冗余电磁执行器的多目标优化配置,用于对活性磁轴承系统的耐故障控制
Shuai Deng1, Xin Cheng2, Huachun Wu2
1School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, China.
ISA transactions
|July 6, 2023
概括
本研究提出了一个新的框架,用于在活性磁轴承 (AMB) 系统中配置电磁执行器 (EMA),以提高故障耐受性. 该方法优化了EMA配置,以提高系统可靠性和故障条件下的性能.
科学领域:
- 控制工程 控制工程 控制工程
- 机械电子学是什么意思 机械电子学
- 机器人技术 机器人技术 机器人技术
背景情况:
- 活性磁轴承 (AMB) 系统需要耐故障的控制策略来确保操作可靠性.
- 在AMB系统中的电磁执行器 (EMA) 容易发生故障,需要强大的配置方法.
- 在容错AMB系统中用于EMA配置的现有方法涉及复杂的,高维的非线性优化问题.
研究的目的:
- 在耐故障AMB系统中开发EMA多目标优化配置 (MOOC) 的一般框架.
- 结合先进的优化算法,以实现高效和多样化的解决方案搜索.
- 在4-DOF AMB平台上通过数值模拟和实验测试来验证拟议的框架.
主要方法:
- 整合非主导排序基因算法III (NSGA-III) 和MOOC的顺序二次编程 (SQP).
- 在优化框架内系统地设计目标并处理复杂的约束.
- 通过类似于理想解决方案 (TOPSIS) 来选择最佳配置的订单偏好技术的应用.
主要成果:
- 开发的框架成功地搜索了非劣质的EMA配置,证明了可行性.
- 数字模拟揭示了非线性优化模型变量对AMB性能的影响.
- 在4-DOF AMB平台上的实验验证证证了所识别的配置的有效性.
结论:
- 拟议的MOOC框架为AMB系统的故障耐受性控制提供了一种新有效的方法.
- 该方法在解决EMA/放大器故障方面提供了良好的性能和高可靠性.
- 这项工作为关键AMB应用中具有挑战性的EMA MOOC问题提供了强有力的解决方案.
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