3 research outputs found
Disturbance/uncertainty estimation and attenuation techniques in PMSM drives–a survey
This paper gives a comprehensive overview on
disturbance/uncertainty estimation and attenuation (DUEA) techniques in permanent magnet synchronous motor (PMSM) drives.
Various disturbances and uncertainties in PMSM and also other alternating current (AC) motor drives are first reviewed which shows they have different behaviors and appear in different control loops of the system. The existing DUEA and other relevant control methods in handling disturbances and uncertainties widely used in PMSM drives, and their latest developments are then discussed and summarized. It also provides in-depth analysis of the relationship between these advanced control methods in the context of PMSM systems. When dealing with uncertainties,it is shown that DUEA has a different but complementary mechanism to widely used robust control and adaptive control. The similarities and differences in disturbance attenuation of DUEA and other promising methods such as internal model
control and output regulation theory have been analyzed in detail. The wide applications of these methods in different AC
motor drives (in particular in PMSM drives) are categorized and summarized. Finally the paper ends with the discussion on future
directions in this area
SALI: A Scalable Adaptive Learned Index Framework based on Probability Models
The growth in data storage capacity and the increasing demands for high
performance have created several challenges for concurrent indexing structures.
One promising solution is learned indexes, which use a learning-based approach
to fit the distribution of stored data and predictively locate target keys,
significantly improving lookup performance. Despite their advantages,
prevailing learned indexes exhibit constraints and encounter issues of
scalability on multi-core data storage.
This paper introduces SALI, the Scalable Adaptive Learned Index framework,
which incorporates two strategies aimed at achieving high scalability,
improving efficiency, and enhancing the robustness of the learned index.
Firstly, a set of node-evolving strategies is defined to enable the learned
index to adapt to various workload skews and enhance its concurrency
performance in such scenarios. Secondly, a lightweight strategy is proposed to
maintain statistical information within the learned index, with the goal of
further improving the scalability of the index. Furthermore, to validate their
effectiveness, SALI applied the two strategies mentioned above to the learned
index structure that utilizes fine-grained write locks, known as LIPP. The
experimental results have demonstrated that SALI significantly enhances the
insertion throughput with 64 threads by an average of 2.04x compared to the
second-best learned index. Furthermore, SALI accomplishes a lookup throughput
similar to that of LIPP+.Comment: Accepted by Conference SIGMOD 24, June 09-15, 2024, Santiago, Chil
Disturbance/Uncertainty Estimation and Attenuation Techniques in PMSM Drives—A Survey
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.This paper gives a comprehensive overview on
disturbance/uncertainty estimation and attenuation (DUEA) techniques in permanent magnet synchronous motor (PMSM) drives.
Various disturbances and uncertainties in PMSM and also other alternating current (AC) motor drives are first reviewed which shows they have different behaviors and appear in different control loops of the system. The existing DUEA and other relevant control methods in handling disturbances and uncertainties widely used in PMSM drives, and their latest developments are then discussed and summarized. It also provides in-depth analysis of the relationship between these advanced control methods in the context of PMSM systems. When dealing with uncertainties,it is shown that DUEA has a different but complementary mechanism to widely used robust control and adaptive control. The similarities and differences in disturbance attenuation of DUEA and other promising methods such as internal model
control and output regulation theory have been analyzed in detail. The wide applications of these methods in different AC
motor drives (in particular in PMSM drives) are categorized and summarized. Finally the paper ends with the discussion on future
directions in this area