Design of new diesel-electric power supply unit for military vehicles

Peroutka, Zdeněk; Glasberger, Tomas; Molnar, Jan

doi:10.1109/epepemc.2010.5606591

Cited by 8 publications

(4 citation statements)

References 14 publications

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“…For switched systems consisting of a finite number of linear delay differential equations (DDEs) (Kim et al, 2006), a common Lyapunov function is used to construct a controller to stabilize the switched system with time delay. Additionally, as a non-linear input, the problem of hysteresis is ubiquitous in a variety of systems, such as aerospace (Viswamurthy and Ganguli, 2007), military (Peroutka et al, 2010) systems. Researchers have done a lot of related work on hysteresis of actuators in the system.…”

Section: Introductionmentioning

confidence: 99%

Adaptive neural output feedback control for a class of switched non-linear systems with unknown backlash-like hysteresis of the actuator

Yang

2018

Transactions of the Institute of Measurement and Control

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This paper investigates the problem of adaptive neural output feedback control for a class of switched non-linear systems, and the unknown backlash-like hysteresis of the actuator is also taken into consideration. First, neural networks are used to approximate the uncertain functions in the studied system. Second, a state-observer is proposed to estimate the system states. Finally, an adaptive neural output feedback control algorithm based on a backstepping technique is constructed; in addition, dynamic surface control is applied to eliminate the explosion in complexity caused by the backstepping technique. By using Lyapunov stability theory, it is proved that all the signals of the switched system are bounded under the proposed control scheme. The effectiveness of the proposed approach is further confirmed by simulation experiments.

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Section: Introductionmentioning

confidence: 99%

Adaptive neural output feedback control for a class of switched non-linear systems with unknown backlash-like hysteresis of the actuator

Yang

2018

Transactions of the Institute of Measurement and Control

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“…Methods based on the back EMF are relatively simple but do not work well in low speed regions since the back EMF is small in comparison with noise appearing in the drive control system. Its advantage is relatively low computational cost [2]. The accuracy of the method can be improved by complementation of the back EMF equations by a model of the state evolution what results in a state space model which is evaluated by a stochastic filter, often by the Extended Kalman filter [3], [4], [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Sensorless direct torque control of PMSM with reduced model Extended Kalman filter

Glasberger

Muzikova

Peroutka

et al. 2013

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

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The aim of this paper is to study the use of the Extended Kalman filer (EKF) for sensorless control of a permanent magnet synchronous motor (PMSM) drive controlled by direct torque control (DTC). In contrast to the vector control, the DTC allows for better compensation of the dead-time effects, however, it also needs to run with much shorter sampling period. The challenge for the EKF is to minimize its execution time. This is achieved by using state space model of the drive with only two state variables, the rotor speed and the rotor position, which will be known as the reduced model. We show in simulations and experiments, that the EKF with this reduced model has the same performance as the four-dimensional full order model at much lower computational cost. This allows to use the EKF even in DTC with very short sampling time and take full advantage of the dead-time compensation. Due to better reconstruction of the voltage vector, the sensorless DTC is able to operate the drive at lower speed than the vector control with the same estimator. All experiments were carried out on a laboratory prototype of the drive with rated power of 11 kW and 44 poles. Control algorithms using DTC with sampling periods of 30 or 50 µs and vector control with sampling period of 125 µs were compared. The sensorless DTC with the reduced model EKF was found to be equal to DTC with the full model EKF in terms of performace and superior in terms of computational cost. Both sensorless DTC algorithms outperformed the vector control algorithm in accuracy of the estimation especially at low speed.

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“…Up to now, in many industrial applications, there is a great interest in four-leg inverters for three-phase four-wire applications. Such as power generation, distributed energy systems [1][2][3][4], active power filtering [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20], uninterruptible power supplies, special control motors configurations [21][22][23][24][25], military utilities, medical equipment [26][27] and rural electrification based on renewable energy sources [28][29][30][31][32]. This kind of inverter has a special topology because of the existence of the fourth leg; therefore it needs special control algorithm to fulfil the subject of the neutral current circulation which was designed for.…”

Section: Introductionmentioning

confidence: 99%

Electric Machines and Drives

Filizadeh¹

2013

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Miroslav Chomat attained his M.Sc. degree in Electrical Power Engineering from the Czech Technical University in Prague in 1988 and his Ph.D. degree in Electrical Engineering from the Institute of Electrical Engineering of the Academy of Sciences of the Czech Republic in 1994. He is currently a senior researcher and the head of the Department of Electrical Machines, Drives, and Power Electronics at the Institute of Thermomechanics AS CR, v.v.i. He is also an assistant professor at the Department of Electric Drives and Traction of the Czech Technical University in Prague. Between 1999 and 2000, he spent one year at the University of Wisconsin-Madison, USA working as a honorary research fellow. His research interests include numerical modeling and control of electrical machines, drives, power units and electronic converters.

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Design of new diesel-electric power supply unit for military vehicles

Cited by 8 publications

References 14 publications

Adaptive neural output feedback control for a class of switched non-linear systems with unknown backlash-like hysteresis of the actuator

Adaptive neural output feedback control for a class of switched non-linear systems with unknown backlash-like hysteresis of the actuator

Sensorless direct torque control of PMSM with reduced model Extended Kalman filter

Electric Machines and Drives

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