低计算复杂性的模型预测控制,用于高速三水轮减速运动
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Updated: Jan 13, 2026

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters
Published on: February 16, 2019
Zhiyuan Huang1, Jun Zhang1, Zhilin Liu2
1School of Electrical Information Engineering, Jiangsu University, Zhenjiang, 212013, China.
本研究引入了一个低复杂度的预测控制框架,用于减少三轮船运动. 这种新的方法显著减少了升降和俯冲运动,实现了实时可行性,以提高海上稳定性.
科学领域:
- 海洋工程 海洋工程
- 控制系统工程 控制系统工程
- 海军建筑 海军建筑
背景情况:
- 模型预测控制 (MPC) 面临着高的计算复杂性,以减少三轮船运动.
- 现有的方法在动态的海洋环境中难以实时实现和提高效率.
研究的目的:
- 开发一个计算效率高的预测控制框架,用于减少三水轮运动.
- 确保在具有挑战性的海洋条件下稳定性和有效性.
主要方法:
- 一个低复杂度的预测控制框架,整合了三个机制:最佳基线与辅助变量,Laguerre函数参数化用于维度压缩,以及双约束触发机制用于自适应优化频率降低.
- 输入到状态稳定性 (ISS) 通过终端约束的利亚普诺夫理论建立.
主要成果:
- 在Sea State 4模拟下,降低了58.61%的升空位移和50.27%的俯仰角.
- 实时可行性证明,100步视界的计算时间为36毫秒,适用于50毫秒的控制周期.
- 通过实验性测试在1:10尺度的三轮船上验证了实际有效性.
结论:
- 提出的低复杂度预测控制框架有效地减少了三级船运动的计算效率.
- 该方法为海事应用中的实时运动控制提供了实用解决方案.
- 实现了显著的运动减少和稳定性,证实了其在作战中使用的潜力.
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