Virtual Signal Injection Based Direct Flux Vector Control of IPMSM Drives

Koç

IEEE Trans. Ind. Electron.

2018

Self Cite

Section: Introductionmentioning

confidence: 99%

MTPA Control of IPMSM Drives Based on Virtual Signal Injection Considering Machine Parameter Variations

Koç

IEEE Trans. Ind. Electron.

2018

Self Cite

“…Permanent magnet (PM) machines have increasingly been employed in a variety of applications ranging from automotive, aerospace and industrial automation to renewable power generation [1], [2]. In many these applications, PM machines often have to operate under transient conditions that can vary significantly in terms of cooling, ambient temperature, and power/torque output [3].…”

Section: Introductionmentioning

confidence: 99%

Active Thermal Management for Interior Permanent Magnet Synchronous Machine (IPMSM) Drives Based on Model Predictive Control

IEEE Trans. on Ind. Applicat.

Griffo

et al. 2018

Self Cite

Abstract-This paper proposes an active thermal management scheme for Interior Permanent Magnet Synchronous Machine (IPMSM) drives based on the model predictive control concept. The proposed control scheme can adaptively set torque limit based on the thermal state of the machine to limit the machine winding and end-winding temperatures. The proposed control scheme is assessed by experiments on a laboratory machine drive system and simulated for traction drives over Worldwide Harmonized Lightduty Test Cycle (WLTC). Compared with conventional traction control scheme, the proposed scheme can effectively reduce peak temperature and hence thermal stress of the machine for improving its lifetime.

“…The optimal reference flux amplitude can be generated through mathematical model [12] or pre-defined look-up tables which are obtained from experiments or numerical machine model [13]. However, the f-t frame based MTPA control schemes are affected not only by the errors in the reference flux amplitude due to the machine parameter uncertainty and nonlinearity [6], but also by the flux observer errors in the flux control loop [14]. Thus, compared with d-q frame based MTPA control schemes, f-t frame based control schemes are vulnerable to flux errors in the reference and observer [5].…”

Section: Introductionmentioning

confidence: 99%

“…To address the problems associate with the f-t frame based control methods described previously, a novel concept that utilizes d-q frame based searching techniques to compensate the MTPA control errors of the f-t frame based control schemes was proposed in [14]. This control scheme utilizes the virtual signal injection to track the MTPA points in the f-t frame and is robust to flux observer error and motor parameters inaccuracy in tracking MTPA points.…”

Section: Introductionmentioning

confidence: 99%

Self-Learning Direct Flux Vector Control of Interior Permanent-Magnet Machine Drives

IEEE Trans. Power Electron.

Koç

2017

Self Cite

This paper proposes a novel self-learning control scheme for interior permanent magnet synchronous machine (IPMSM) drives to achieve maximum torque per ampere (MTPA) operation in constant torque region and voltage constraint maximum torque per ampere (VCMTPA) operation in field weakening region. The proposed self-learning control scheme (SLC) is based on the newly reported virtual signal injection aided direct flux vector control. However, other searching based optimal control schemes in the flux-torque (f-t) reference frame are also possible. Initially the reference flux amplitudes for MTPA operations are tracked by virtual signal injection and the data are used by the proposed self-learning control scheme to train the reference flux map online. After training, the proposed control scheme generates the optimal reference flux amplitude with fast dynamic response. The proposed control scheme can achieve MTPA or VCMTPA control fast and accurately without accurate prior knowledge of machine parameters and can adapt to machine parameter changes during operation. The proposed control scheme is verified by experiments under various operation conditions on a prototype 10 kW IPMSM drive. Index Terms-Maximum torque per Ampere (MTPA) operation, Permanent magnet synchronous machine (IPMSM), Self-learning control, Signal injection. Tianfu Sun (S'15) was born in China. He received B.Eng. degree in mechanical engineering, M.Sc. degree in civil engineering