1993
DOI: 10.1109/9.241582
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Nonlinear speed observer for the PM stepper motor

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Cited by 48 publications
(24 citation statements)
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“…Moreover, we extend the result to multi-inputsoutputs systems. The obtained result can not only cope with the example studied in [23] using a more constructive way but also be applicable for the other systems. This paper is organised as follows: In Section 2, we first recall the concept of the NOCF, then we present an algorithm to construct a change of coordinates which permits to transform a non-linear system into the NOCF.…”
Section: Introductionmentioning
confidence: 80%
See 1 more Smart Citation
“…Moreover, we extend the result to multi-inputsoutputs systems. The obtained result can not only cope with the example studied in [23] using a more constructive way but also be applicable for the other systems. This paper is organised as follows: In Section 2, we first recall the concept of the NOCF, then we present an algorithm to construct a change of coordinates which permits to transform a non-linear system into the NOCF.…”
Section: Introductionmentioning
confidence: 80%
“…Moreover, instead of solving a set of partial differential equations, we give a general method to transform the systems into the NOCF. [23]): Let us consider the dynamical system of a PM stepper motor given in (17).…”
Section: Example Of Chiasson and Novotnakmentioning
confidence: 99%
“…This paper presents a new method to design nonlinear observer for PMSM. The strategy is based on constructing an extended output depending observer normal form through a change of coordinates [13], which enables us to apply the existing observers in the literatures, such as those presented in [14], [15], [16], [17].…”
Section: Introductionmentioning
confidence: 99%
“…Position can be generally obtained by an additional encoder, and velocity is estimated by observer. Several velocity observer design methods have been proposed [9], [12], [15]. A reduced order observer was proposed to estimate the velocity by phase currents and position in [9].…”
Section: Introductionmentioning
confidence: 99%