Abstract
Intelligent motion control is one of the key technologies of ships. This paper studies the application of Adaptive Mutation Beetle Particle Swarm (AMBPS)-PID algorithm in ship motion control. Firstly, the ship MMG model is established. Then the BAS algorithm is introduced, and AMBPS algorithm is improved and designed on this basis. Secondly, ship heading and path following controllers are designed according to the algorithm, and rudder turning rate constraint is introduced to limit the rudder angle. Thirdly, through the test function effect analysis of AMBPS and other similar algorithms, the improved effect of this algorithm is verified. Finally, from manual tuning PID parameters to off-line and on-line optimizing parameters based on AMBPS algorithm, the optimal control parameters are obtained step by step, and the optimal heading and path following simulation results are achieved. Compared with the results of traditional PID, AMBPS-PID algorithm has a better adaptive control effect on ship motion control, reduces the error of manual tuning parameters and improves efficiency.
Highlights
The main problems of ship motion control are the uncertainty of ship dynamics, random environmental disturbance and inaccuracy of measurement information [1]
Based on the simulation analysis, the conclusions of this paper are as follows: 1) The rudder turning rate control is introduced into the motion controller, which makes the control results more in line with the actual ship situation
3) Adaptive Mutation Beetle Particle Swarm (AMBPS) algorithm can optimize the parameters of PID with fewer iterations, which shows that the efficiency of this algorithm is better
Summary
The main problems of ship motion control are the uncertainty of ship dynamics, random environmental disturbance and inaccuracy of measurement information [1] For these reasons, researchers have carried out various control methods to effectively reduce the impact of these reasons, such as PID (proportion, integral and derivative), fuzzy control, predictive control, sliding mode control and other basic algorithms or their improved algorithms. Researchers have carried out various control methods to effectively reduce the impact of these reasons, such as PID (proportion, integral and derivative), fuzzy control, predictive control, sliding mode control and other basic algorithms or their improved algorithms Among these algorithms, the PID controller is the most widely used controllers with simple and fast characteristics. One of them is that the fixed parameters of the PID controller
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
