Efficiency Optimization Control of IPMSM Considering Varying Machine Parameters

Yang, Shijie; Liu, Kan; Hu, Yashan; Chu, Linlin; Chen, Shitao

doi:10.1109/scems.2018.8624761

Cited by 9 publications

(4 citation statements)

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“…In that paper, by adjusting the d-axis current, the power losses were changed at varied loads nd speeds (Caruso et al, 2014). Yang et al proposed efficiency optimization control of IPMSM drive systems, which considered the variations of the motor parameters (Yang et al, 2018). Takaashi et al studied a high-efficiency control method for an IPMSM drive system by controlling the vector angle of the stator currents (Takaashi and Oguro, 2009).…”

Section: Introductionmentioning

confidence: 99%

Maximum efficiency control and predictive-speed controller design for interior permanent magnet synchronous motor drive systems

Liu

Zhuang²

2022

Front.Electron.

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Improving the efficiency of home appliances is an important area of research these days, especially for global warming and climate change. To achieve this goal, in this paper, a new method to improve the maximum efficiency control of an interior permanent magnet synchronous motor (IPMSM) drive system, which includes an IPMSM and an inverter, is investigated. By suitably controlling the d-axis current, the IPMSM drive system can quickly reach its maximum efficiency. A steepest ascent method is used to obviously reduce the searching steps of the maximum efficiency tracking control for an IPMSM. According to experimental results, by using the traditional fixed step method, 14 steps are required to reach the maximum efficiency operating point. By using the proposed steepest ascent method, however, only 4 steps are needed to reach the maximum efficiency operating point. In addition, according to the experimental results, during the transient dynamics, the predictive controller obtains faster responses and 2% lower overshoot than the PI controller. Moreover, during adding external load, the predictive controller has only a 10 r/min speed drop and 0.1 s recover time; however, the PI controller has a 40 r/min speed drop and 0.3 s recover time. Experimental results can validate theoretical analysis. Several measured results show when compared to the fix-step searching method with a PI controller, the proposed methods provide quicker searching maximum efficiency ability, quicker and better dynamic transient responses, and lower speed drop when an external load is added.

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Section: Introductionmentioning

confidence: 99%

Maximum efficiency control and predictive-speed controller design for interior permanent magnet synchronous motor drive systems

Liu

Zhuang²

2022

Front.Electron.

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“…First, the maximum torque per ampere (MTPA) is developed [12]- [15]. Then, the maximum efficiency per ampere (MEPA) is introduced [16]- [20].…”

Section: Introductionmentioning

confidence: 99%

“…On the contrary, the MEPA considers not only the copper losses in PMSM but also the iron losses, inverter losses, mechanical losses, and harmonic iron and copper losses. This, in turn, helps to accurately estimate and improve the overall system efficiency [17]- [20]. Therefore, the MEPA control has an increasing interest by the research community.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the MEPA control has an increasing interest by the research community. Ni et al, Uddin and Rebeiro,and Yang et al in [18]- [20], the fundamental iron losses are considered to maximize the system efficiency. However, harmonic iron losses are not considered which affect motor efficiency, especially in the high-speed and light load regions [16].…”

Section: Introductionmentioning

confidence: 99%

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Online efficiency optimization of IPMSM for electric vehicles

Elsherbiny

Ahmed

Elwany

2021

IJPEDS

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<span>This paper presents an online efficiency optimization method for the interior permanent magnet synchronous motor (IPMSM) drive system in an electric vehicle (EV). The proposed method considers accurately the total system losses including fundamental copper and iron losses, harmonic copper and iron losses, magnet loss, and inverter losses. Therefore, it has the capability to always guarantee maximum efficiency control. A highly trusted machine model is built using finite element analysis (FEA). This model considers accurately the magnetic saturation, spatial harmonics, and iron loss effect. The overall system efficiency is estimated online based on the accurate determination of system loss, and then the optimum current angle is defined online for the maximum efficiency per ampere (MEPA) control. A series of results is conducted to show the effectiveness and fidelity of proposed method. The results show the superior performance of proposed method over the conventional offline efficiency optimization methods.</span>

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