首页|基于模糊时变滑模的永磁同步电机调速系统设计

基于模糊时变滑模的永磁同步电机调速系统设计

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针对永磁同步电机突然加入负载时存在的转速波动和不稳定问题,提出一种基于积分时变滑模面和新型模糊增益趋近律的滑模调速方法。采用积分时变滑模面,在传统积分滑模面中加入一个时变项,借此提升系统的响应速度。改进传统的指数趋近律,加入非线性函数来削弱系统的抖振,同时根据不同的系统状态用模糊算法整定趋近律增益参数,着重于提升趋近速度和系统抗扰动能力。最后,使用李雅普诺夫稳定性判据证明了该控制系统的稳定性。在MATLAB/Simulink环境下将此控制策略与传统滑模控制策略进行对比,仿真结果表明:采用此控制方法的系统响应速度更快、抑制系统扰动和抖振的能力更强,具备更好的综合性能。
Design of Permanent Magnet Synchronous Motor Speed Control System Based on Fuzzy Time-varying Sliding Mode
Aiming at the problem of speed fluctuation and instability when the permanent magnet synchronous motor(PMSM)is suddenly loaded,a sliding mode speed regulation method based on integral time-varying sliding mode surface and a new fuzzy gain reaching law was proposed.A time-varying term was added to the traditional integral sliding mode surface by using the integral time-va-rying sliding mode surface to improve the response speed of the system.The traditional exponential approach law was improved by adding nonlinear functions to weaken the chattering of the system.At the same time,fuzzy algorithm was used to adjust the gain parameters of the approach law according to different system states,focusing on improving the approach speed and anti-disturbance ability of the sys-tem.Finally,Lyapunov stability criterion was used to prove the stability of the control system.The proposed control strategy was compared with the traditional sliding mode control strategy in MATLAB/Simulink environment.The simulation results show that the proposed con-trol method has faster response speed,stronger ability to suppress system disturbance and chattering,and better comprehensive perform-ance.

permanent magnet synchronous motorvector controlintegrating time-varying sliding mode surfacefuzzy algorithmspeed control system

李旭阳、黎晓曦、朱其新、朱永红

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苏州科技大学机械工程学院,江苏苏州 215009

贵阳卷烟厂,贵州贵阳 550003

苏州市共融机器人技术重点实验室,江苏苏州 215009

景德镇陶瓷大学机电工程学院,江西景德镇 333001

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永磁同步电机 矢量控制 积分时变滑模面 模糊算法 调速系统

国家自然科学基金资助项目国家自然科学基金资助项目国家自然科学基金资助项目泰州市科技支撑计划资助项目

518753806206301051375323TG202117

2024

机床与液压
中国机械工程学会 广州机械科学研究院有限公司

机床与液压

CSTPCD北大核心
影响因子:0.32
ISSN:1001-3881
年,卷(期):2024.52(7)
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