在气动系统中减轻非线性扭矩振荡,采用自适应RBFNN补偿增益自适应ADRC
Zilong Wu1, Zichao Chen1, Linyong Bai1
1School of Mechanical Engineering, Hubei University of Technology, WuHan, 430068, China.
ISA transactions
|November 23, 2025
概括
这项研究引入了气动伺服系统的新型自适应控制策略,显著提高了精度和减少振荡. 新方法提高了要求高的工业和航空航天应用中的控制性能.
科学领域:
- 控制系统工程 控制系统工程
- 机器人技术 机器人技术 机器人技术
- 航空航天工程 航空航天工程
背景情况:
- 气动旋转驱动器在工业和航空航天领域至关重要,但由于非线性而导致控制不准确.
- 现有的主动干扰拒绝控制 (ADRC) 方法在估计这些系统的非线性和参数调整方面存在局限性.
研究的目的:
- 为气动伺服系统开发改进的控制策略,克服传统ADRC的局限性.
- 为了提高控制精度,减少超标和振荡,并简化参数调整.
主要方法:
- 建议采用增益自适应性主动干扰拒绝控制 (ADRC) 策略,结合自适应性辐射基函数神经网络 (RBFNN) 来取代扩展状态观察器 (ESO).
- 使用增益自适应的代策略来动态调整控制器参数,简化了调整过程.
主要成果:
- 拟议的RBFGAADRC实现了0.062Nm的稳定状态误差,没有超越.
- 在0.5Hz的正弦扭矩轨迹跟踪过程中,最大跟踪误差在没有振荡的情况下减少到0.35Nm.
结论:
- RBFGAADRC通过准确估计非线性和简化调整,有效地提高了气动伺服系统的控制性能.
- 这种方法为在气动系统中需要高控制精度的应用提供了强大的解决方案.
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