method to build the constraint parameter analysis model of aquaculture cost operation, limit the amount of calculation, and use the adaptive neural network weighted training method to adaptively optimize the cost control to avoid falling into local optimization. The objective model of aquaculture cost control is established, and the cost constraint is carried out by the parameter optimization method. The statistical feature quantity of marine fishery cost control is obtained, and the cost control of marine fishery is realized by the feature recombination method. The simulation results show that this method is more stable in the cost control of marine fishery culture and improves the adaptability of the cost control of marine fishery culture.

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“…The first target, called dynamic positioning (DP), involves station keeping, position mooring and dynamic tracking control at low speed [17][18][19][20][21]. High-speed steering includes automatic heading control [22][23][24][25][26][27][28][29][30], high speed position tracking [31][32][33][34][35][36], path following [37][38][39][40], roll motion control [41][42][43] and formation control [44,45].…”

Section: Introductionmentioning

confidence: 99%

Control of Dynamic Positioning System with Disturbance Observer for Autonomous Marine Surface Vessels

Tomera

Podgórski

2021

Sensors

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The main goal of the research is to design an efficient controller for a dynamic positioning system for autonomous surface ships using the backstepping technique for the case of full-state feedback in the presence of unknown external disturbances. The obtained control commands are distributed to each actuator of the overactuated vessel via unconstrained control allocation. The numerical hydrodynamic model of CyberShip I and the model of environmental disturbances are applied to simulate the operation of the ship control system using the time domain analysis. Simulation studies are presented to illustrate the effectiveness of the proposed controller and its robustness to external disturbances.

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Adaptive Self-Regulation PID Control of Course-Keeping for Ships

Cited by 18 publications

References 9 publications

A Nonlinear Power Feedback Improvement of the Ship Course-Keeping Controller

A Nonlinear Power Feedback Improvement of the Ship Course-Keeping Controller

Application of Big Data Analysis in Cost Control of Marine Fishery Breeding

Control of Dynamic Positioning System with Disturbance Observer for Autonomous Marine Surface Vessels

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