Control system research in wave compensation based on particle swarm optimization

Gang Tang,Shaoyang Men,Peng Lu,Xiong Hu

doi:10.1038/s41598-021-93973-4

Gang Tang, Shaoyang Men + Show 2 more

Open Access

https://doi.org/10.1038/s41598-021-93973-4

Copy DOI

Abstract

For the offshore wave compensation control system, its controller setting will directly affect the platform's compensation effect. In order to study the wave compensation control system and optimization strategy, we build and simulate the wave compensation control model by using particle swarm optimization (PSO) to optimize the controller's control parameters and compare the results with other intelligent algorithms. Then we compare the response errors of the wave compensation platform under different PID controllers; and compare the particle swarm algorithm's response results and the genetic algorithm to the system controller optimization. The results show that the particle swarm algorithm is 63.94% lower than the genetic algorithm overshoot, and the peak time is 0.26 s lower, the adjustment time is 1.4 s lower than the genetic algorithm. It shows that the control effect of the wave compensation control system has a great relationship with the controller's parameter selection. Meanwhile, the particle swarm optimization algorithm's optimization can set the wave compensation PID control system, and it has the optimization effect of small overshoot and fast response time. This paper proposes the application of the particle swarm algorithm to the wave compensation system. It verifies the superiority of the method after application, and provides a new research reference for the subsequent research on the wave compensation control systems.

Highlights

For the offshore wave compensation control system, its controller setting will directly affect the platform’s compensation effect
In terms of controller design of wave compensation system, PID controller is the earliest proposed controller based on feedback, with simple structure and wide applicability, and it is widely used in compensation control systems
For the wave compensation platform under the PID controller, when the particle swarm algorithm is used to solve the optimization problem, the particles are the values of PID parameters Kp, Ki, Kd, and the optimal solution of the problem corresponds to the position of the particle in the search space

Summary

Introduction

For the offshore wave compensation control system, its controller setting will directly affect the platform’s compensation effect. For the controllers of wave compensation platforms, optimization strategies based on intelligent algorithms have received more and more attention and development.

Results

Conclusion