2021
DOI: 10.3390/en14040922
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Model-Free Control Using Improved Smoothing Extended State Observer and Super-Twisting Nonlinear Sliding Mode Control for PMSM Drives

Abstract: This paper proposes a novel model-free super-twisting nonlinear sliding mode control (MFSTNLSMC) strategy with an improved smoothing extended state observer (SESO) for permanent magnet synchronous motor (PMSM) drives. First of all, the improved SESO is introduced to estimate the unknown term of the PMSM ultra-local model. Secondly, a novel nonlinear sliding mode surface (NLSMS) is designed, which can effectively overcome the disadvantages of simple and rough signal processing of the conventional linear sliding… Show more

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Cited by 21 publications
(16 citation statements)
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“…In this case, the regulation time is given by Equation (18). In order to determine its minimum value, we will consider t f as a function of ι and t 0 .…”
Section: Settling Time Minimization With the Control Signal Constraintmentioning
confidence: 99%
See 1 more Smart Citation
“…In this case, the regulation time is given by Equation (18). In order to determine its minimum value, we will consider t f as a function of ι and t 0 .…”
Section: Settling Time Minimization With the Control Signal Constraintmentioning
confidence: 99%
“…Due to the advantages outlined above, sliding mode control is often used in practice, especially in power converter systems and electric drives. In [18], the super twisting sliding mode control of synchronous machines with permanent magnets is studied. The authors proposed a so-called ultra-local model of the permanent magnet synchronous motor.…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, a nonlinear PI sliding mode surface as the inner loop is defined as: 43 s 1 (t) = K p sig e(t)…”
Section: Control Strategies Designedmentioning
confidence: 99%
“…A nonlinear observer method based on the adaptive sliding mode observer is presented, but the chattering problem still exists with the inclusion of the switching term [28]. In [29], a super-twisting structure was introduced into the design of SMO to estimate rotor position and speed, which uses integral function to eliminate sliding-mode chattering. It can be noted that the aforementioned methods were designed based on the ideal situations without considering the parameter uncertainties, even though the control goals in these methods are achieved.…”
Section: Introductionmentioning
confidence: 99%