一个新的动态规定的性能模糊神经后退控制用于PMSM在步骤负载下
Xuechun Hu1, Yu Xia2, Zsófia Lendek3
1School of Mechanical Engineering, Guizhou University, Guiyang 550025, China.
概括
本研究引入了一种新的控制方法,用于永久磁同步电机 (PMSM) 系统面临变化的参数和负载干扰. 这种方法提高了系统的稳定性和性能,确保了精确的操作.
科学领域:
- 电气工程 电气工程
- 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:
- 永久磁铁同步电机 (PMSM) 系统经常面临时间变化的参数和输入约束的挑战,特别是在步骤负载干扰下.
- 传统的规定的性能函数可能会导致超出预定义错误,控制奇点和负载变化期间的系统不稳定等问题.
研究的目的:
- 为PMSM系统提出动态规定的性能模糊神经后退控制方法.
- 为了解决由非线性时间变化的参数和输入约束引起的性能恶化.
- 提高PMSM系统在阶段负载下的过渡和稳定状态性能.
主要方法:
- 开发了一种新的有限时间不对称动态规定的性能函数 (FADPPF),以克服传统方法的局限性.
- 设计了一个后退控制器,集成了一个速度函数 (SF) 和一个模糊的神经网络 (FNN).
- FNN接近不确定的非线性系统功能,而SF和FADPPF确保了系统性能.
主要成果:
- 拟议的FADPPF在阶段负载条件下展示了动态自我调整能力和有效性.
- 利亚普诺夫的分析证实了开发的控制战略的稳定性.
- 与现有方法相比,模拟结果验证了拟议的控制方案的可行性和优越性.
结论:
- 动态规定的性能模糊神经后退控制方法有效地管理具有时间变化的参数和输入约束的PMSM系统.
- 新型FADPPF对于在负载变化期间保持系统稳定性和性能至关重要.
- 综合控制策略为PMSM控制应用提供了强大而优异的解决方案.
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