scholarly journals Adaptive Cost Function FCSMPC for 6-Phase IMs

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5222
Author(s):  
Manuel R. Arahal ◽  
Manuel G. Satué ◽  
Federico Barrero ◽  
Manuel G. Ortega
Keyword(s):  
Cost Function ◽  
Current Model ◽  
Induction Machines ◽  
Parameter Analysis ◽  
Valuable Insight ◽  
Simple Explanation ◽  
Figures Of Merit ◽  
Stator Current ◽  
Function Design ◽  
Multi Phase

In this paper, an adaptive cost function FCSMPC is derived from newly obtained results concerning the distribution of figures of merits used for the assessment of stator current model-based control of multi-phase induction machines. A parameter analysis of FCSMPC is carried out for the case of a six-phase motor. After extensive simulation and Pareto screening, a new structure has been discovered linking several figures of merit. This structure provides an simple explanation for previously reported results concerning the difficulty of cost function tuning for FCSMPC. In addition, the newly discovered link among figures of merit provides valuable insight that can be used for control design. As an application, a new cost function design scheme is derived and tested. This new method avoids the usual and cumbersome procedure of testing many different controller parameters.

Cost function design for modeling information overload in radar systems

2019 ◽  
Author(s):  
Paul G. Singerman ◽  
Ram M. Narayanan ◽  
Muralidhar Rangaswamy
Keyword(s):  
Cost Function ◽  
Information Overload ◽  
Radar Systems ◽  
Function Design

scholarly journals Partial Inductance Model of Induction Machines for Fault Diagnosis

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2340 ◽  
Author(s):  
Manuel Pineda-Sanchez ◽  
Ruben Puche-Panadero ◽  
Javier Martinez-Roman ◽  
Angel Sapena-Bano ◽  
Martin Riera-Guasp ◽  
...  
Keyword(s):  
Magnetic Circuit ◽  
Induction Machines ◽  
The Self ◽  
Magnetic Vector Potential ◽  
Diagnostic Systems ◽  
Magnetic Vector ◽  
Machine Model ◽  
Stator Current ◽  
Novel Approach ◽  
Short Circuits

The development of advanced fault diagnostic systems for induction machines through the stator current requires accurate and fast models that can simulate the machine under faulty conditions, both in steady-state and in transient regime. These models are far more complex than the models used for healthy machines, because one of the effect of the faults is to change the winding configurations (broken bar faults, rotor asymmetries, and inter-turn short circuits) or the magnetic circuit (eccentricity and bearing faults). This produces a change of the self and mutual phase inductances, which induces in the stator currents the characteristic fault harmonics used to detect and to quantify the fault. The development of a machine model that can reflect these changes is a challenging task, which is addressed in this work with a novel approach, based on the concept of partial inductances. Instead of developing the machine model based on the phases’ coils, it is developed using the partial inductance of a single conductor, obtained through the magnetic vector potential, and combining the partial inductances of all the conductors with a fast Fourier transform for obtaining the phases’ inductances. The proposed method is validated using a commercial induction motor with forced broken bars.

Multi-Phase CFD Modeling of a Solid Sorbent Carbon Capture System

2012 ◽  
Author(s):  
Emily M. Ryan ◽  
Wei Xu ◽  
David DeCroix ◽  
Kringan Saha ◽  
E. David Huckaby ◽  
...  
Keyword(s):  
Computational Modeling ◽  
Carbon Capture ◽  
Initial Conditions ◽  
Cfd Modeling ◽  
Phase Method ◽  
Valuable Insight ◽  
Solid Sorbent ◽  
Ansys Fluent ◽  
Design And Optimization ◽  
Multi Phase

Post-combustion solid sorbent carbon capture systems are being studied via computational modeling as part of the U.S. Department of Energy’s Carbon Capture Simulation Initiative (CCSI). The work focuses on computational modeling of device-scale multi-phase computational fluid dynamics (CFD) simulations for given carbon capture reactor configurations to predict flow properties, outlet compositions, temperature and pressure. The detailed outputs of the device-scale models provide valuable insight into the operation of new carbon capture devices and will help in the design and optimization of carbon capture systems. As a first step in this project we have focused on modeling a 1 kWe solid sorbent carbon capture system using the commercial CFD software ANSYS FLUENT®. Using the multi-phase models available in ANSYS FLUENT®, we are investigating the use of Eulerian-Eulerian and Eulerian-Lagrangian methods for modeling a fluidized bed carbon capture design. The applicability of the dense discrete phase method (DDPM) is being considered along with the more traditional Eulerian-Eulerian multi-phase model. In this paper we will discuss the operation of the 1 kWe solid sorbent system and the setup of the DDPM and Eulerian-Eulerian models used to simulate the system. The results of the hydrodynamics in the system will be discussed and the predictions of the DDPM and Eulerian-Eulerian simulations will be compared. A discussion of the sensitivity of the model to boundary and initial conditions, computational meshing, granular pressure, and drag sub-models will also be presented.

Detection of Localized Bearing Faults in Induction Machines by Spectral Kurtosis and Envelope Analysis of Stator Current

2015 ◽  
Vol 62 (3) ◽  
pp. 1855-1865 ◽  
Author(s):  
Valeria C. M. N. Leite ◽  
Jonas Guedes Borges da Silva ◽  
Giscard Francimeire Cintra Veloso ◽  
Luiz Eduardo Borges da Silva ◽  
Germano Lambert-Torres ◽  
...  
Keyword(s):  
Induction Machines ◽  
Bearing Faults ◽  
Envelope Analysis ◽  
Spectral Kurtosis ◽  
Stator Current
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