2010
DOI: 10.1177/0142331210371814
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A composite speed controller based on a second-order model of permanent magnet synchronous motor system

Abstract: The speed-regulation problem for a permanent magnet synchronous motor (PMSM) servo system is studied in this paper. In traditional control design for a speed loop, a first-order model is used to approximately describe the relationship between the reference quadrature axis current and the speed output, i.e. the reference quadrature axis current is regarded as the same as the quadrature axis current. This approximation degrades the closed-loop performance of PMSM system when using a vector control scheme. To thi… Show more

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Cited by 91 publications
(18 citation statements)
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“…The dynamic response of a closed loop system can be improved by using nonlinear sliding surfaces. For PMSM speed control, several works have been executed using linear SMC, but the drawbacks of linear SMC were overcame by means of hybridization to develop a composite SMC controller [8,43,44] or modification of the reaching law [11].…”
Section: Sliding Surface Design Modificationmentioning
confidence: 99%
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“…The dynamic response of a closed loop system can be improved by using nonlinear sliding surfaces. For PMSM speed control, several works have been executed using linear SMC, but the drawbacks of linear SMC were overcame by means of hybridization to develop a composite SMC controller [8,43,44] or modification of the reaching law [11].…”
Section: Sliding Surface Design Modificationmentioning
confidence: 99%
“…However, in practical applications, the upper bound of disturbances is hard to obtain. Hence, a high value of the switching gain is normally chosen to ensure disturbance rejection, which case will result in unwanted large chattering [8]. Several methods have been proposed to deal with this issue.…”
Section: Disturbance Compensationmentioning
confidence: 99%
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“…For this reason, a typical Direct Torque Controlled Space Vector Modulated (DTC-SVM) scheme, providing a fixed switching frequency, is hereby designed for both LSPMSM and induction motors. However, this popular method has also been analyzed, developed, and improved during the past decades (Arab Markadeh et al, 2011;Jidin et al, 2012;Shihua et al, 2011;Uddin and Hafeez, 2012;Vas, 1998;Yongchang and Jianguo, 2011;Yongchang et al, 2012). For example, in Arab Markadeh et al (2011), brain emotional learning based intelligent controllers have been designed for controlling torque and flux parameters.…”
Section: Introductionmentioning
confidence: 99%