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作 者:韩琨 张长征[1] 袁雷 朱雪松 HAN Kun;ZHANG Changzheng;YUAN Lei;ZHU Xuesong(Hubei Collaborative Innovation Center for High-efficiency Utilization of Solar Energy,Hubei University of Technology,Wuhan 430068,China)
机构地区:[1]湖北工业大学太阳能高效利用及储能运行控制湖北省重点实验室,湖北武汉430068
出 处:《实验技术与管理》2024年第6期70-80,共11页Experimental Technology and Management
基 金:国家自然科学基金项目(5200070339);电磁能技术全国重点实验室资助课题(6142217210301);湖北省教育厅科学技术研究计划重点项目(D20221401)。
摘 要:为抑制基于滑模控制的永磁同步电机系统的抖振现象,提出一种通过高阶滑模控制设计的MRAS无传感器控制策略。通过设置滑模积分环节达到了抑制抖振的目的,表明了高阶滑模控制过程中积分环节的重要性,阐述了非线性滑模控制参数设置思路,相较于MRAS与SMCMRAS提高了SPMSM在中低速的表现性能。最后,基于MATLAB/Simulink代码自动生成的电机算法测试平台,验证了所设计观测器的有效性。实验结果表明,SPMSM在低速的表现效果良好,零速启动表现良好,高阶滑模控制策略较一阶SMC有效降低了抖振,提高了PI控制的鲁棒性,实现了PMSM的宽速域控制。[Objective]The permanent magnet synchronous motor system,based on the sliding mode control strategy,is extensively utilized in sensorless control systems owing to its rapid response speed and robust anti-interference performance.However,the distinctive chattering phenomenon associated with traditional sliding mode control can introduce irreversible oscillations in the output signal.This interference affects the accuracy of the parameters and electrical signals acquired during motor operation,significantly impacting motor control and operation.While sliding mode control offers robustness,its inherent chattering presents challenges for practical engineering applications links.[Methods]The observer,commonly employed in sensorless control strategies,demonstrates effective performance during the high-speed stage of motor control.However,during low-speed operation,pulsating high-frequency signal injection is necessary to accurately estimate the rotor position angle.To address this,an MRAS sensorless control system is developed using a high-order sliding mode control strategy aimed at mitigating chattering by enhancing the integral control link of the sliding mode.The integration link plays an important role in the high-order sliding mode control process.Additionally,the paper explores the parameter setting for nonlinear sliding mode control.Compared with MRAS,the proposed method enhances the performance of SPMSM at medium and low speeds.Furthermore,automatic code generation via Simulink software streamlines the traditional manual code-writing process,resulting in a highly readable and error-free sensorless core algorithm.The algorithm’s code model is constructed using Simulink software,and the code is automatically generated and written into ARM for algorithm verification.Additionally,a host computer model is developed in Simulink to facilitate data transmission and reception,online display,and adjustment of observer parameters.[Results]Subsequently,a motor algorithm testing platform based on MATLAB/SIMULINK code is
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