Non-cascade speed and current control of IPMSM for electrical vehicles based on model predictive control

Статья конференции
Gao F., Liu F., Sidorov D.N.
8th International Symposium on Computational Intelligence and Industrial Applications and 12th China-Japan International Workshop on Information Techn
ISCIIA and ITCA 2018 - 8th International Symposium on Computational Intelligence and Industrial Applications and 12th China-Japan International Workshop on Information Technology and Control Applications.
2018
In this paper, the speed tracking problem of the interior permanent magnet synchronous machines(IPMSM) of electric vehicle is studied. A non-cascade speed and current control strategy based on model predictive control(MPC) is proposed, which combines the speed and current control together compared with traditional cascade control. The design of the non-cascade controller takes into account the effects of load torque and d-q axis current coupling properties. Furthermore, the controller enforces both the current and the voltage limits. Finally, the simulation results show its validity and superiority of the proposed method. © ISCIIA and ITCA 2018 - 8th International Symposium on Computational Intelligence and Industrial Applications and 12th China-Japan International Workshop on Information Technology and Control Application.

Библиографическая ссылка

Gao F., Liu F., Sidorov D.N. Non-cascade speed and current control of IPMSM for electrical vehicles based on model predictive control // ISCIIA and ITCA 2018 - 8th International Symposium on Computational Intelligence and Industrial Applications and 12th China-Japan International Workshop on Information Technology and Control Applications. 2018.
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