Open Access Open Access  Restricted Access Subscription or Fee Access

Active Disturbance Rejection Control of a Five-Phase PMSM with Parameters Variation


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/irecon.v7i5.18184

Abstract


This paper deals with the Active Disturbance Rejection Control (ADRC) of a five-phase Permanent Magnet Synchronous Motors (PMSMs) to overcome both of sensibility and limited performances of traditional control strategies against parameters variation and environmental disturbances. The proposed control strategy is based on the Extended State Observer (ESO) which is used mainly for estimation and compensation of internal and external perturbations caused by load torque, parameters variation and uncertainties. Then, the estimated total disturbance are compensated in a feed-forward way. According to this information, the ADRC guarantees steady performances, perfects dynamic of the PMSM and improves the disturbance rejection ability. Simulation results highlight the robustness of the suggested control technique and its ability to achieve a good performance under unfavourable conditions.
Copyright © 2019 Praise Worthy Prize - All rights reserved.

Keywords


Active Disturbance Rejection Control; Five-Phase Permanent Magnetic Synchronous Motor and Parametric Variation

Full Text:

PDF


References


A. Hezzi, S. B. Elghali, Y. B. Salem, and M. N. Abdelkrim, Control of five-phase pmsm for electric vehicle application, 2017 18th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), IEEE, 2017, pp. 205–211.
https://doi.org/10.1109/sta.2017.8314959

A. Hezzi, Y. Bensalem, S. B. Elghali, and M. N. Abdelkrim, Sliding mode observer based sensorless control of five phase pmsm in elec-tric vehicle, 19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). IEEE, 2019, pp. 530–535.
https://doi.org/10.1109/sta.2019.8717290

J. Yu, H. Yu, B. Chen, J. Gao, and Y. Qin, Direct adaptive neural control of chaos in the permanent magnet synchronous motor, Nonlinear Dynamics, vol. 70, no. 3, pp. 1879–1887, 2012.
https://doi.org/10.1007/s11071-012-0580-2

M. Dogan and M. Dursun, Application of speed control of permanent magnet synchronous machine with pid and fuzzy logic controller, Energy Education Science and Technology Part A: Energy Science and Research, vol. 28, no. 2, pp. 925–930, 2012.

J. Han, From pid to active disturbance rejection control, IEEE transactions on Industrial Electronics, vol. 56, no. 3, pp. 900–906, 2009.
https://doi.org/10.1109/tie.2008.2011621

X. Han, H. Wang, Z. Zhang, Y. Fan, and W. Wang, An improved finite control set model predictive current control strategy for five-phase pmsms, IOP Conference Series: Materials Science and Engineering, vol. 486, no. 1. IOP Publishing, 2019, p. 012043.
https://doi.org/10.1088/1757-899x/486/1/012043

Y. Zhou, Z. Yan, Q. Duan, L. Wang, and X. Wu, Direct torque control strategy of five-phase pmsm with load capacity enhancement, IET Power Electronics, vol. 12, no. 3, pp. 598–606, 2018.
https://doi.org/10.1049/iet-pel.2018.5203

B. Sari, M. F. Benkhoris, M. A. Hamida, and S. E. Chouaba, A back-stepping torque control of a five phase permanent magnet synchronous machine, 7th International Conference on Systems and Control (ICSC). IEEE, 2018, pp. 219–223.
https://doi.org/10.1109/icosc.2018.8587800

F.-J. Lin, I.-F. Sun, K.-J. Yang, and J.-K. Chang, Recurrent fuzzy neural cerebellar model articulation network fault-tolerant control of six-phase permanent magnet synchronous motor position servo drive, IEEE Transactions on Fuzzy Systems, vol. 24, no. 1, pp. 153–167, 2015.
https://doi.org/10.1109/tfuzz.2015.2446535

N. K. Nguyen, E. Semail, F. De Belie, and X. Kestelyn, Adaline neural networks-based sensorless control of five-phase pmsm drives, IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2016, pp. 5741–5746.
https://doi.org/10.1109/iecon.2016.7793553

J. Han, Active disturbance rejection control technique-the technique for estimating and compensating the uncertainties, National Defense Industry Press, Beijing, pp. 197–270, 2008.

Z. Gao, Scaling and bandwidth-parameterization based controller tun-ing, Proceedings of the American control conference, vol. 6, 2006, pp. 4989–4996.

C. R. Patterson, Improved feedforward control of a permanent magnet synchronous motor using MRAS. University of Arkansas, 2008.

Y. Huang and J. Han, Analysis and design for the second order nonlinear continuous extended states observer, Chinese science bulletin, vol. 45, no. 21, p. 1938, 2000.
https://doi.org/10.1007/bf02909682

M. Ran, Q. Wang, and C. Dong, Active disturbance rejection control for uncertain nonaffine-in-control nonlinear systems, IEEE Transactions on Automatic Control, vol. 62, no. 11, pp. 5830–5836, 2016.
https://doi.org/10.1109/tac.2016.2641980

C. Zhang and Y. Chen, Tracking control of ball screw drives us-ing adrc and equivalent-error-model-based feedforward control, IEEE Transactions on Industrial Electronics, vol. 63, no. 12, pp. 7682–7692, 2016.
https://doi.org/10.1109/tie.2016.2590992

G. Zhang, G. Wang, B. Yuan, R. Liu, and D. Xu, Active disturbance rejection control strategy for signal injection-based sensorless ipmsm drives, IEEE Transactions on Transportation Electrification, vol. 4, no. 1, pp. 330–339, 2017.
https://doi.org/10.1109/tte.2017.2765206

G. Feng, Y.-F. Liu, and L. Huang, A new robust algorithm to improve the dynamic performance on the speed control of induction motor drive, IEEE Transactions on Power Electronics, vol. 19, no. 6, pp. 1614–1627, 2004.
https://doi.org/10.1109/tpel.2004.836619

L. A. Castaneda, A. Luviano-Juarez, and I. Chairez, Robust trajectory tracking of a delta robot through adaptive active disturbance rejection control, IEEE Transactions on control systems technology, vol. 23, no. 4, pp. 1387–1398, 2014.
https://doi.org/10.1109/tcst.2014.2367313

B. Du, S. Wu, S. Han, and S. Cui, Application of linear ac-tive disturbance rejection controller for sensorless control of internal permanent-magnet synchronous motor, IEEE Transactions on Industrial Electronics, vol. 63, no. 5, pp. 3019–3027, 2016.
https://doi.org/10.1109/tie.2016.2518123

G. Feng, Y.-F. Liu, and L. Huang, A new robust control to improve the dynamic performance of induction motors, IEEE 32nd Annual Power Electronics Specialists Conference (IEEE Cat. No. 01CH37230), vol. 2. IEEE, 2001, pp. 778–783.
https://doi.org/10.1109/pesc.2001.954213

Y. Xia, Z. Zhu, M. Fu, and S. Wang, Attitude tracking of rigid spacecraft with bounded disturbances, IEEE Transactions on Industrial Electronics, vol. 58, no. 2, pp. 647–659, 2010.
https://doi.org/10.1109/tie.2010.2046611

S. E. Talole, J. P. Kolhe, and S. B. Phadke, Extended-state-observer-based control of flexible-joint system with experimental validation, IEEE Transactions on Industrial Electronics, vol. 57, no. 4, pp. 1411– 1419, 2009.
https://doi.org/10.1109/tie.2009.2029528

J. Su, H. Ma, W. Qiu, and Y. Xi, Task-independent robotic uncalibrated hand-eye coordination based on the extended state observer, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol. 34, no. 4, pp. 1917–1922, 2004.
https://doi.org/10.1109/tsmcb.2004.827615

Z. Chu, Y. Sun, C. Wu, and N. Sepehri, Active disturbance rejection control applied to automated steering for lane keeping in autonomous vehicles, Control Engineering Practice, vol. 74, pp. 13–21, 2018.
https://doi.org/10.1016/j.conengprac.2018.02.002

B. Guo, S. Bacha, and M. Alamir, Adrc based speed control applied to a micro-hydropower plant, 2017.

Z. Zhou, S. Ben Elghali, M. Benbouzid, Y. Amirat, E. Elbouchikhi, and G. Feld, Control strategies for tidal stream turbine systems a comparative study of adrc, pi, and high-order sliding mode controls, 45th Annual Conference of the IEEE Industrial Electronics Society (IES), IECON 2019. IEEE, 2019.
https://doi.org/10.1109/iecon.2013.6700411

G. Wang, R. Liu, N. Zhao, D. Ding, and D. Xu, Enhanced linear adrc strategy for hf pulse voltage signal injection-based sensorless ipmsm drives, IEEE Transactions on Power Electronics, vol. 34, no. 1, pp. 514–525, 2018.
https://doi.org/10.1109/tpel.2018.2814056

L. Tao, Q. Chen, Y. Nan, F. Dong, and Y. Jin, Speed tracking and synchronization of a multimotor system based on fuzzy adrc and enhanced adjacent coupling scheme, Complexity, vol. 2018.
https://doi.org/10.1155/2018/5632939

Y. Yang, J. Tan, and D. Yue, Prescribed performance tracking control of a class of uncertain pure-feedback nonlinear systems with input saturation, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018.
https://doi.org/10.1109/tsmc.2017.2784451

Y. Shen, Q. Xu, Y. Ma, and Y. Zou, Application of an improved adrc controller based on the double closed loop dynamic disturbance compensation in pmsm, 21st International Conference on Electrical Machines and Systems (ICEMS). IEEE, 2018, pp. 435–440.
https://doi.org/10.23919/icems.2018.8549467

X. Liu, H. Chen, J. Zhao, and A. Belahcen, Research on the perfor-mances and parameters of interior pmsm used for electric vehicles, IEEE Transactions on Industrial Electronics, vol. 63, no. 6, pp. 3533– 3545, 2016.
https://doi.org/10.1109/tie.2016.2524415

C. Lai, G. Feng, K. Mukherjee, and N. C. Kar, Investigations of the influence of pmsm parameter variations in optimal stator current design for torque ripple minimization, IEEE Transactions on Energy Conversion, vol. 32, no. 3, pp. 1052–1062, 2017.
https://doi.org/10.1109/tec.2017.2682178


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize