Implementation of Cuckoo Search Optimized PIDDTC and FLDTC of PMSM with NEDC Reference Speed

Wahsh, S.; Badr, M.A.; Yassin, A.

doi:10.1109/accs-peit48329.2019.9062899

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…− 𝐿 𝑑 is equal to 𝐿 𝑞 so, the AFPMSM does not have a non-salient pole effect. The AFPMSM model in a-b-c is a differential equation of variable coefficients under the above assumptions and its equations are as follows [1], [9], [13], [19]− [24]. For simple treatment with the (1) and (2), coordination transformation into a Direct-quadrature axis is used.…”

Section: Axial Flux Permanent Magnet Motor Dynamic Equationsmentioning

confidence: 99%

Direct torque control of non-salient pole AFPMSMs with SVPWM inverter

Hassan

Rohieem

Saleh

2022

IJPEDS

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Axial flux motors use less material and thus are inherently less expensive. They can also deliver a high-power density, which is four times that of a radial flux motor. That makes studying the control methods for this motor necessary. The purpose of this study is to introduce a new dynamic and steady-state response control technique for axial flux permanent magnet synchronous motors (AFPMSMs). Dynamic equations describe the control characteristics of axial flux permanent magnet motors. The AFPMSM model and the space vector pulse width modulation (SVPWM) inverter were created using MATLAB Simulink. For the AFPMSM motor with an SVPWM inverter, direct torque control (DTC) is provided. The results of the proposed control technique are simulated and analyzed, and it is found to provide good performance. According to the results, the proposed control method reveals advantages in reducing the ripples and pulsating of the torque while enhancing speed dynamic and steady-state response.

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Section: Axial Flux Permanent Magnet Motor Dynamic Equationsmentioning

confidence: 99%

Direct torque control of non-salient pole AFPMSMs with SVPWM inverter

Hassan

Rohieem

Saleh

2022

IJPEDS

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“…FL based speed controller with DTC (FDTC) can be represented as an effective procedure of PMSMs speed control [20][21][22] with enhanced ψ, T ripples [23] This paper presents both the simulation and the experimental implementation of such advanced approaches for speed control applied upon PMSM. The GW intelligent swarm behaviour is used as an optimization algorithm in order to optimize all control parameters of a PID-based DTC (PIDDTC) and a FDTC.…”

Section: Introductionmentioning

confidence: 99%

Grey wolf optimizer algorithm based real time implementation of PIDDTC and FDTC of PMSM

Arafa

Wahsh

Badr

et al. 2020

IJPEDS

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Meta-heuristic optimization techniques are important tools to define the optimal solutions for many problems. In this paper, a new advanced artificial intelligence (AI) based direct torque control (DTC) speed drives are optimally designed and implemented in real time to achieve a high performance permanent-magnet synchronous-motor (PMSM) drive. Grey wolf (GW) algorithms are used with the standard PID-based DTC (PIDDTC) and with the DTC with fuzzy logic (FDTC) based speed controllers. DSPACE DS1202 is utilized in the real-time implementation. MATLAB SIMULINK is used to simulate the steady-state (S.S.) and dynamic responses. The overall system is tested at different operating conditions for both simulation and practical work and all results are presented. A comparison between experimental and simulation results is performed and also a comparison between different applied intelligent techniques is introduced.

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