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http://dx.doi.org/10.6113/JPE.2019.19.5.1193

Model-Free Adaptive Integral Backstepping Control for PMSM Drive Systems  

Li, Hongmei (Department of Electrical Engineering and Automation, Hefei University of Technology)
Li, Xinyu (Department of Electrical Engineering and Automation, Hefei University of Technology)
Chen, Zhiwei (Department of Electrical Engineering and Automation, Hefei University of Technology)
Mao, Jingkui (Department of Electrical Engineering and Automation, Hefei University of Technology)
Huang, Jiandong (Department of Electrical Engineering and Automation, Hefei University of Technology)
Publication Information
Journal of Power Electronics / v.19, no.5, 2019 , pp. 1193-1202 More about this Journal
Abstract
A SMPMSM drive system is a typical nonlinear system with time-varying parameters and unmodeled dynamics. The speed outer loop and current inner loop control structures are coupled and coexist with various disturbances, which makes the speed control of SMPMSM drive systems challenging. First, an ultra-local model of a PMSM driving system is established online based on the algebraic estimation method of model-free control. Second, based on the backstepping control framework, model-free adaptive integral backstepping (MF-AIB) control is proposed. This scheme is applied to the permanent magnet synchronous motor (PMSM) drive system of an electric vehicle for the first time. The validity of the proposed control scheme is verified by system simulations and experimental results obtained from a SMPMSM drive system bench test.
Keywords
Integral backstepping control; Parameter variations; SMPMSM drive system; Ultra-local model; Uncertain disturbances;
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