Online MTPA Trajectory Tracking of IPMSM Based on a Novel Torque Control Strategy
Jianxia Sun,
Cheng Lin,
Jilei Xing and
Xiongwei Jiang
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Jianxia Sun: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Cheng Lin: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Jilei Xing: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Xiongwei Jiang: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Energies, 2019, vol. 12, issue 17, 1-10
Abstract:
The maximum-torque-per-ampere (MTPA) scheme is widely used in the interior permanent magnet synchronous machine (IPMSM) drive system to reduce copper losses. However, MTPA trajectory is complicated to solve analytically. In order to realize online MTPA trajectory tracking, this paper proposes a novel torque control strategy. The torque control is designed to be closed form. Considering the machine reluctance torque as the torque feedback, when this is compared with the torque reference, then the excitation torque reference can be obtained. Since the excitation torque is proportional to the q-axis current, the q-axis current reference can be fed by the excitation torque reference through a proportional regulator. Once the q-axis current reference is given, the d-axis current reference can be calculated based on the per-unit model, which aims to simplify the calculation and make the control strategy independent of machine parameters. In this paper, the stability of the control system is demonstrated. Meanwhile, simulation and experiment results show this torque control strategy can realize MTPA trajectory tracking online and have success in transients.
Keywords: maximum-torque-per-ampere (MTPA); torque control; per unit; IPMSM (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (5)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:17:p:3261-:d:260563
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