具有噪声扰动的永磁同步电机的有限时间随机稳定性分析
Finite-Time Stochastic Stability Analysis of Permanent Magnet Synchronous Motors with Noise Perturbation.
作者信息
Ma Caoyuan, Shi Hongjun, Nie Pingping, Wu Jiaming
机构信息
School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China.
School of Mathematics, China University of Mining and Technology, Xuzhou 221116, China.
出版信息
Entropy (Basel). 2022 Jun 6;24(6):791. doi: 10.3390/e24060791.
In this paper, we study the finite-time stability of permanent magnet synchronous motors (PMSMs) with noise perturbation. To eliminate the chaos in a PMSM and allow it to reach a steady state more quickly within a finite time, we propose a novel adaptive controller based on finite-time control theory. Finite-time stability implies optimal convergence time and better robustness. Finally, numerical simulations are performed to demonstrate the effectiveness and feasibility of our new results.
在本文中，我们研究了具有噪声扰动的永磁同步电机（PMSM）的有限时间稳定性。为了消除永磁同步电机中的混沌现象，并使其在有限时间内更快地达到稳态，我们基于有限时间控制理论提出了一种新型自适应控制器。有限时间稳定性意味着最优收敛时间和更好的鲁棒性。最后，进行了数值模拟以验证我们新结果的有效性和可行性。
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