使用潜在场算法和自适应非线性PID的磁性微载体的自主导航和控制
Mohamed Sallam1,2, Mohamed A Shamseldin3, Fanny Ficuciello1
1ICAROS Lab, Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy.
这项研究引入了一个自适应非线性PID (A-NPID) 控制器,用于精确跟踪作为药物载体的微粒的轨迹. 该A-NPID控制器成功地自主引导微粒,即使在环境干扰下,也能最大限度地减少稳定状态误差.
科学领域:
- 生物医学工程 生物医学工程
- 控制系统 控制系统
- 纳米技术 纳米技术
背景情况:
- 微粒是重要的药物载体,需要精确的导航在体内.
- 在环境干扰中控制微粒子轨迹仍然是一个重大挑战.
研究的目的:
- 开发和验证适应性非线性PID (A-NPID) 控制器,用于自主微粒子轨迹跟踪.
- 在动态环境中解决传统控制器的局限性.
主要方法:
- 使用路径规划算法生成无碰撞轨迹.
- 在外力下的微粒子动力学.
- 设计并实施了自主导航的A-NPID控制法.
- 在液体容器中用100微米微粒进行了体外实验.
主要成果:
- 通过A-NPID控制器,在预定义的无碰撞路径上实现自主导航.
- 在达到目标位置时,达到最低稳定状态误差为4μm.
- 与标准PID控制器相比,表现出优异的性能,该控制器表现出性能下降.
结论:
- 在复杂的环境中,A-NPID控制器为微粒提供了强大而准确的轨迹跟踪.
- 这种适应性控制策略提高了基于微粒的药物输送系统的可靠性.
- 实验和模拟结果证实了拟议的A-NPID控制器的有效性.
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