控制理论(社会学)
终端滑动模式
滑模控制
稳健性(进化)
非线性系统
趋同(经济学)
计算机科学
收敛速度
电子速度控制
工程类
控制工程
控制(管理)
物理
人工智能
计算机网络
化学
经济
频道(广播)
电气工程
基因
量子力学
生物化学
经济增长
作者
Delin Kong,Haiwei Cai,Wenkai Zeng
出处
期刊:Energies
[Multidisciplinary Digital Publishing Institute]
日期:2024-07-31
卷期号:17 (15): 3767-3767
摘要
This paper proposes a kind of discrete-time sliding-mode predictive control (SMPC) based on a nonlinear sliding function for permanent-magnet synchronous motors’ (PMSMs’) speed control to improve the convergence performance. Compared with traditional sliding-mode predictive control based on a linear sliding function, the proposed SMPC has a faster convergence rate thanks to the design of a nonlinear fast terminal sliding function. Moreover, one-step prediction is employed, which greatly simplifies the algorithm and improves the real-time performance of its operation. The sliding state will follow the expected trajectory of a predefined sliding-mode reaching law. The stability and convergence performance of the proposed method is analyzed. The results of the theoretical analysis, simulations, and experiments indicate that the proposed method has excellent convergence performance and robustness.
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