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基于LESO的永磁伺服系统无模型无差拍电流预测控制
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国家自然科学基金面上项目(51875380;51375323); 国家自然科学基金地区科学基金项目(62063010);泰州市科技支撑计划资助项目(TG202117)


Model-Free Deadbeat Current Predictive Control for Permanent Magnet Servo System Based on LESO
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    摘要:

    受工况及运行环境的影响,永磁同步电机的参数会在运行过程中发生一定程度的变化。为解决电机参数变化导致的模型失配问题和数字控制系统中的一拍延迟问题,将无差拍电流预测控制与无模型控制结合。针对传统无模型控制中扰动估计的复杂和耗时问题,引入线性扩张状态观测器对系统扰动进行估计并进行前馈补偿。将基于传统PI控制的永磁伺服系统模型与文中所提模型进行仿真对比实验,仿真结果证明文中所提方法改善了永磁同步电机控制系统的动态响应性能且具有更强的鲁棒性。

    Abstract:

    Under the influence of operating mode and operation environment,the parameters of permanent magnet synchronous motor change to a certain extent.In order to reduce the model mismatch caused by motor parameter changes and the problem of one-beat delay in digital system,the deadbeat current predictive control was combined with model-free control creatively.Aiming at the problems of complex and time-consuming of perturbation estimation in the traditional model-free control,linear extended state observer was introduced to estimate the system disturbance and perform feedforward compensation.The feasibility of the proposed model was analyzed by comparing with the simulation of permanent magnet servo system based on traditional PI control.The simulation results show that the proposed method improves the dynamic response performance of permanent magnet synchronous motor control system and has stronger robustness.

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姜晨艳,李德义,朱其新,张国平.基于LESO的永磁伺服系统无模型无差拍电流预测控制[J].机床与液压,2023,51(13):14-20.
JIANG Chenyan, LI Deyi, ZHU Qixin, ZHANG Guoping. Model-Free Deadbeat Current Predictive Control for Permanent Magnet Servo System Based on LESO[J]. Machine Tool & Hydraulics,2023,51(13):14-20

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  • 在线发布日期: 2023-07-27
  • 出版日期: 2023-07-15