High Performance Control of PMSM Drive System Implementation Based on DSP Real-Time Controller

Alsayed, Y. M.; Maamoun, A.; Shaltout, A.

doi:10.1109/itce.2019.8646462

Cited by 13 publications

(6 citation statements)

References 14 publications

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“…In this example, the current battery in the electric traction system is provided to generate three balanced phases of variable frequency alternating current in [19].…”

Section: Model With Invertersmentioning

confidence: 99%

An application for nonlinear control by input-output linearization technique for pm synchronous motor drive for electric vehicles

Abdellah¹,

Hazzab²,

Khessam³

2022

IJPEDS

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This paper leads to present the modified approach of the speed control for permanent magnet synchronous motors applied to electric vehicles using a nonlinear control. The motor's nonlinear dynamics are transformed into a linearized system model using the input-output feedback linearization technique. There are two permanent magnet synchronous motors (PMSM) in the propulsion model. In order to improve the motor's output torque, the direct component of the current is adjusted to zero. The electronic differential, which is used in the calculations, enables each driving wheel to be controlled individually at each curve. The MATLAB/Simulink software is used to implement modeling and simulation in order to assess the effectiveness of the suggested solution. Simulation studies are used to confirm the efficacy of the proposed technique. The obtained results signify that this approach is more accurate.

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“…In this example, the current battery in the electric traction system is provided to generate three balanced phases of variable frequency alternating current in [19].…”

Section: Model With Invertersmentioning

confidence: 99%

An application for nonlinear control by input-output linearization technique for pm synchronous motor drive for electric vehicles

Abdellah¹,

Hazzab²,

Khessam³

2022

IJPEDS

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“…In addition to these advantages, they are free from some disadvantages, as they require a constant source of power, as well as their need for early adopters to determine the primary impulse current. Many applications need to set the motor speed at a certain speed level, as well as obtain good response characteristics to speed and on this basis the need to build a control system to do this work emerged [1][2][3]. Many of its control systems used the proportional control -the differential -the differential (PID), the Fuzzy logic controller, and the Neural Networks Controller.…”

Section: Introductionmentioning

confidence: 99%

Optimization of DC motor speed control based on fuzzy logic-PID controller

Sheet¹

2021

Analysis and data processing systems

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In this paper the PID controller and the Fuzzy Logic Controller (FLC) are used to control the speed of separately excited DC motors. The proportional, integral and derivate (KP, KI, KD) gains of the PID controller are adjusted according to Fuzzy Logic rules. The FLC cotroller is designed according to fuzzy rules so that the system is fundamentally robust. Twenty-five fuzzy rules for self-tuning of each parameter of the PID controller are considered. The FLC has two inputs; the first one is the motor speed error (the difference between the reference and actual speed) and the second one is a change in the speed error (speed error derivative). The output of the FLC, i.e. the parameters of the PID controller, are used to control the speed of the separately excited DC Motor. This study shows that the precisiom feature of the PID controllers and the flexibllity feature of the fuzzy controller are presented in the fuzzy self-tuning PID controller. The fuzzy self – tuning approach implemented on the conventional PID structure improved the dynamic and static response of the system. The salient features of both conventional and fuzzy self-tuning controller outputs are explored by simulation using MATLAB. The simulation results demonstrate that the proposed self-tuned PID controller i.plementd a good dynamic behavior of the DC motor i.e. perfect speed tracking with a settling time, minimum overshoot and minimum steady state errorws.

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“…To resolve this problem, the fuzzy knowledge base values were adjusted appropriately based on the feedback system parameter [10,11]. is research proposes a drive system to overcome the slow response and tuning problems of the conventional PI speed controllers without any mathematical calculations [12,13]. However, the aforementioned research studies do not check with the massive change of load.…”

Section: Introductionmentioning

confidence: 99%

The Fuzzy PI Controller for PMSM’s Speed to Track the Standard Model

Quynh

2020

Mathematical Problems in Engineering

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This paper proposes a fuzzy PI controller to control the speed of a permanent magnet synchronous motor (PMSM). The structure of the system includes the speed loop controller (SLC) and the current loop controller (CLC). The speed loop controller is the fuzzy PI and standard model (SM). The CLC includes vector control and the space vector pulse width modulation (SVPWM). It compiles two closed-loop control systems for the PMSM. This research uses a very high-speed integrated circuit hardware description language (VHDL) to implement the proposed algorithm and embed it into Matlab/Simulink for simulation. Based on the PMSM parameter, this article tests the controller’s correctness with some of the load cases by changing the combined inertia and viscous friction of rotor and load. After success in simulation, the system is tested again by experiment on the FPGA kit. The simulation and experiment results show that when the load changes, the PMSM speed is still stable. The novelty of this research is that it compares two kinds of controllers between simulation and experiment results.

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High Performance Control of PMSM Drive System Implementation Based on DSP Real-Time Controller

Cited by 13 publications

References 14 publications

An application for nonlinear control by input-output linearization technique for pm synchronous motor drive for electric vehicles

An application for nonlinear control by input-output linearization technique for pm synchronous motor drive for electric vehicles

Optimization of DC motor speed control based on fuzzy logic-PID controller

The Fuzzy PI Controller for PMSM’s Speed to Track the Standard Model

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