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四旋翼飞行轨迹的跟踪使用了结合的随机模型无位置和基于DDPG的态度控制
Roujin Mousavifard1, Khalil Alipour1, Mohamad Amin Najafqolian1
1Advanced Service Robots (ASR) Laboratory, Department of Mechatronics Eng., School of Intelligent Systems Engineering, College of Interdisciplinary Science and Technology, University of Tehran, PO-Box 1439957131, Tehran, Iran.
这项研究介绍了一种用于四旋翼飞行轨迹跟踪的新型无模型级联控制器. 它通过解决噪声而提高稳定性和准确性,而不会简化四旋翼动力学.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 航空航天工程 航空航天工程
- 人工智能的人工智能
背景情况:
- 四旋翼飞行轨迹跟踪对于诸如空中监视和交付等应用至关重要.
- 现有的方法通常依赖于简化或线性化的四旋翼动力学,限制了它们的适用性.
- 没有模型的方法可以在没有精确的动态模型的情况下实现可靠的控制.
研究的目的:
- 开发和评估一款用于有效追踪四旋翼飞行轨迹的新型级联控制器.
- 实施一种免于模型的方法,避免简化和线性化假设.
- 为了在工艺和测量噪声下确保稳健的性能.
主要方法:
- 利用一种新的线性二次跟踪方法来控制位置,并结合了过程和测量噪声.
- 使用深度决定性政策梯度 (DDPG) 算法与非线性态度控制的演员关键网络.
- 对无随机模型控制方法进行稳定性分析.
主要成果:
- 拟议的控制器展示了有效的四旋翼飞行轨迹跟踪能力.
- 无模型方法成功地处理了态度控制中的非线性.
- 模拟证实了控制器能够确保准确的跟踪和稳定性的能力.
结论:
- 开发的级联控制器为四旋翼飞行轨迹跟踪提供了强大而有效的解决方案.
- 无模型策略增强了在更广泛的操作场景中应用的可能性.
- 这种方法为四旋翼控制提供了一个稳定而准确的方法,而不需要精确的动态模型.
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