使用分布式模型预测控制控制变压器检查机器人的轨迹跟踪控制
Lai Wei1, Guofei Xiang1, Congjun Ma1
1College of Electrical Engineering, Sichuan University, Chengdu 610065, China.
Sensors (Basel, Switzerland)
|November 25, 2023
概括
本研究介绍了用于变压器检查机器人的分布式模型预测控制 (DMPC). DMPC方法提高了轨迹跟踪的准确性和稳定性,同时简化了机器人在狭小空间中的计算.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统工程 控制系统工程
- 机械工程 机械工程
背景情况:
- 在变压器油中跟踪检查机器人轨迹存在重大挑战.
- 现有的控制方法可能缺乏限制环境所需的精度和效率.
研究的目的:
- 为在变压器内部运行的检查机器人开发有效的运动控制策略.
- 在具有挑战性的水下环境中增强轨迹跟踪的准确性和稳定性.
- 为了减少实时机器人控制应用程序的计算复杂性.
主要方法:
- 使用拉格朗奇方程在变压器油中建立了机器人动力学和动力学模型.
- 应用非线性模型预测控制 (NMPC) 与分布式控制理论相结合.
- 将机器人运动解成五个独立的分部系统,用于分布式模型预测控制 (DMPC).
主要成果:
- 基于DMPC的机器人运动控制系统表现出高跟踪精度.
- 该系统在模拟的变压器油环境中表现出显著的稳定性.
- 与传统控制方法相比,实现了较低的计算复杂性.
结论:
- 拟议的DMPC方法为机器人运动控制在狭窄的,充满流体的环境中提供了有效的解决方案.
- 这种方法提高了像变压器这样的复杂机械内部自主检查任务的可行性.
- 该DMPC战略为水下机器人提供了一个强大的和计算效率高的控制框架.
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