Design of Permanent Magnet-Assisted Synchronous Reluctance Motors with Maximum Efficiency-Power Factor and Torque per Cost

Kerdsup, Burin; Takorabet, Noureddine; Nahid‐Mobarakeh, Babak

doi:10.1109/icelmach.2018.8506937

Cited by 11 publications

(8 citation statements)

References 10 publications

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“…In Figure 2, the flux linkage of direct and quadrature axes may be defined according to d-and q-axes current id and iq as in the following equations. By considering Equations ( 14) and ( 15) as well, as mentioned above, the rotating electrical modeling of PMa-SynRM is given by the following equations [10,17]:…”

Section: Control Lawmentioning

confidence: 99%

“…Finally, in Section 4, the comparison between differential flatness and conventional PI control is discussed to demonstrate the benefits of the proposed control algorithm. A small-scale test bench 1-KW relying on the PMa-SynRM with ferrite magnets has been realized to attest to the performance of the designed control scheme in the laboratory [17].…”

Section: Introductionmentioning

confidence: 99%

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Design, Modeling, and Differential Flatness Based Control of Permanent Magnet-Assisted Synchronous Reluctance Motor for e-Vehicle Applications

et al. 2021

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This paper presents the utilization of differential flatness techniques from nonlinear control theory to permanent magnet assisted (PMa) synchronous reluctance motor (SynRM). The significant advantage of the proposed control approach is the potentiality to establish the behavior of the state variable system during the steady-state and transients operations as well. The mathematical models of PMa-SynRM are initially proved by the nonlinear case to show the flatness property. Then, the intelligent proportional-integral (iPI) is utilized as a control law to deal with some inevitable modeling errors and uncertainties for the torque and speed of the motor. Finally, a MicroLab Box dSPACE has been employed to implement the proposed control scheme. A small-scale test bench 1-KW relying on the PMa-SynRM has been designed and developed in the laboratory to approve the proposed control algorithm. The experimental results reflect that the proposed control effectively performs high performance during dynamic operating conditions for the inner torque loop control and outer speed loop control of the motor drive compared to the traditional PI control.

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Section: Control Lawmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design, Modeling, and Differential Flatness Based Control of Permanent Magnet-Assisted Synchronous Reluctance Motor for e-Vehicle Applications

et al. 2021

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“…To obtain the MTPA curve of i q , the derivative of the copper loss (17) with respect to i q can be expressed by using (18) assuming ∆L is a constant parameter. As shown in Fig.…”

Section: Mtpa For Copper Loss Minimizationmentioning

confidence: 99%

“…In this paper, a small-scale prototype PMA-SynRM with a ferrite magnet was designed and manufactured for laboratory tests [17]. The control scheme was carried out using a PI-controller-based field-oriented vector control (FOC).…”

Section: Introductionmentioning

confidence: 99%

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

Sriprang

Nahid‐Mobarakeh

Takorabet

et al. 2020

Journal of Electrical Engineering

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It is necessary to find the suitable d - and q -axis reference currents to control PMA-SynRM motors with high efficiency. This paper presents the maximum torque per ampere (MTPA) to minimize the copper losses of the system and utilizes the field weakening control to operate above the rated speed of the PMA-SynRM. The copper losses equation and electromagnetic torque are used to optimize the d - and q -axis current references. A small-scale 1 kW prototype PMA-SynRM was designed and manufactured to test and examine the proposed control in the laboratory. The proposed algorithm was digitally carried out using the MicroLab Box dSPACE. The simulation results show that the copper losses of the machine with the MTPA algorithm are lower than those without the MTPA algorithm. The PMA-SynRM operates above the base speed of ~ 70 % in the constant power region by mean of field weakening control.

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Intelligent Computed Torque Control With Recurrent Legendre Fuzzy Neural Network for Permanent-Magnet Assisted Synchronous Reluctance Motor

et al. 2023

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The goal of this research is to develop an intelligent controlled permanent-magnet assisted synchronous reluctance motor (PMASynRM) drive system by utilizing an intelligent computed torque control with recurrent Legendre fuzzy neural network (ICTCRLFNN), in order to adjust the nonlinear and time-varying control specifications of the motor. The team first proposes an ANSYS Maxwell-2D dynamic model that contains a maximum torque per ampere (MTPA) control PMASynRM drive. A lookup table (LUT) is composed of the finite element analysis (FEA) results, which bring about the current angle of command within the MTPA. Subsequently, the team designs a computed torque control (CTC) system to control the speed reference command. Creating a working CTC for practical applications is quite complex because the detailed system dynamics, which includes the unpredictability of the PMASynRM drive system, is not available beforehand. Thus, this study suggests that a recurrent Legendre fuzzy neural network (RLFNN) can act as a close substitute for the CTC to resolve its existing complications. Furthermore, the team modifies an adaptive compensator to proactively adjust for the potential calculated deviance of the RLFNN. Asymptotical stability is assured by using the Lyapunov stability method, which generates the RLFNN's online learning algorithms. This study concludes that certain experimental results verify the effective and robust qualities of the suggested ICTCRLFNN controlled PMASynRM drive.INDEX TERMS Permanent-magnet assisted synchronous reluctance motor (PMASynRM), computed torque control (CTC), intelligent computed torque control using recurrent Legendre fuzzy neural network (ICTCRLFNN), maximum torque per ampere (MTPA).

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Design of Permanent Magnet-Assisted Synchronous Reluctance Motors with Maximum Efficiency-Power Factor and Torque per Cost

Cited by 11 publications

References 10 publications

Design, Modeling, and Differential Flatness Based Control of Permanent Magnet-Assisted Synchronous Reluctance Motor for e-Vehicle Applications

Design, Modeling, and Differential Flatness Based Control of Permanent Magnet-Assisted Synchronous Reluctance Motor for e-Vehicle Applications

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

Intelligent Computed Torque Control With Recurrent Legendre Fuzzy Neural Network for Permanent-Magnet Assisted Synchronous Reluctance Motor

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