Zhao Kaihui, Liu Wenchang, Zhou Ruirui, Dai Wangke, Wu Sicheng, Qiu Pengqi, Yin Yang, Jia Ning, Yi Jinwu, Huang Gang
College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China; School of Engineering, Tokyo University of Technology, Hachioji 192-0982, Japan.
College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China.
ISA Trans. 2023 Dec;143:572-581. doi: 10.1016/j.isatra.2023.09.025. Epub 2023 Sep 27.
This paper presents a novel model-free fast integral terminal sliding-mode control (MFFITSMC) method based on an improved fast terminal sliding-mode observer (IFTSMO) for permanent magnet synchronous motor (PMSM) drive system, which can effectively eliminate the impact caused by unknown disturbances, such as parameter perturbations and external disturbances. The PMSM mathematical model with unknown disturbances is first established, and the ultra-local model (ULM) of the PMSM speed loop is constructed. Next, the model-free fast integral terminal sliding-mode controller is designed in the speed loop based on the ULM. Then, the IFTSMO is designed to precisely estimate the unknown term of the ULM, and the estimated unknown term is fed back to the MFFITSMC controller to perform compensation for unknown disturbances in real time. Finally, compared with the proportional-integral (PI) control method and the conventional model-free sliding-mode control (MFSMC) method, the results of simulations and experiments demonstrate that the presented MFFITSMC method reduces the dependence on the precise model and achieves the purpose of anti-disturbance control of the PMSM drive system.
本文提出了一种基于改进型快速终端滑模观测器（IFTSMO）的新型无模型快速积分终端滑模控制（MFFITSMC）方法，用于永磁同步电机（PMSM）驱动系统，该方法可有效消除由未知干扰（如参数摄动和外部干扰）引起的影响。首先建立了具有未知干扰的PMSM数学模型，并构建了PMSM速度环的超局部模型（ULM）。接下来，基于ULM在速度环中设计无模型快速积分终端滑模控制器。然后，设计IFTSMO精确估计ULM的未知项，并将估计出的未知项反馈到MFFITSMC控制器，以实时对未知干扰进行补偿。最后，与比例积分（PI）控制方法和传统无模型滑模控制（MFSMC）方法相比，仿真和实验结果表明，所提出的MFFITSMC方法降低了对精确模型的依赖，实现了PMSM驱动系统的抗干扰控制目的。
