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Cited 5 time in webofscience Cited 6 time in scopus
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A Nonlinear Sliding Mode Controller for IPMSM Drives with an Adaptive Gain Tuning Ruleopen access

Authors
Jung, Jin-WooDong Quang DangNga Thi-Thuy VuJusto, Jackson JohnTon Duc DoChoi, Han HoKim, Tae Heoung
Issue Date
May-2015
Publisher
KOREAN INST POWER ELECTRONICS
Keywords
Interior Permanent Magnet Synchronous Motor (IPMSM); Nonlinear Sliding Surface; Sliding Mode Controller (SMC); Sliding Mode Observer (SMO); Speed Control; System Uncertainties
Citation
JOURNAL OF POWER ELECTRONICS, v.15, no.3, pp.753 - 762
Indexed
SCIE
SCOPUS
KCI
Journal Title
JOURNAL OF POWER ELECTRONICS
Volume
15
Number
3
Start Page
753
End Page
762
URI
https://scholarworks.bwise.kr/gnu/handle/sw.gnu/17276
DOI
10.6113/JPE.2015.15.3.753
ISSN
1598-2092
Abstract
This paper presents a nonlinear sliding mode control (SMC) scheme with a variable damping ratio for interior permanent magnet synchronous motors (IPMSMs). First, a nonlinear sliding surface whose parameters change continuously with time is designed. Actually, the proposed SMC has the ability to reduce the settling time without an overshoot by giving a low damping ratio at the initial time and a high damping ratio as the output reaches the desired setpoint. At the same time, it enables a fast convergence in finite time and eliminates the singularity problem with the upper bound of an uncertain term, which cannot be measured in practice, by using a simple adaptation law. To improve the efficiency of a system in the constant torque region, the control system incorporates the maximum torque per ampere (MTPA) algorithm. The stability of the nonlinear sliding surface is guaranteed by Lyapunov stability theory. Moreover, a simple sliding mode observer is used to estimate the load torque and system uncertainties. The effectiveness of the proposed nonlinear SMC scheme is verified using comparative experimental results of the linear SMC scheme when the speed reference and load torque change under system uncertainties. From these experimental results, the proposed nonlinear SMC method reveals a faster transient response, smaller steady-state speed error, and less sensitivity to system uncertainties than the linear SMC method.
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