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Title:Ship motion control based on AMBPS-PID algorithm
Authors:L. Wang, Q. Wu, J. Liu, S. Li, R.R Negenborn

Journal:IEEE Access

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 debugging PID parameters to off-line and on-line debugging 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 manual debugging, AMBPS-PID algorithm has a better adaptive control effect on ship motion control, reduces the error of manual debugging parameters and improves efficiency.

Reference:L. Wang, Q. Wu, J. Liu, S. Li, R.R Negenborn. Ship motion control based on AMBPS-PID algorithm. IEEE Access, vol. 7, no. 1, pp. 183656-183671, December 2019. Open access.
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