Modeling and simulation of ac–dc buck-boost converter fed dc motor with uniform PWM technique

Ahmed, Nabil A.

doi:10.1016/j.epsr.2004.08.010

Cited by 22 publications

(7 citation statements)

References 5 publications

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“…3, Nm/rad/s, J 1 = 0.0048 kg•m 2 , J 2 = 0.0094 kg•m 2 , J L = 0.026 kg • m 2 , n g = 0.5, Load torque = τ L = K L ω 2 2 , J eq = J 1 + n 2 g J 2 and K eq = K 1 + n 2 g K 2 . Dynamic model of a DC motor using controlled voltage power source such as PWM control, are widely elaborated in literature [46]- [48]. Therefore, details will not be mentioned here.…”

Section: A Application Example 1: Modeling and Analysis Of A Complex ...mentioning

confidence: 99%

Electric Circuit-Based Modeling and Analysis of the Translational, Rotational Mechanical and Electromechanical Systems Dynamics

et al. 2022

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To cope with the rapid development in technology, engineers are dealing with complex and heterogenous systems which composed of blocks that belong to different engineering fields such as electrical, mechanical, chemical, electromechanical, fluid, thermal etc. Mechanical and electrical systems are more often go hand to hand in many industrial systems. For system analyzing and designing purpose, engineers must model and simulate the systems to investigate problems and aim for the best performance before proceeding to the manufacturing stage. In the presence of complex mechanical system blocks, electrical and electronics engineers are often facing difficulties in modeling the mechanical blocks. Although similarity between individual mechanical and electrical elements is recognized since long time, but it has not drawn deserved attention for the use in the system level. In this paper, we investigate in great details how enabling electrical and electronics engineers to easily model and analyze complex mechanical and electromechanical systems through systematic approach. For this objective, thirteen rules are set, established, and elaborated on how to find the electrical circuit equivalent of a given mechanical or electromechanical system in order to be modelled and analyzed. The proposed approach is tested on both complex translational mechanical and electromechanical systems which includes a rotational mechanical system. Findings demonstrate that models generated by the equivalent of electric circuits are matching the models of existing mechanical and electromechanical system by 100%. The proposed systematic approach is promising and can be widely implemented in several industrial fields.INDEX TERMS Modeling and simulation; a set of rules; complex mechanical systems; electrical system; analogy.

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Section: A Application Example 1: Modeling and Analysis Of A Complex ...mentioning

confidence: 99%

Electric Circuit-Based Modeling and Analysis of the Translational, Rotational Mechanical and Electromechanical Systems Dynamics

et al. 2022

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“…The impedance adaptation between a photovoltaic generator and a load is a technological problem in order to transfer the maximum of the generated power [15,16] we use an adaptation block made up of a Buck-Boost converter controlled by a control circuit (Fig. 3).…”

Section: Buck-boost Type Dc-dc Convertermentioning

confidence: 99%

A three-phase NPC grid-connected inverter for photovoltaic applications using neural network MPPT

Boumaaraf

Talha

Bouhali

2015

Renewable and Sustainable Energy Reviews

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“…Several control techniques using conventional controllers have been reported for the control of SEDM [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. The learning ability, self-adapting capability, super fast computing features of artificial intelligence (AI) technology has brought a new challenge to electrical engineers who are struggling with complex, fast advancing, and interdisciplinary areas of technology.…”

Section: Introductionmentioning

confidence: 99%

Model reference controlled separately excited DC motor

George

Basu

Chiat

2009

Neural Comput & Applic

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This research article proposes the speed control of a separately excited DC motor (SEDM) in the constant torque region. The novelty of this article lies in the application of artificial neural network-based model reference controller (MRC) for the speed control of SEDM. This paper also discusses and compares the speed control systems of SEDM using PI-controlled and fuzzy logic-controlled chopper circuit with MRC. The entire system has been modeled using MATLAB 7.0/SIMULINK toolbox. It has been observed that chopper-controlled speed control system could be eliminated by the use of MRC and the performance of the proposed system is comparable with speed control system using chopper circuit.

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Modeling and simulation of ac–dc buck-boost converter fed dc motor with uniform PWM technique

Cited by 22 publications

References 5 publications

Electric Circuit-Based Modeling and Analysis of the Translational, Rotational Mechanical and Electromechanical Systems Dynamics

Electric Circuit-Based Modeling and Analysis of the Translational, Rotational Mechanical and Electromechanical Systems Dynamics

A three-phase NPC grid-connected inverter for photovoltaic applications using neural network MPPT

Model reference controlled separately excited DC motor

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