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High‐performance PMSM self‐tuning speed control system with a low‐order adaptive instantaneous speed estimator using a low‐cost incremental encoder
Author(s) -
Cao Yihui,
Wang Junzheng,
Shen Wei
Publication year - 2021
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.2346
Subject(s) - control theory (sociology) , electronic speed control , computer science , kalman filter , encoder , estimator , inertia , controller (irrigation) , range (aeronautics) , noise (video) , control engineering , engineering , control (management) , mathematics , statistics , physics , electrical engineering , classical mechanics , artificial intelligence , image (mathematics) , biology , aerospace engineering , operating system , agronomy
In practical industrial applications, the control performance in a wide speed range is hard to ensure, especially under the low‐speed condition with a low‐cost incremental encoder, while the unknown structure parameters may also degrade the tracking performance. This paper proposes a low‐order adaptive instantaneous speed estimator (AISE) and a self‐tuning control strategy to promote the speed control performance in a wide speed range with unknown inertia parameters. Together with the adaptive‐Kalman‐filter‐based AISE, a novel measurement noise variance updating scheme, which allows more appropriate compensation in the different speed range than fixed error variance, is introduced through the theoretical analysis based on probability and stochastic process. Moreover, an easy‐to‐implement self‐tuning law, integrated with an online recursive‐least‐square‐based parameters identification method, is developed to tune the speed controller, while the AISE is also adjusted online to ensure the control performance with a considerable variation of load inertia. All strategies were implemented in a TMS320F28335‐based permanent magnet synchronous motor (PMSM) control system with a low‐cost 2500‐line incremental encoder, and the results demonstrated the effectiveness of the proposed techniques.