超高精度气动力伺服系统基于一种新的改进的粒子群优化算法,整合了高斯变异和模糊理论
Pengfei Qian1, Chenwei Pu1, Lei Liu1
1School of Mechanical Engineering, Jiangsu University, Zhenjiang 212013, China.
ISA transactions
|July 3, 2024
概括
这项研究介绍了一种超高精度气动力伺服系统 (UPFSS),采用了一种新型的空气浮动气动气 (AFPC) 和优化压力控制系统 (PCS). UPFSS显示,稳定状态误差显著减少,用于精确的力控制.
科学领域:
- 机械工程 机械工程
- 控制系统 控制系统
- 机器人技术 机器人技术 机器人技术
背景情况:
- 传统的气动系统经常受到摩擦和泄漏的影响,限制了精度.
- 在气动力控制中实现超高精度需要创新的解决方案来最大限度地减少错误.
- 现有的控制方法可能无法充分解决气动系统中的动态变化和不确定性.
研究的目的:
- 提出和开发一个超高精度的气动力伺服系统 (UPFSS).
- 设计一种具有最小摩擦力的新型空气浮动气动气 (AFPC).
- 实施和优化压力控制系统 (PCS) 以在模拟泄漏的情况下提高准确性.
主要方法:
- 开发一个空气浮动气动气 (AFPC) 具有独立的空气输入/排放和特殊的流通道设计.
- 构建一个泄漏室来模拟活塞-气的空隙.
- 基于模糊比例积分 (FPI) 的PCS的设计和优化,使用一种新的集成高斯突变和模糊理论粒子群优化 (IGF-PSO) 算法.
主要成果:
- 在AFPC实现的摩擦力小于0.0049 N.的摩擦力.
- IGF-PSO算法表现出卓越的优化性能.
- 与试错方法相比,优化的PCS可将稳定状态误差降低约38%.
- 在240N范围内,UPFSS实现了不超过0.0279N的稳定状态误差.
结论:
- 拟议的UPFSS结合了AFPC和IGF-PSO优化的PCS,在气动力控制中提供了卓越的精度.
- 新型AFPC设计有效地减少了摩擦,为高精度的性能做出了贡献.
- IGF-PSO算法提供了一种有效的方法,用于在具有挑战性的气动应用中调整FPI控制器.
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