一个灵活的操纵器的强大的跟踪控制与有限的控制输入,基于后退和纳斯姆函数的功能
Jia Tan1, ShiLong Chen1, ZhengQiang Li2
1Kunming University of Science and Technology, Kunming 650500, China.
Mathematical biosciences and engineering : MBE
|December 21, 2023
概括
这项研究通过使用后退和Nussbaum函数来解决外部干扰和执行器限制,增强了灵活的操纵器控制. 新方法确保了精确的态度跟踪和在具有挑战性的条件下强大的性能.
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
- 机械电子学是什么意思 机械电子学
背景情况:
- 灵活的操纵器是必不可少的自动化设备,但受到外部干扰和执行器控制限制的影响.
- 这些局限性大大降低了灵活的操纵器系统中跟踪控制的精度.
- 现有的控制策略往往难以在这些综合挑战下保持性能.
研究的目的:
- 为灵活的操纵器开发一种有效的态度跟踪控制策略.
- 为了应对外部干扰和控制输入限制所带来的挑战.
- 为了提高灵活的操纵器控制系统的精度和稳定性.
主要方法:
- 使用后退方法来精确跟踪状态和拒绝干扰.
- 采用了Nussbaum基于功能的设计,以克服执行器的控制输入限制.
- 在MATLAB/Simulink中进行了比较数值模拟以验证.
主要成果:
- 拟议的控制策略表明,尽管存在外部干扰,但态度跟踪是有效的.
- 努斯姆函数成功地减轻了控制输入限制的影响.
- 模拟证实了控制方法的稳定性和可靠性.
结论:
- 结合后退和Nussbaum函数方法,为灵活的操纵器控制提供了一个强大的解决方案.
- 这一策略在存在重大外部干扰和执行器约束的情况下提高性能.
- 这些发现有助于灵活的机器人系统更可靠,更精确地运行.
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