2016
DOI: 10.1109/tie.2015.2497302
|View full text |Cite
|
Sign up to set email alerts
|

Constrained State Feedback Speed Control of PMSM Based on Model Predictive Approach

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
61
0
3

Year Published

2017
2017
2024
2024

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 199 publications
(83 citation statements)
references
References 29 publications
1
61
0
3
Order By: Relevance
“…3(a)). In [26], the corresponding results are 0.046s and 0.076s respectively. Especially, there are no overshoot in the step response result.…”
Section: Step 2 the Nominal Controller Designmentioning
confidence: 90%
See 2 more Smart Citations
“…3(a)). In [26], the corresponding results are 0.046s and 0.076s respectively. Especially, there are no overshoot in the step response result.…”
Section: Step 2 the Nominal Controller Designmentioning
confidence: 90%
“…Two examples will be presented in this section. The one is the speed control of a Permanent Magnet Synchronous Motor (PMSM) [26,27]. In this instance, the design procedure of the proposed method will be demonstrated in detail, and the robust properties will be also presented.…”
Section: Numerical Examplementioning
confidence: 99%
See 1 more Smart Citation
“…Most DUEA approaches have not considered those issues, however, violating the constraints would degrade performance even compromise safety of AC servo control systems. New tools and techniques [102] on constraint handling are interesting and imperative for application of DUEA in AC machine drives. 4) Condition Monitoring: Machine vibration analysis and motor current spectral analysis (MCSA) have been widely used for abnormal condition monitoring [103], [104].…”
Section: B Open Issuesmentioning
confidence: 99%
“…Recently, with the rapid progress in modern control theories, many researchers have contributed to the development of nonlinear control methods for the PMSM, for example, adaptive control [4,5], robust control [6,7], intelligent control [8,9], model predictive control [10], and slidingmode control [11,12].…”
Section: Introductionmentioning
confidence: 99%