Aygun, H.Gokdag, M.Aktas, M.Cernat, M.2024-09-292024-09-292014978-147992399-1https://doi.org/10.1109/ISIE.2014.6864700https://hdl.handle.net/20.500.14619/9370Bogazici University; IEEE Industrial Electronics Society (IES); The Institute of Electrical and Electronics Engineers (IEEE)2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014 -- 1 June 2014 through 4 June 2014 -- Istanbul -- 107393In this paper, a Particle Swarm Optimization based PI controller (PSO-PI) is used for control the speed and the torque of a Permanent Magnet Synchronous Motor (PMSM) while a Model Reference Adaptive System (MRAS) based on an Artificial Neural Network (ANN) estimation mechanism is applied to estimate sensorless the speed. In order to show the capability of the proposed PSO-PI controller, it is compared with a Fuzzy-Logic PI controller and with a classical PI controller. The simulation results prove the usefulness of the proposed PSO-PI controller. © 2014 IEEE.eninfo:eu-repo/semantics/closedAccessArtificial neural networkField oriented controlModel reference adaptive systemParticle swarm optimizationPermanent magnet synchronous motorSensorless controlSpeed controlTorque controlA novel sensorless field oriented controller for Permanent Magnet Synchronous MotorsConference Object10.1109/ISIE.2014.68647002-s2.0-84907379137720N/A715