在轮机应用中使用的感应电机的动态性能改进:一个双循环模型预测控制策略
Mohammad Ghassem Farajzadeh Devin1, Seyed Kamal Hosseini Sani2, Hamed Bizhani3
1Sun-Air Research Institute, Ferdowsi University of Mashhad, Mashhad, Khorasan Razavi, Iran.
一个新的双循环模型预测控制 (TLMPC) 提高了轮机的感应电机性能. 这种先进的控制策略提高了直流连接的电压稳定性,以便在苛刻的工业应用中更好地控制速度.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
背景情况:
- 轮机应用需要精确的感应电机转速控制.
- 带有背向背向转换器的电网连接的感应电机由于直流连接电压波动而面临动态性能方面的挑战.
研究的目的:
- 提出一种新的双循环模型预测控制 (TLMPC),用于提高轮机中的感应电机动态性能.
- 通过优化电网侧转换器操作来提高感应电机的转速控制精度.
主要方法:
- 短视野有限集模型预测控制 (FSMPC) 在内部循环中用于电流控制.
- 一个长视野连续集模型预测控制 (CSMPC) 已开发用于直流链的电压设置点调整.
- 用一种识别方法来建模用于外部环控制的非线性电网侧转换器.
主要成果:
- 拟议的TLMPC有效地提高了感应电机的动态性能.
- 在数学上证明了TLMPC的强大稳定性.
- 实时执行能力得到认证,性能通过 MATLAB/Simulink 模拟进行验证.
结论:
- TLMPC战略为改善轮机应用中的感应电机控制提供了强大而有效的解决方案.
- 灵敏度分析证实了该策略对模型不准确性和不确定性的弹性.
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