论文信息 - Performance-Enhanced Robust Iterative Learning Control With Experimental Application to PMSM Position Tracking

Performance-Enhanced Robust Iterative Learning Control With Experimental Application to PMSM Position Tracking

This brief develops an innovative robust iterative learning control law using the repetitive process setting. The new design is experimentally validated through a comprehensive set of experiments highlighting the capabilities for the position tracking control of a permanent magnet synchronous motor subject to load disturbances in the presence of uncertainties in selected parameters.

[1] J. Geromel,et al. Extended H 2 and H norm characterizations and controller parametrizations for discrete-time systems , 2002 .

[2] E. Rogers,et al. Experimentally verified generalized KYP Lemma based iterative learning control design , 2016 .

[3] D. McFarlane,et al. Optimal guaranteed cost control and filtering for uncertain linear systems , 1994, IEEE Trans. Autom. Control..

[4] Kevin L. Moore,et al. Iterative Learning Control: Brief Survey and Categorization , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[5] Lech M. Grzesiak,et al. Permanent magnet synchronous motor discrete linear quadratic speed controller , 2011, 2011 IEEE International Symposium on Industrial Electronics.

[6] Masayoshi Tomizuka,et al. Zero Phase Error Tracking Algorithm for Digital Control , 1987 .

[7] A.G. Alleyne,et al. A survey of iterative learning control , 2006, IEEE Control Systems.

[8] Harald Aschemann,et al. Robust guaranteed cost ILC with dynamic feedforward and disturbance compensation for accurate PMSM position control , 2017 .

[9] Suguru Arimoto,et al. Bettering operation of Robots by learning , 1984, J. Field Robotics.

[10] Krzysztof Galkowski,et al. Control Systems Theory and Applications for Linear Repetitive Processes - Recent Progress and Open Research Questions , 2007 .