Robust Decoupling Vector Control of Interior Permanent Magnet Synchronous Motor Used in Electric Vehicles with Reduced Parameter Mismatch Impacts

Shu Xiong (), Jian Pan and Yucui Yang
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Shu Xiong: School of Physics and Electronics Electrical Engineering, Huaiyin Normal University, Huai’an 223309, China
Jian Pan: School of Physics and Electronics Electrical Engineering, Huaiyin Normal University, Huai’an 223309, China
Yucui Yang: School of Physics and Electronics Electrical Engineering, Huaiyin Normal University, Huai’an 223309, China

Sustainability, 2022, vol. 14, issue 19, 1-16

Abstract: Interior permanent magnet synchronous motor (IPMSM) drives have been widely employed in sustainable transport such as electric vehicles (EV). However, the traditional vector control (VC) strategies cannot achieve optimal control due to the intrinsic property of the IPMSMs, which is strong coupling. To solve the issue, this paper proposes an improved decoupling VC strategy to improve the steady-state performance of the IPMSMs with reduced parameter mismatch impacts. First, a deviation decoupling strategy is developed, and meanwhile, the parameters that influence the decoupling method are clearly illustrated. This enriches the theory concerning decoupling control and lays the ground for the development of effective solutions to the parameter mismatch issue. Second, the Luenberger observer theory is discussed, based on which the reason why the Luenberger inductance observers are not widely employed is explained for the first time. Third, with the aid of intermediate variables, which are the disturbances caused by the mismatched inductances, a new inductance identification method based on the Luenberger observer is proposed. Finally, the simulation and experimental results prove that the proposed decoupling methods, as well as the parameter identification method, are effective.

Keywords: interior permanent magnet synchronous motor; decoupling control; electric vehicles; parameter mismatch; Luenberger observer; sustainable transportation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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