Commissioning and Control of the AMB Supported 3.5 kW Laboratory Gas Blower Prototype

Jastrzębski, Rafał P.; Смирнов, А. В.; Hynynen, Katja; Nerg, Janne; Sopanen, Jussi; Lindh, Tuomo; Heikkinen, Janne; Pyrhönen, Olli

doi:10.4028/www.scientific.net/ssp.198.451

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…Further, to be able to provide the rotor displacements in the position of the sensors and the bearings and the velocities at the location of the bearings, transformation matrices C C C s s s and C C C b b b are required. Additionally, the equivalent transformation matrices are necessary to include the stiffness of the PM in the rotor model [15].…”

Section: Approximating the Mechanical Rotor Modelmentioning

confidence: 99%

“…l and l Fe are the flux paths in the air and in the iron of the AMBs; l Fe = 108 mm. In this work, the observer feedback gain, L ob , is computed when using the linearized model (15) and placing the closed-loop pole, so that its natural frequency and damping ratio are 1760 Hz and one, respectively. The current feedback in the flux estimator corrects the integration of the applied voltages.…”

Section: Flux-controlled Ambmentioning

confidence: 99%

“…The discussed current-and flux-controlled AMB operation is demonstrated experimentally. The experiment set-up and devices used for the measurements are explained in [15]. The current control operates with i 0 = 2.5 A, while the flux control operates with zero bias.…”

Section: Comparison Of Current-and Flux-controlled Amb Systemsmentioning

confidence: 99%

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Cascaded Position-Flux Controller for an AMB System Operating at Zero Bias

et al. 2014

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The paper reports on the implementation and the design of a controller for a fuel cell blower (FCB) with active magnetic bearings (AMBs). The cascaded position-fluxcentralized controller is comprised of a centralized position control loop and an inner flux control loop. The last one is based on state estimation without explicit flux measurements. As the position control is not dependent on the magnetic field nonlinearities, such a control structure enables operation under a zero bias. The practical working implementation of a flux control for the industrial levitated rotor is shown for the first time. The flux control gives better results than current control for both normal and zero bias operation. The system is analyzed fully, combining rotor dynamics and power amplifier analyses simultaneously. The importance of using the coil voltage in addition to current and practical treatment of the flux control is revealed. The centralized position-flux controller is compared with a state-of-the-art cascaded position-current control, which has inner current control loops. The proposed control solution with a zero bias can achieve a dynamic performance comparable that of a controller with the classical bias current.

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Section: Approximating the Mechanical Rotor Modelmentioning

confidence: 99%

Section: Flux-controlled Ambmentioning

confidence: 99%

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Cascaded Position-Flux Controller for an AMB System Operating at Zero Bias

et al. 2014

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“…This means also that these resonance frequencies and damping values define the poles (or eigenvalues) of the system. Thus, it is straightforward to construct for instance a discrete statespace model and difference equations for the simulations [4]. The state-space presentation and the related difference equations are often used to model the system mechanics.…”

Section: Modelling Of the Mechanicsmentioning

confidence: 99%

Simulation, modeling, and virtual testing of electric-drive-powered mechatronic systems

Lindh

2013

2013 International Conference-Workshop Compatibility and Power Electronics

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This paper discusses the problems that arise when analyzing mechatronic systems that are driven by controlled electrical drives. Both the drive and mechanics contribute to the dynamics including various sources of nonlinearities and timevarying components. The paper discusses various different means of simulating such systems, with a special reference to software-in-loop and hardware-in-loop simulations.A mechatronic system is a combination of mechanical structures, electronics, pneumatics, hydraulics, and sensor technology, also requiring program and control design. Applications from robots and manipulators to vehicles, cranes, and machine tools, to mention but a few, constitute a large variety of different mechatronic combinations. Hence, mechatronics is truly a multidisciplinary field of research and engineering.This paper discusses modeling and simulation aspects of systems that are driven by controllable electric drives or other electric actuators. The dynamic behavior of such systems depends on mechanics, the electric drive, and control.The modeling of such systems as a whole is not straightforward. However, it is important to model the whole system if we wish to capture or fix problems such as oscillation, or if we want to improve the performance of the system or achieve a higher energy efficiency. Oscillations caused by the flexible modes of mechanical structures can be determined by analytical calculations or by the FEM, at least in the case of simple mechanical structures, yet the interactions between mechanics, the electric drive, and its control are hard to solve without treating the system as a whole. The energy efficiency of electrical drives is already high, and continues to increase. However, efficiency improvements tend to be expensive and small in terms of absolute value. Often, by analyzing and optimizing the control of processes where electrical drives are used, a significant efficiency improvement (tens of %) can be achieved, often without any extra investment costs.The question is, which kinds of frequency converter, motor, and mechanics models are adequate for the simulation of such systems. I. PROPERTIES OF MECHATRONIC SYSTEMSObviously, the characteristics of a mechatronic system vary between systems. However, some typical properties can be listed. The first, already recognized, property is the interconnection between components. There are interconnections between parts of the mechanical components, mechanics, and motor drives with their control, but also between other upper controllers such as PLCs in factory applications or the Engine Control Units (ECUs) of vehicles. In addition, the systems are connected with the environment. Examples of mechatronics systems in different environments are vehicle applications in a landscape with hills and different friction conditions, materials that are handled by material handling machines, or wind turbine applications operating in varying wind conditions.Most of the systems include nonlinear behavior to such a degree that pure linear models cannot be...

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