| 1. |
- Abasian, Alireza, et al.
(author)
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Vacuum-Packaged Piezoelectric Energy Harvester for Powering Smart Grid Monitoring Devices
- 2019
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In: IEEE Transactions on Industrial Electronics. - 0278-0046 .- 1557-9948. ; 66:6, s. 4447-4456
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Journal article (peer-reviewed)abstract
- This paper presents an analytical method for the design and power optimization of vacuum-packaged piezoelectric energy harvesters. It is shown that the maximum power point of a vacuum-packaged energy harvester is different from the conventional one which occurs when the electrical damping ratio equals to its mechanical counter-part. Also, it is shown that the captured power by a vacuum-packaged energy harvester is highly sensitive to the vibration frequency due to very low-mechanical damping ratio, e.g., up to 50% power drops corresponding to 2% deviations in the frequency. The analysis and design are performed in the context of an ac-line magnetic field energy harvester in which the line frequency is also fixed and this energy harvester is useful for developing the self-powered wireless monitoring devices. Furthermore, the vacuum-packaged devices are inherently robust against dust storm and icing phenomenon, which occur for overhead power lines. The proposed analytical method is established based on simplified assumptions and then an accurate method is developed for the analysis of vacuum-packaged devices. Obtained theoretical results are verified in the laboratory through a prototype of the vacuum-packaged piezoelectric device, which captures up to 90 mu W from a 10-A line current.
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| 2. |
- Abdeljaber, Osama, et al.
(author)
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Fault Detection and Severity Identification of Ball Bearings by Online Condition Monitoring
- 2019
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In: IEEE Transactions on Industrial Electronics. - : IEEE. - 0278-0046 .- 1557-9948. ; 66:10, s. 8136-8147
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Journal article (peer-reviewed)abstract
- This paper presents a fast, accurate, and simple systematic approach for online condition monitoring and severity identification of ball bearings. This approach utilizes compact one-dimensional (1-D) convolutional neural networks (CNNs) to identify, quantify, and localize bearing damage. The proposed approach is verified experimentally under several single and multiple damage scenarios. The experimental results demonstrated that the proposed approach can achieve a high level of accuracy for damage detection, localization, and quantification. Besides its real-time processing ability and superior robustness against the high-level noise presence, the compact and minimally trained 1-D CNNs in the core of the proposed approach can handle new damage scenarios with utmost accuracy.
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| 3. |
- Abrahamsson, Johan, 1977-, et al.
(author)
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High-Speed Kinetic Energy Buffer : Optimization of Composite Shell and Magnetic Bearings
- 2014
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In: IEEE Transactions on Industrial Electronics. - 0278-0046 .- 1557-9948. ; 61:6, s. 3012-3021
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Journal article (peer-reviewed)abstract
- This paper presents the design and optimization of a high-speed (30 000 r/min) kinetic energy storage system. The purpose of the device is to function as an energy buffer storing up to 867 Wh, primarily for utility vehicles in urban traffic. The rotor comprises a solid composite shell of carbon and glass fibers in an epoxy matrix, constructed in one curing. The shell is optimized using a combined analytical and numerical approach. The radial stress in the shell is kept compressive by integrating the electric machine, thereby avoiding delamination. Radial centering is achieved through eight active electromagnetic actuators. The actuator geometry is optimized using a direct coupling between SolidWorks, Comsol, and Matlab for maximum force over resistive loss for a given current density. The optimization results in a system with 300% higher current stiffness than the reference geometry with constant flux area, at the expense of 33% higher power loss. The actuators are driven by semipassive H bridges and controlled by an FPGA. Current control at 20 kHz with a noise of less than 5 mA (95% CI) is achieved, allowing position control at 4 kHz to be implemented.
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| 4. |
- Acquaviva, Alessandro, 1987, et al.
(author)
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Analytical Conduction Loss Calculation of a MOSFET Three-Phase Inverter Accounting for the Reverse Conduction and the Blanking Time
- 2021
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In: IEEE Transactions on Industrial Electronics. - 0278-0046 .- 1557-9948. ; 68:8, s. 6682-6691
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Journal article (peer-reviewed)abstract
- The reverse conduction capability of MOSFETs is beneficial for the efficiency of a three-phase inverter. In this paper analytical expressions in closed form are presented which allow to quickly evaluate the conduction losses, considering the effect of the reverse conduction and blanking time for both sinusoidal PWM operation with and without third harmonic injection. The losses of a three-phase SiC MOSFET inverter suitable for traction applications are estimated with the proposed method and show good agreement of about 98.5 % with measurements, performed with a calorimetric setup.
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| 5. |
- Acquaviva, Alessandro, 1987, et al.
(author)
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Design and Verification of In-slot Oil-Cooled Tooth Coil Winding PM Machine for Traction Application
- 2021
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In: IEEE Transactions on Industrial Electronics. - 0278-0046 .- 1557-9948. ; 68:5, s. 3719-3727
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Journal article (peer-reviewed)abstract
- Tooth coil windings, in particular when using a double layer structure, present opportunities for in-slot liquid cooling. Since the windings are not overlapping, access to the slot from the end section for coolant liquids is enabled. In this paper, a solution for in-slot and instator direct oil cooling for a tooth coil winding machine is presented. The coils are pre-wound on bobbins and inserted on the stator teeth. The novelty of the design consists in the integration of the cooling, using a thermally conductive epoxy resin to create the channels within the slot as well as the positioning of the stator yoke cooling channels. A 50 kW machine for an automotive traction application is designed, manufactured and tested. Conjugate heat transfer simulations are used in the design process in combination with finite element analysis for the loss mapping. The thermal model is verified with measurements at 6 l/min oil flow and 17.5 A/mm2 continuous and 35 A/mm2 30 s peak. The thermal model is then used to establish a continuous operating point of 25 A/mm2 .
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| 6. |
- Akin, Bilal, et al.
(author)
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A Simple Real-Time Fault Signature Monitoring Tool for Motor-Drive-Embedded Fault Diagnosis Systems
- 2011
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In: IEEE Transactions on Industrial Electronics. - 0278-0046 .- 1557-9948. ; 58:5, s. 1990-2001
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Journal article (peer-reviewed)abstract
- The reference frame theory constitutes an essential aspect of electric machine analysis and control. In this study, apart from the conventional applications, it is reported that the reference frame theory approach can successfully be applied to real-time fault diagnosis of electric machinery systems as a powerful toolbox to find the magnitude and phase quantities of fault signatures with good precision as well. The basic idea is to convert the associated fault signature to a dc quantity, followed by the computation of the signals average in the fault reference frame to filter out the rest of the signal harmonics, i.e., its ac components. As a natural consequence of this, neither a notch filter nor a low-pass filter is required to eliminate fundamental component or noise content. Since the incipient fault mechanisms have been studied for a long time, the motor fault signature frequencies and fault models are very well-known. Therefore, ignoring all other components, the proposed method focuses only on certain fault signatures in the current spectrum depending on the examined motor fault. Broken rotor bar and eccentricity faults are experimentally tested online using a TMS320F2812 digital signal processor (DSP) to prove the effectiveness of the proposed method. In this application, only the readily available drive hardware is used without employing additional components such as analog filters, signal conditioning board, external sensors, etc. As the motor drive processing unit, the DSP is utilized both for motor control and fault detection purposes, providing instantaneous fault information. The proposed algorithm processes the measured data in real time to avoid buffering and large-size memory needed in order to enhance the practicability of this method. Due to the short-time convergence capability of the algorithm, the fault status is updated in each second. The immunity of the algorithm against non-ideal cases such as measurement offset errors and phase unbalance is theoretically and experimentally verified. Being a model-independent fault analyzer, this method can be applied to all multiphase and single-phase motors.
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| 7. |
- Andersson, A., et al.
(author)
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Assessment of an improved finite control set model predictive current controller for automotive propulsion applications
- 2020
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In: IEEE Transactions on Industrial Electronics. - 0278-0046 .- 1557-9948. ; 67:1, s. 91-100
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Journal article (peer-reviewed)abstract
- This paper presents an investigation on finite control set model predictive current control, validated experimentally with a rear axle electrical drive unit used in automotive applications. An improved problem formulation is suggested which lowers the computational turnaround time of the solver with approximately 40% for an horizon length of N=4. Apart from the computational requirement aspects, the assessment focuses on inverter efficiency, phase current total demand distortion, and acoustic performance. The proposed solution is evaluated against a standard double proportional and integrator (PI) field-oriented current controller with pulsewidth modulation. It is shown that the proposed solution is feasible, the associated optimization problem at hand can be solved in real time, while exploiting the attractiveness of the proposed improvements. In summary, it is concluded that the inverter efficiency can be improved without deteriorating neither the phase current harmonics nor the acoustic performance.
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| 8. |
- Andrikopoulos, Georgios, et al.
(author)
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Advanced nonlinear PID-based antagonistic control for pneumatic muscle actuators
- 2014
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In: IEEE Transactions on Industrial Electronics. - 0278-0046 .- 1557-9948. ; 61:12, s. 6926-6937
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Journal article (peer-reviewed)abstract
- In this paper, the positioning control problem of pneumatic muscle actuators (PMAs) is being considered. A two-degree-of-freedom nonlinear proportional-integral-derivative structure is being synthesized, providing ameliorated compensation of the PMAs' nonlinear hysteretic phenomena and advanced robustness through disturbance cancellation. Experimental studies are being utilized to prove the overall efficiency of the proposed control scheme with regard to set-point tracking performance for the position control of a single PMA, torsion angle control of a nonsymmetrical antagonistic PMA setup, and disturbance rejection in both single and antagonistic control scenarios.
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| 9. |
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| 10. |
- Andrikopoulos, Georgios, et al.
(author)
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Piecewise affine modeling and constrained optimal control for a pneumatic artificial muscle
- 2013
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In: IEEE Transactions on Industrial Electronics. - 0278-0046 .- 1557-9948. ; 61:2, s. 904-916
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Journal article (peer-reviewed)abstract
- In this article, the modeling and control problem of a Pneumatic Artificial Muscle (PAM) is being considered. The PAM is an actuator characterized by a decrease in the actuating length when pressurized. Its non-linear nature and time-varying parameters cause difficulties in modeling their characteristics, as well as in designing controllers for high-performance positioning systems. A constrained linear and PieceWise Affine (PWA) system model approximation is formulated and a control scheme composed of: a) a feedforward term regulating control input at specific setpoints, and b) a Constrained Finite Time Optimal Controller (CFTOC) handling any deviations from the system’s equilibrium points is being synthesized. Extended experimental studies are utilized to prove the efficacy of the suggested controller.
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