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用于航空发动机的安全限制的短暂控制:基于数据的不同形态的ADP框架
Shuoshuo Liu1, Tao Sun1, Peng Li1
1The Key Laboratory of Intelligent Control and Optimization for Industrial Equipment, Ministry of Education, Dalian University of Technology, Dalian, 116024, China.
一个新的自适应动态编程 (ADP) 框架通过转换约束来确保飞机发动机在转换过程中的安全性. 这种数据驱动的方法提高了控制性能,并缩短了加速时间.
科学领域:
- 航空航天工程
- 控制理论
- 人工智能
背景情况:
- 飞机发动机控制需要管理复杂的短暂条件,同时遵守严格的安全限制.
- 现有的方法难以处理广泛的短暂变量和明确的约束执行.
- 制定可靠的控制策略,以确保飞机发动机的安全和有效运行至关重要.
研究的目的:
- 开发一个新的数据驱动的自适应动态编程 (ADP) 框架,用于安全限制的飞机发动机控制.
- 在广泛的短暂操作中明确执行状态和输入安全约束.
- 提高控制性能和减少航空发动机应用中的计算复杂性.
主要方法:
- 使用不同形变换来消除明确的状态约束,用虚拟输入和重新制定问题.
- 设计一个反向的过度触角屏障函数来处理输入约束,并应用贝尔曼的最佳性原理.
- 采用数据驱动的政策代方法来近似汉密尔顿 - 雅各比 - 贝尔曼方程并推导出最佳控制定律.
主要成果:
- 拟议的ADP框架成功执行了国家和输入安全约束.
- 在JT9D发动机上的模拟显示了安全和快速的运行条件转换.
- 与PID和PSO-MPC相比,该方法实现了优异的控制性能,将加速时间缩短了24.6%.
结论:
- 开发的基于数据的不同形态ADP框架为安全限制的飞机发动机控制提供了可行和稳定的解决方案.
- 这种方法在短暂条件下显著提高了控制性能和效率.
- 这项研究为现代飞机发动机控制系统带来了实践上的进步.
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