控制理论(社会学)
扰动(地质)
电流(流体)
模型预测控制
滑模控制
模式(计算机接口)
计算机科学
控制工程
控制(管理)
工程类
非线性系统
物理
人工智能
地质学
古生物学
量子力学
电气工程
操作系统
作者
Qingkun Wei,Cao Tan,Mingji Hao,Xuewei Chen,Yingrui Li,Wenqing Ge
标识
DOI:10.1177/01423312241233315
摘要
The motor parameters of permanent magnet synchronous motor (PMSM) can be mismatched in operation due to temperature variations and magnetic saturation. The parameter mismatch leads to a significant decrease in the robustness of traditional deadbeat predictive current control (DPCC), which leads to issues such as current static error and motor vibration noise. In this paper, a model-free predictive current control (MFPCC) method based on an improved sliding mode disturbance observer (SMDO) was proposed. The method estimated the total disturbance of the system using the improved SMDO, which could effectively suppress sliding mode chattering and accelerate the convergence speed of current errors. Subsequently, the predicted control voltage was calculated using a hyper-local model and compensated for the time delay. The experimental results demonstrated that the improved MFPCC-SMDO method generated lower motor noise compared to the traditional DPCC method when the controller’s inductance parameters are mismatched.
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