水下车辆的规定的时间性能控制,基于时间变化的干扰
Lingyu Li1, Hongde Qin1, Hai Huang1
1National Key Laboratory of Autonomous Marine Vehicle Technology, Harbin Engineering University, Harbin 150001, China.
ISA transactions
|December 11, 2025
概括
本研究介绍了水下机器人的先进控制器,它结合了模型预测控制 (MPC) 和规定的时间控制. 新系统提高了对海流和干扰的稳定性和控制效率.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统 控制系统
- 海洋工程 海洋工程
背景情况:
- 水下机器人系统需要增强的稳定性和控制效率.
- 海流和外部干扰对系统性能构成重大挑战.
- 像PID这样的传统控制算法可能无法充分解决复杂的,时间变化的环境.
研究的目的:
- 开发一个集成控制器,将模型预测控制 (MPC) 和水下机器人的规定的时间控制相结合.
- 引入一种新的时间控制器,用于直观而有效的融合时间确定.
- 提高系统应对海洋电流干扰的能力,并确保稳定性.
主要方法:
- 模型预测控制 (MPC) 与规定的时间控制的集成.
- 开发一种新的时间控制器,以实现性能趋同.
- 利用辐射基函数神经网络 (RBFNN) 和评估神经网络来应对海洋电流干扰.
- 为神经网络稳定性引入新的错误函数.
- 实现一个带有系统状态参数的MPC外环控制器.
主要成果:
- 拟议的控制器证明了水下机器人系统的增强强性和控制效率.
- 理论分析和模拟实验验证系统的稳定性.
- 对比分析显示,与传统的PID控制算法相比,性能优越.
- 海上试验实验证实了算法在复杂,时间变化的外部干扰环境中的有效性.
结论:
- 集成的MPC和规定的时间控制策略在水下机器人控制方面取得了重大进展.
- 新型神经网络方法有效地减轻了海洋电流干扰的影响.
- 开发的控制器确保了系统状态的顺过渡,并保持性能在极限内,在现实条件下证明有效.
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