基于灰色狼优化算法的双星感应电机的最佳第三级滑动模式控制器
Es-Saadi Terfia1, Sofiane Mendaci2, Salah Eddine Rezgui3
1Laboratory of Electrical Engineering of Guelma (LGEG), Department of Electrotechnical and Automatic Engineering, Université 8 Mai 1945, Guelma, 24000, Algeria.
本研究提出了一种新的控制方法,用于双星感应电机使用第三阶滑动模式控制与灰色狼优化 (TOSMC-GWO). 与传统方法相比,它大大减少了电机性能中的振荡.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 优化算法 优化算法
背景情况:
- 对于双星感应电机的经典滑动模式控制 (SMC) 的间接场面导向控制 (IFOC) 存在速度跟踪问题和声引起的波纹.
- 在IFOC-SMC中的声会导致稳定器电流和电磁扭矩的显著振荡,降低电机性能.
研究的目的:
- 引入一种新的控制策略,TOSMC-GWO,用于双星感应电机.
- 通过最大限度地减少短暂响应时间和稳定状态错误来提高电机性能.
- 为了减轻稳定器电流,转子流量和电磁扭矩的振荡.
主要方法:
- 将第三级滑动模式控制 (TOSMC) 与灰狼优化 (GWO) 算法相结合.
- 在IFOC框架中用拟议的TOSMC-GWO控制器取代经典的SMC.
- 使用与传统控制器相同的输入变量进行直接比较.
主要成果:
- 在 MATLAB 中的数值模拟表明了 IFOC-TOSMC-GWO 技术的有效性.
- 与IFOC-SMC相比,定子电流振荡 (82.23%) 和扭矩振荡 (84.61%) 的显著减少.
- 改善过渡反应,包括减少超越,上升时间和沉降时间.
结论:
- 拟议的IFOC-TOSMC-GWO方法为双星感应电机提供了比传统IFOC-SMC更高的性能.
- 整合TOSMC和GWO有效地抑制了聊天及其相关的负面影响.
- 这种先进的控制策略为提高感应电机驱动器的效率和稳定性提供了强大的解决方案.
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