Modeling and Control of Magnetic Actuation Systems Based on Sensorless Displacement Information

Cervera, Alon; Ezra, Ofer; Kuperman, Alon; Peretz, Mor Mordechai

doi:10.1109/tie.2018.2847652

Cited by 16 publications

(4 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The preparation procedure of PPy/BC composites by in situ chemical polymerization was described in the previous work [19,28,40]. In this paper, a kind of flexible conductive material was designed using BC fiber suspension as a template.…”

Section: Methodsmentioning

confidence: 99%

Design and Optimization of Flexible Polypyrrole/Bacterial Cellulose Conductive Nanocomposites Using Response Surface Methodology

et al. 2019

View full text Add to dashboard Cite

Flexible conductive materials have greatly promoted the rapid development of intelligent and wearable textiles. This article reports the design of flexible polypyrrole/bacterial cellulose (PPy/BC) conductive nanocomposites by in situ chemical polymerization. Box-Behnken response surface methodology has been applied to optimize the process. The effects of the pyrrole amount, the molar ratio of HCl to pyrrole and polymerization time on conductivity were investigated. A flexible PPy/BC nanocomposite was obtained with an outstanding electrical conductivity as high as 7.34 S cm−1. Morphological, thermal stability and electrochemical properties of the nanocomposite were also studied. The flexible PPy/BC composite with a core-sheath structure exhibited higher thermal stability than pure cellulose, possessed a high areal capacitance of 1001.26 mF cm−2 at the discharge current density of 1 mA cm−2, but its cycling stability could be further improved. The findings of this research demonstrate that the response surface methodology is one of the most effective approaches for optimizing the conditions of synthesis. It also indicates that the PPy/BC composite is a promising material for applications in intelligent and wearable textiles.

show abstract

Section: Methodsmentioning

confidence: 99%

Design and Optimization of Flexible Polypyrrole/Bacterial Cellulose Conductive Nanocomposites Using Response Surface Methodology

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Thus, the position q of the ball can be regulated by changing the voltage amplitude. Owing to the varying magnetic field, the MagLev system is non-linear and unstable [37]. The linearised state-space model of a MagLev system is represented as follows [38,39]:…”

Section: System Descriptionmentioning

confidence: 99%

“…Thus, the position q of the ball can be regulated by changing the voltage amplitude. Owing to the varying magnetic field, the MagLev system is non‐linear and unstable [37]. The linearised state‐space model of a MagLev system is represented as follows [38, 39]:

\begin{matrix} right left right left right left right left right left right left0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em3pt \\ \{\begin{matrix} left1em4pt \\ \dot{x} (t) = A x (t) + B u (t) + △ A \cdot x (t) + d (t) \\ y (t) = C x (t) \end{matrix} \end{matrix}

where

x = {[q \dot{q} i]}^{T}

is the system state, u is the control input (voltage) and y is the system output;

△ A

and d denote the model uncertainties and external disturbances, respectively; A , B and C denote the system matrix, input matrix and output matrix, respectively, such as

\begin{matrix} right left right left right left right left right left right left0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em3pt \\ A & = [\begin{matrix} center center center1em4pt \\ 0 & 1 & 0 \\ 2 K_{f} \frac{I_{o}^{2}}{M_{s} G_{o}^{3}} & 0 & - 2 K_{f} \frac{I_{o}}{M_{s} G_{o}} \\ 0 & 0 & \frac{- R_{c}}{L_{c} + K_{b} N_{c} A_{p} / G_{o}} \end{matrix}], \\ B & = (][, \begin{array}{ccc} 0 & 0 & \frac{1}{L_{c}} \end{array}) \end{matrix}

…”

Section: Application To a Magnetic Levitation Systemmentioning

confidence: 99%

Stabilisability analysis and design of UDE‐based robust control

Tian

Zhong

Ren

et al. 2019

IET Control Theory & Applications

View full text Add to dashboard Cite

“…The realisation of EMS, as it is based on controlling magnetic field strength in a magnetic circuit, can be done by using electromagnets only. In this case, field strength and therefore the complete actuating force is controlled by the current in the actuator's coils (Cervera et al, 2019). The alternative is to add permanent magnets (PM) to the electromagnets, which impose, with regard to a certain operational point in the magnetic circuit, a static force.…”

Section: Introductionmentioning

confidence: 99%

Control and Operation of a Hybrid Actuator for Maglev Applications

Rickwärtz

Kolb

Franck

et al. 2021

Power Electronics and Drives

View full text Add to dashboard Cite

The hybrid actuator presented in this article is meant to enable stationary and slow dynamic levitation in Maglev applications. The term ‘hybrid’ refers to the design of the actuator, which is a combination of permanent magnets (PM) and electromagnets. This paper presents an analytically computable control algorithm for the said hybrid actuator. The theory of magnetic circuits is summarized shortly and used to derive a cascaded control loop consisting of an inner current controller and an outer air gap controller. Since the uncontrolled hybrid actuator is inherently unstable, the system has to be stabilized. By introducing a PID-controller into the air gap control loop, the unstable behaviour of the uncontrolled system is changed into the system behaviour of a damped harmonic oscillator. The advantage of this approach is that the computed controller parameters of the PID-controller can easily be adjusted, so the system behaviour of damping and eigenfrequency can be selected within a certain range. For the execution of the control algorithm, a microcontroller (MCU) is used and for precise air gap measurement, an eddy current sensor is installed. Finally, the behaviour of the current- and air gap controller is discussed for different measurement results and the adjustable system behaviour of the damped harmonic oscillator is presented.

show abstract

Modeling and Control of Magnetic Actuation Systems Based on Sensorless Displacement Information

Cited by 16 publications

References 35 publications

Design and Optimization of Flexible Polypyrrole/Bacterial Cellulose Conductive Nanocomposites Using Response Surface Methodology

Design and Optimization of Flexible Polypyrrole/Bacterial Cellulose Conductive Nanocomposites Using Response Surface Methodology

Stabilisability analysis and design of UDE‐based robust control

Control and Operation of a Hybrid Actuator for Maglev Applications

Contact Info

Product

Resources

About