间隔式II型模糊故障耐受控制用于受约束的不确定的2DOF机器人多代理系统,具有主动故障检测
Wen Yan1, Haiyan Tu1, Peng Qin1
1College of Electrical Engineering, Sichuan University, Chengdu 610065, China.
Sensors (Basel, Switzerland)
|July 11, 2023
概括
本研究介绍了机器人多代理系统的适应性模糊故障耐受性控制,以提高在执行器故障和约束下的稳定性. 新型主动故障检测确保了预定义的准确性与更流的控制输入.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统 控制系统
- 人工智能的人工智能
背景情况:
- 机器人多代理系统面临着执行器故障和输入限制的挑战.
- 现有的容错控制方法可能无法保证预定义的准确性或流的控制输入.
研究的目的:
- 开发一种适应间隔的II型模糊故障耐受性控制,用于受约束的不确定的2DOF机器人多代理系统.
- 引入一种新的主动故障检测算法,以便及时识别故障.
主要方法:
- 提出了一种使用脉冲波函数的新型主动故障检测算法.
- 设计了一个基于主动故障检测的切换策略,用于故障耐受性控制.
- 开发了一个适应式间隔II型模糊控制器来处理不确定性和冗余输入.
主要成果:
- 拟议的方法可以在输入和和执行器故障的情况下实现预定义精度稳定性.
- 主动故障检测策略在多代理系统中首次被应用.
- 与现有方法相比,自适应性模糊故障耐受控制器可确保更流的控制输入.
结论:
- 新型自适应间隔II型模糊故障耐受性控制有效地解决了机器人多代理系统中的约束和不确定性.
- 集成主动故障检测可以提高系统的可靠性和性能.
- 模拟结果验证了理论发现和拟议方法的优越性.
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