期刊
IET CONTROL THEORY AND APPLICATIONS
卷 11, 期 6, 页码 807-815出版社
WILEY
DOI: 10.1049/iet-cta.2016.1429
关键词
permanent magnet motors; synchronous motors; feedback; observers; control nonlinearities; Lyapunov methods; stability; closed loop systems; machine control; control system synthesis; active disturbance attenuation controller; permanent magnet synchronous motor; feedback domination; disturbance observer-based control; active estimation process; mismatched disturbances; system nonlinearities; Lyapunov function-based recursive design; composite controller; semiglobal input-to-state stability; closed-loop control performance; control law
资金
- Leading Talent Program of Shanghai
- Sailing Program of Shanghai Science and Technology Commission [15YF1404500]
- National Natural Science Foundation of China [61503236]
- Shanghai Scientific and Technology Innovation Action Plan, International Science and Technology Cooperation Program [15220710500]
- Natural Science Foundation of Shanghai [15ZR1417600]
In this study, a novel active disturbance attenuation controller is investigated for the permanent magnet synchronous motor servo system by integrating a feedback domination technique and disturbance observer-based control strategy. A disturbance observer is first constructed to enable an active estimation process of the mismatched disturbances. Second, the authors adopt a feedback domination technique, rather than popularly used feedback linearisation methods, to handle the system non-linearities. A Lyapunov function-based recursive design is then carried out to derive the composite controllers in an explicit way, while a semi-global input-to-state stability can be guaranteed. The proposed methodology not only performs an improved closed-loop control performance comparing to several existing results, but also renders a simple control law which will ease its practical implementations. Abundant comparison simulation results are provided to demonstrate the effectiveness of the proposed scheme.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据