对于不确定的两轮驱动移动机器人来说,具有参数优化的确定性强有力的控制
Qilin Wu1, Fei Lin2, Han Zhao2
1School of Advanced Manufacturing Engineering, Hefei University, Hefei 230601, China.
ISA transactions
|December 16, 2023
概括
本研究引入了模糊集合理论,通过解决不确定性来提高移动机器人的控制精度. 拟议的模糊稳固控制方法提高了系统性能,并优化了高精度工程应用的参数.
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
- 模糊的逻辑 模糊的逻辑
背景情况:
- 移动机器人控制精度受到不确定性限制,阻碍了高精度应用.
- 模糊集合论提供了一个框架来建模和管理系统的不确定性.
- 现有的控制方法可能无法充分解决稳定性和性能优化问题.
研究的目的:
- 开发一个模糊的移动机器人系统,以提高控制精度.
- 设计一个可靠的控制方法,确保系统的局限性.
- 为了优化控制参数,使用模糊数字平衡性能和成本.
主要方法:
- 建立一个模糊的移动机器人系统模型.
- 使用后退方法设计一个虚拟速度控制器.
- 提出一个强大的控制策略,以实现统一的边界.
- 实施模糊优化方法以尽量减少性能指数.
主要成果:
- 模糊可靠的控制方法保证了统一的边界性和统一的最终边界性.
- 模糊优化策略成功获得了最佳控制参数.
- 与线性二次调节器 (LQR) 相比,提出的方法证明了控制精度的提高.
结论:
- 模糊集合理论有效地模拟移动机器人的不确定性,提高控制精度.
- 拟议的模糊稳定控制和优化策略对于高精度应用是有效的.
- 这种方法为在移动机器人控制中平衡性能和成本提供了可行的解决方案.
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