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An enhanced MTPA algorithm with adaptive hybrid search

delete2026-06-17
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PRE
AI
D
Dongliang Liu *
P
Pei Yuan
W
Weijie Lin
Z
Ze Jiang
DOI：10.1016/j.conengprac.2026.107118delete
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Abstract

Abstract

En 中文
• Propose an adaptive hybrid MTPA strategy to break through the limitations of traditional search algorithms in constrained scenarios. • Introduce a novel lumped parameter optimization formula for reducing computational burden and improving efficiency. • Add a new rank and integrate it with RLS online identification to enhance the system’s identification accuracy.

Journal

Control Engineering Practice cover
Control Engineering Practice
IF:
4.6
Papers:
5.6K
Citations:
1.1W

Organization

H
Hangzhou Dianzi University
Scholars:
1.2W
Papers: 9.4K
Citations: 7.5K
W
wolong electric group co., ltd.
Scholars:
2
Papers: 1
Citations: 0
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