Design and control of permanent magnet assisted synchronous reluctance motor with copper loss minimization using MTPA

Sriprang, Songklod; Nahid‐Mobarakeh, Babak; Takorabet, Noureddine; Pierfederici, Serge; Bizon, Nicu; Taghavi, Nesser; Vahedi, Abolfazl; Mungporn, Pongsiri; Thounthong, Phatiphat

doi:10.2478/jee-2020-0002

Cited by 18 publications

(10 citation statements)

References 20 publications

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“…The external control loop consists of DC bus voltage v C and the internal control loops include two inductor currents i L1 and i L2 . The cascade linear PI control laws [50,51] are set by the following expressions:…”

Section: Obtained Simulation and Experimental Results For Static And Dynamic Operationsmentioning

confidence: 99%

Adaptive Control of Fuel Cell Converter Based on a New Hamiltonian Energy Function for Stabilizing the DC Bus in DC Microgrid Applications

et al. 2020

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DC microgrid applications include electric vehicle systems, shipboard power systems, and More Electric Aircraft (MEA), which produce power at a low voltage level. Rapid developments in hydrogen fuel cell (FC) energy have extended the applications of multi-phase parallel interleaved step-up converters in stabilizing DC bus voltage. The cascade architecture of power converters in DC microgrids may lead to large oscillation and even risks of instability given that the load converters considered as loads feature constant power load (CPL) characteristics. In this article, the output DC bus voltage stabilization and the current sharing of a multi-phase parallel interleaved FC boost converter is presented. The extended Port-Hamiltonian (pH) form has been proposed with the robust controller by adding an integrator action based on the Lyapunov−Energy function, named “Adaptive Hamiltonian PI controller”. The stability and robustness of the designed controller have been estimated by using Mathematica and Matlab/Simulink environments and successfully authenticated by performing experimental results in the laboratory. The results have been obtained using a 2.5 kW prototype FC converter (by two-phase parallel interleaved boost converters) with a dSPACE MicroLabBox platform. The FC main source system is based on a fuel reformer engine that transforms fuel methanol and water into hydrogen gas H2 to a polymer electrolyte membrane FC stack (50 V, 2.5 kW).

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Section: Obtained Simulation and Experimental Results For Static And Dynamic Operationsmentioning

confidence: 99%

Adaptive Control of Fuel Cell Converter Based on a New Hamiltonian Energy Function for Stabilizing the DC Bus in DC Microgrid Applications

et al. 2020

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“…On the other hand, the direct FOC method gives more THD of stator voltage and current compared to the indirect FOC control technique [33]. The principle of operation of the direct method is illustrated in the following scientific works [34][35][36][37][38][39]. In [35], the indirect FOC (IFOC) method improved the performance of the induction generator compared with the direct FOC (DFOC) strategy.…”

Section: Direct Foc Methods With Ssmc Controllersmentioning

confidence: 99%

A Synergetic Sliding Mode Controller Applied to Direct Field-Oriented Control of Induction Generator-Based Variable Speed Dual-Rotor Wind Turbines

Benbouhenni

Bizon

2021

Energies

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A synergetic sliding mode (SSM) approach is designed to address the drawbacks of the direct field-oriented control (DFOC) of the induction generators (IGs) integrated into variable speed dual-rotor wind power (DRWP) systems with the maximum power point tracking (MPPT) technique. Using SSM controllers in the DFOC strategy, the active power, electromagnetic torque, and reactive power ripples are reduced compared to traditional DFOC using proportional-integral (PI) controllers. This proposed strategy, associated with SSM controllers, produces efficient state estimation. The effectiveness of the designed DFOC strategy has been evaluated on variable speed DRWP systems with the MPPT technique.

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“…The equivalent circuit models for PMSM in the rotatingcoordinate system are shown in Fig. 1 (a) and (b) respectively [28]. In Fig.…”

Section: A Equivalent Circuit Modelsmentioning

confidence: 99%

Operation Efficiency Optimization for Permanent Magnet Synchronous Motor Based on Improved Particle Swarm Optimization

Chen

Shu

et al. 2021

IEEE Access

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Design and control of permanent magnet assisted synchronous reluctance motor with copper loss minimization using MTPA

Cited by 18 publications

References 20 publications

Adaptive Control of Fuel Cell Converter Based on a New Hamiltonian Energy Function for Stabilizing the DC Bus in DC Microgrid Applications

Adaptive Control of Fuel Cell Converter Based on a New Hamiltonian Energy Function for Stabilizing the DC Bus in DC Microgrid Applications

A Synergetic Sliding Mode Controller Applied to Direct Field-Oriented Control of Induction Generator-Based Variable Speed Dual-Rotor Wind Turbines

Operation Efficiency Optimization for Permanent Magnet Synchronous Motor Based on Improved Particle Swarm Optimization

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