On-Line Speed Control of the Shunt-Connected DC Motor Via a Neurocontroller

Tapia, Ricardo; Rosas, Julio Cesar; Aguilar, Omar; Templos, Alejandro

doi:10.1049/cp.2014.0459

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…Various models have been proposed to convert the motor current [9] or voltage into a speed estimate and hence be usable in a motor speed control system. Interesting methods have included fuzzy algorithms [10,11], wavelets [12], genetic algorithms [13,14] and Kalman filters [15][16][17]. Saurav and Potluri [5] showed that for better accuracy the model should include mechanical factors, such as friction and any mechanical or electrical non-linearities.…”

Section: Research Articlementioning

confidence: 99%

Sensorless speed measurement for brushed DC motors

Radcliffe

Kumar

2015

IET Power Electronics

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This study describes two new methods of sensing the speed of a pulse-width modulation-driven brushed DC motor based on measuring the inductive spikes generated when the motor is turned off. The research has studied the relationship between the rise time or duration of the inductive spike, and the motor current and speed. Computationally inexpensive algorithms have been developed that use either rise time or duration to estimate speed. The algorithms have been implemented on an inexpensive microprocessor and show a speed error of approximately 10% over most of the motor's range of operation. The spike rise time implementation requires an analog-to-digital converter (ADC) as found in many microprocessors, while the spike duration implementation requires only a single digital input thus reducing the cost of the controlling microprocessor. This work has shown that sensorless speed measurement can be based on the inductive spike and has also raised future research questions, such as to the best way to optimise the speed measurement in dynamic situations, and measurement errors to be expected in a mass production environment.

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Section: Research Articlementioning

confidence: 99%

Sensorless speed measurement for brushed DC motors

Radcliffe

Kumar

2015

IET Power Electronics

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“…Shunt motor parameters are estimated by genetic algorithm in Mach et al (2012). Tapia et al (2014) proposed the speed neural control of a DC shunt motor. A DC shunt motor is used in a stand-alone PV system in Sweidan et al (2020).…”

Section: Introductionmentioning

confidence: 99%

“…In the existing studies (Osman et al , 2022; Mach et al , 2012; Tapia et al , 2014; Sweidan et al , 2020; Soressi, 2012; Ene et al , 2021; Zhang et al , 2022; Silva-Ortigoza et al , 2023; Villarreal-Cervantes et al , 2021; Wang et al , 2021; Silva-Ortigoza et al , 2021), only the electrical equivalent circuit including the armature and excitation circuit is given for the DC motor model. The mechanical part required to complete the machine model is expressed only with mechanical equations.…”

Section: Introductionmentioning

confidence: 99%

Extended electrical equivalent circuit for modelling compound DC motors

Kandemir Beser

2023

COMPEL

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Purpose The purpose of this study is to create an extended equivalent circuit model for a compound DC motor, consisting completely of electrical parameters and quantities. Design/methodology/approach The dynamic model of the compound DC motor is obtained by establishing the voltage equations for the armature and excitation circuit and the mechanical equation for the mechanical part. The mechanical parameters in the dynamic model are converted into electrical parameters with an electrical circuit proposed for the mechanical part. By combining the armature and excitation circuits with the electrical circuit created for the mechanical part, the extended equivalent circuit model of the compound DC motor is obtained. Because the proposed extended equivalent model is completely an electrical circuit, simulations can be made in the circuit simulation programme. Simulations of the proposed compound DC motor circuit were carried out, and the accuracy of the proposed circuit was verified by performing experimental studies with an existing compound motor. Findings When comparing speed and current profiles in experiments and simulations, it is seen that compound DC motor can be modelled with the proposed equivalent circuit including completely electrical elements in a simulation programme for the circuits. The results show that the proposed equivalent circuit satisfies the dynamic model of the compound motor. Originality/value In DC machine models, armature and excitation circuits are given as an electrical circuit, and mechanical part of the machine is modelled by only mechanical equations. The originality of this study is converting the dynamic model of an electrical machine consisting of electrical and mechanical equations into a completely electrical circuit. With the proposed method, the dynamic model of many motors can be converted into a completely electrical circuit. In this way, motors can be simulated as an electrical circuit in simulation programmes for the circuits, and the dynamic behaviour of motors can be obtained.

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