Application of algebraic geometry techniques in permanent-magnet DC motor fault detection and identification

Menini, Laura; Possieri, Corrado; Tornambè, Antonio

doi:10.1016/j.ejcon.2015.05.001

Cited by 17 publications

(5 citation statements)

References 41 publications

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“…Two problems associated with unknown input estimation in DC motors are presented. For this end, two different mathematical models are selected from literature and used in this study: (1) a DC motor controlling an inverted pendulum [13] and (2) a permanent magnet DC motor [14].…”

Section: Problem Statementmentioning

confidence: 99%

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A Simple Nonlinear Observer for State and Unknown Input Estimation: DC Motor Applications

Martinez-Garcia

Astorga‐Zaragoza

Puig

et al. 2020

IEEE Trans. Circuits Syst. II

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The contribution of this work is to propose a method based on a simple nonlinear observer with an easy-to-compute observer gain, in order to achieve both state and unknown input estimation. Since the structure of the original model of the process does not require any transformation, the nonlinear dynamics are preserved. This allows an accurate estimation of the states and the unknown inputs or faults. Two particular cases involving DC motors are illustrated in simulation and an experiment using a permanent magnet DC motor is presented.

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Section: Problem Statementmentioning

confidence: 99%

“…2) Case 2. Permanent magnet DC motor: Consider the following model of a permanent magnet DC motor [14].…”

Section: Problem Statementmentioning

confidence: 99%

A Simple Nonlinear Observer for State and Unknown Input Estimation: DC Motor Applications

Martinez-Garcia

Astorga‐Zaragoza

Puig

et al. 2020

IEEE Trans. Circuits Syst. II

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show abstract

“…⊤ be a vector having as entries the corresponding output response and its time-derivatives. Hence, consider the following definition (see [24,25]). An embedding is linear if deg(p) = 1.…”

Section: Input-output Embeddings Of Single-input Single-output (Siso)mentioning

confidence: 99%

Algebraic approaches for the design of simultaneous observers for linear systems

Menini

Possieri

Tornambè

2020

IET Control Theory & Applications

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“…Nowadays, permanent magnets are continuously used in various applications like power generation, traction motor, DC motor, magnetic resonance imaging (MRI) technique, etc. [1][2][3]. It is accepted that the high performance of permanent magnets are usually due to the magnetism of the rare earth elements present in the composition of magnets.…”

Section: Introductionmentioning

confidence: 99%

IMPROVEMENT OF MAGNETIC PROPERTIES OF MnBi POWDERS PREPARED BY LOW-ENERGY BALL MILLING

Xuan¹

2018

JST

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Recently MnBi magnetic material attracts a large attention due to its potential for high-temperature permanent magnetic applications. Although its sponatenous magnetization is moderate, Ms ~ 8.2 kG74 emu/g but its large coercivity, iHc > 10 kOe, which results in the theoretical value of energy product (BH)max ~16.8 MGOe. The MnBi single phase is difficult to be prepared by using conventional techniques, such as the arc-melting, melt-spinning and sintering because of the big difference between the melting temperatures of Bi (544 K) and Mn (1519 K). Furthermore, the magnetic properties of magnets are strongly dependent on processing. The heat treatment of arc-melted alloys, the ball milling of annealed alloys, and the bulk magnets fabrication were found to have large effects on (BH)max of MnBi magnets. In this work, we report the effects of decomposition of MnBi LTPlow temperature phase (LTP) into Bi and Mn during low-energy ball milling (LEBM) carried out in xylene and silicon oil protection solvent environments and its influence on the magnetic properties of green MnBi as-milled powders. In both solvents, by LEBM for 120 - 150 min, MnBi arc-melted and annealed alloys were ground into fine particles of 0.5 – 5 µm to increase iHc up to 5 kOe. By LEBM for 120 min, the viscous silicon oil constrained the decomposition of MnBi (LTP) keeping Ms around 56 emu/g instead of 42 emu/g of in-xylene LEBM powders.

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Application of algebraic geometry techniques in permanent-magnet DC motor fault detection and identification

Cited by 17 publications

References 41 publications

A Simple Nonlinear Observer for State and Unknown Input Estimation: DC Motor Applications

A Simple Nonlinear Observer for State and Unknown Input Estimation: DC Motor Applications

Algebraic approaches for the design of simultaneous observers for linear systems

IMPROVEMENT OF MAGNETIC PROPERTIES OF MnBi POWDERS PREPARED BY LOW-ENERGY BALL MILLING

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