2020
DOI: 10.1109/access.2020.3002456
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Position Estimation Method of IPMSM in Full Speed Range by Simplified Quadratic Optimization

Abstract: In this paper, a new full-speed-range position estimation method for the interior permanent magnet synchronous machine (IPMSM) is proposed. This method is designed for high power traction motor drives. In such application, variable speed operation from zero to high speed is desired. The objective of this paper is to obtain smooth position estimation in full speed range to guarantee high reliability of the motor control system. Firstly, a quadratic cost function based on the stator voltage equations is construc… Show more

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Cited by 3 publications
(7 citation statements)
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References 24 publications
(34 reference statements)
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“…1. The PLL observer used in this article is the same as that used in [29], from where more details could be found.…”
Section: A Proposed Simplified Quadratic Optimization For Position Es...mentioning
confidence: 99%
See 3 more Smart Citations
“…1. The PLL observer used in this article is the same as that used in [29], from where more details could be found.…”
Section: A Proposed Simplified Quadratic Optimization For Position Es...mentioning
confidence: 99%
“…However, to further clarify the derivation and simplify the solving process, the optimization problem is formulated based on the IPMSM voltage equations in the synchronous rotating frame. Moreover, after applying the Taylor expansion on the voltage equation in the synchronous rotating frame, the convexity of the problem, the sampling noise, and parameter sensitivity are more straightforward to analyze, and the solving method is also remarkably simplified compared to the similar method presented in [23] and [27]- [29]. In the end, both the effectiveness and the robustness of the proposed method are validated on a traction motor.…”
Section: Introductionmentioning
confidence: 99%
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“…Recently, a unified model-based sensorless method was proposed as a new approach. By allowing additional signal injection, the performance of the model-based sensorless method was significantly improved [20,21]. Applying Newton's method to the nonlinear optimization problem, these methods directly estimated the rotor position angle and speed.…”
Section: Introductionmentioning
confidence: 99%