Paper
10 August 2023 Optimized control of ballast anti-heeling switching points for leveling barge
Zhongli Yao, Siyuan Wang, Zhizheng Gao
Author Affiliations +
Proceedings Volume 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023); 127590I (2023) https://doi.org/10.1117/12.2686367
Event: 2023 3rd International Conference on Automation Control, Algorithm and Intelligent Bionics (ACAIB 2023), 2023, Xiamen, China
Abstract
During the process of laying gravel, the inclination angle of the leveling barge needs to meet high-precision process requirements. However, the ballast anti-heeling system is susceptible to disturbance, which results in poor control performance. The use of adaptive feedforward PID controllers can directly compensate for load disturbances and eliminate the effects of interference. However, the valve pump switch is fixed at the beginning of the control cycle, and the fluctuation of the heeling angle is significant due to the load speed changes. To address the above issues, this paper proposes a control method that increases the degree of freedom of the valve pump switch time. The PSO algorithm is used to optimize the best switch time, and the switch time is shifted to the inside of the control cycle in the adaptive feedforward PID control strategy. Simulation results show that compared with the traditional fixed switch point strategy, the proposed strategy can maintain smooth fluctuations of heeling angle around the expected value when the load speed is constant or changing, and the RMSE is reduced without increasing the switch frequency.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhongli Yao, Siyuan Wang, and Zhizheng Gao "Optimized control of ballast anti-heeling switching points for leveling barge", Proc. SPIE 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023), 127590I (10 August 2023); https://doi.org/10.1117/12.2686367
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Switching

Mathematical optimization

Particle swarm optimization

Switches

Control systems

Adaptive control

Particles

Back to Top