Evidence map›Paper›PMID 42451254›Full record

ArticleSensors (Basel, Switzerland)2026

Time-Optimal Trajectory Planning Method for Servo PMSM Based on Short-Term Dynamic Feasible Region Constraint.

Hui Li, Jianfu Li, Xuewei Xiang, Peng Jiang, Bin Yuan, Renkuan Liu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hui LiState Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China.ORCID 0000-0002-6890-2583
Jianfu LiState Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China.
Xuewei XiangState Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China.ORCID 0000-0001-9720-5392
Peng JiangState Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China.ORCID 0009-0006-5389-3414
Bin YuanDongfang Electric Wind Power Co., Ltd., Deyang 618000, China.ORCID 0000-0002-5547-3599
Renkuan LiuDongfang Electric Digital Technology Co., Ltd., Chengdu 610218, China.

Funding

Chongqing Natural Science Foundation Innovation and Development Joint Fund CSTB2023NSCQ-LZX0131Fundamental Research Funds for the Central Universities 2025CDJZKKYJH-07National Key Research and Development Program of China 2024YFB3410600
6 · The paper itself

Abstract

Aiming at addressing the problem whereby the traditional time-optimal trajectory planning based on the steady-state torque-speed characteristic cannot fully exploit the short-term dynamic output performance of the servo permanent magnet synchronous motor (SPMSM), a time-optimal trajectory planning method for the SPMSM based on the short-term dynamic feasible region constraint is proposed to effectively improve the response speed. Firstly, the dynamic trapezoidal domain operation boundary is obtained by analyzing the motor working point variation curve and considering factors such as the working temperature and trajectory control, which constitutes the torque-speed value and the dynamic constraint mechanism of trajectory planning. Secondly, based on the energy consumption model, the average thermal power is used to represent the torque overload limit condition, and a dynamic constraint method based on the short-term dynamic torque-speed operation boundary is proposed. Then, in order to reduce the computational load in the online millisecond-level response, a time-optimal trajectory optimization algorithm based on sequential least squares is proposed to calibrate the positioning time of the time-optimal trajectory under different working temperatures and angles. Finally, a simulation and experimental comparisons of the time-optimal trajectories under different angles and working temperatures are carried out to verify the effectiveness of the proposed method.

Indexed as

dynamical constraintsjerk and time-optimalservo PMSMtrajectory planning

Identifiers

PMID42451254
PMCPMC13364331

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.