具有外部扰动的PMSM系统的无模型自适应预测控制  

Model-free adaptive predictive control for PMSM systems with external disturbance

作　　者：王誉 侯忠生 WANG Yu;HOU Zhong-sheng(College of Automation,Qingdao University,Qingdao Shandong 266071,China)

机构地区：[1]青岛大学自动化学院,山东青岛266071

出　　处：《控制理论与应用》2022年第5期837-846,共10页Control Theory & Applications

基　　金：国家自然科学基金项目(61833001,62073025)资助。

摘　　要：针对于一类具有强耦合、负载不确定性和外界干扰的永磁同步电机(PMSM)系统,本文研究了基于无模型自适应预测控制(MFAPC)问题,并提出了一种新颖的MFAPC方案来实现有外界扰动的PMSM系统的速度追踪任务.所提出控制方案的主要优势在于仅使用了被控系统的输入/输出数据,并且对外界干扰具有较强的鲁棒性.此外,还讨论了闭环系统跟踪误差的收敛性以及有界输入有界输出的稳定性.最后,通过与传统的PI控制方案、原型无模型自适应控制(MFAC)方案的仿真结果相比较,验证了所提出MFAPC方案的有效性和优越性.This paper investigates the model-free adaptive predictive control(MFAPC)problem for a class of permanent magnet synchronous motor(PMSM)systems with strong coupling,load uncertainty and external disturbance,and a novel MFAPC scheme is proposed to achieve the speed tracking objective of PMSM systems with external disturbance.The main advantage of the proposed control scheme is that only the input/output data of the controlled system are used and has strong robustness to external disturbance.In addition,the convergence of tracking error and the stability of bounded input and bounded output are discussed.Finally,the simulation results illustrate the effectiveness and advantage of the proposed MFAPC scheme by compared with the traditional PI control scheme and the prototype model-free adaptive control(MFAC)scheme.

关 键 词：无模型自适应预测控制 永磁同步电机 负载扰动 速度控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] TM341[自动化与计算机技术—控制科学与工程]