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RESEARCH PRODUCT

A Constrained Optimal Model Predictive Control for Mono Inverter Dual Parallel PMSM Drives

Ivan SpinaRosario MiceliRenato RizzoL. P. Di NoiaA. Cervone

subject

Renewable Energy Sustainability and the EnvironmentComputer scienceAC drive020209 energy020208 electrical & electronic engineeringConstrained optimizationEnergy Engineering and Power Technology02 engineering and technologyPermanent Magnet Synchronous MachineConvertersPower (physics)Reduction (complexity)Model predictive controlControl theory0202 electrical engineering electronic engineering information engineeringOverhead (computing)InverterTransient (oscillation)Electrical and Electronic EngineeringConstrained optimizationDual motorModel Predictive Control

description

The actual trends in the design of AC drives are directed to the reduction of the total weight, volume and cost. Usually, this implies the necessity to adopt new motor topologies and converter architectures. An important role is played by the mono-inverter dual parallel motor (MIDP), which gives the possibility to reduce the total weight and costs of power converters. This paper proposes a novel model predictive control algorithm in order to improve the transient performances of a MIDP used for an overhead carrier. The effectiveness of the proposal control is verified through some numerical simulations.

yearjournalcountryeditionlanguage
2018-10-012018 7th International Conference on Renewable Energy Research and Applications (ICRERA)
https://doi.org/10.1109/icrera.2018.8567021