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Your search keyword '"Ivan Spina"' showing total 2 results
Start Over Author "Ivan Spina" Publisher institute of electrical and electronics engineers inc.
2 results on '"Ivan Spina"'

1. Sizing Procedure of PMSMs for Hybrid Parallel Aircraft Propulsion

Author

Adolfo Dannier, Andrea Del Pizzo, Luigi Pio Di Noia, Ivan Spina, Dannier, A., Pizzo, A. D., Pio Di Noia, L., and Spina, I.

Subjects
010302 applied physics, Electric motor, Motor power, medicine.medical_treatment, 020208 electrical & electronic engineering, Evolutionary algorithm, 02 engineering and technology, Traction (orthopedics), Propulsion, 01 natural sciences, Finite element method, Automotive engineering, Sizing, Quantitative Biology::Subcellular Processes, Non-gradient Optimization, Magnet, Permanent Magnet Motor, 0103 physical sciences, Aircraft Propulsion, 0202 electrical engineering, electronic engineering, information engineering, medicine, Hybrid Drive
Abstract

The aim of the paper is to present an optimized procedure for the preliminary sizing of permanent magnet motors used for the hybrid parallel propulsion of passengers aircrafts. The procedure is finalized to obtain high values of the motor power density and is carried out by means of a non-gradient approach with evolutionary algorithm integrated with magnetic and thermal finite element analyses. The target of the procedure is the achievement of a preliminary sizing of the motor suitable for the aircraft propulsion, starting from motors usually employed in other traction applications. Some numerical results are discussed in the paper with reference to significant case studies.

Published
2019

2. Fault detection via on-line parameter estimation for a strong variable parameters PM brushless machine

Author

Marino Coppola, Pierluigi Guerriero, Ivan Spina, Coppola, M., Guerriero, P., and Spina, I.

Subjects
Engineering, Current (mathematics), Control and Optimization, Basis (linear algebra), Estimation theory, business.industry, Mechanical Engineering, 020208 electrical & electronic engineering, 02 engineering and technology, Recursive Least Square, Fault Detection, Fault detection and isolation, Fault indicator, Inductance, Short Circuit, Control theory, Line (geometry), Automotive Engineering, 0202 electrical engineering, electronic engineering, information engineering, PMSM, 020201 artificial intelligence & image processing, Electrical and Electronic Engineering, business, Variable (mathematics), Parameter Monitoring
Abstract

With reference to a strong variable parameters AC brushless machine, the paper deals with an online method of fault detection for closed loop controlled PMSM. The proposed technique exploits the monitoring of the motor d,q axes inductances via a Recursive Least Square Algorithm (RLS). The motor parameters, which have been pre-mapped with reference to the d,q axes current components, are compared to the results of the online identification procedure and their discrepancy is evaluated in real time. A fault indicator index is derived and its behavior conditioned in order to properly recognize any anomalous condition. The proposed method is tested via numerical simulations on the basis of a real PM brushless machine whose parameter have been evaluated in different operating conditions by means of several off-line experimental measurements.

Published
2016

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