Dc Motor Speed Control Using Fpga

Telba, Ahmed

doi:10.1142/9789814667364_0034

Cited by 7 publications

(5 citation statements)

References 6 publications

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“…The DC motor is regarded as a common actuator in systems control. It produces direct rotational motion and could be coupled with drums, wheels, or and cables [10]. The equivalent electric circuit of the armature and the rotor free-body diagram is shown in Figure 1.…”

Section: Motor Modelingmentioning

confidence: 99%

“…The capability of the inverse neural to obtain the linearization of nonlinear systems and the structure simplicity made it easy to implement in engineering. In addition, it is very beneficial to apply the Artificial Neural Networks (ANN) for system-control and identification for the account of the neural: massive parallelism, capable of learning, quick adaptation, and the ability of inherentapproximation [10].…”

Section: Inverse Neural Controllermentioning

confidence: 99%

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FPGA Implementation of Modified Reconfigurable Adaptive Gain Scheduling Controller

Wheed¹,

Issa²,

Mohammed³

2021

ETJ

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This article aims to put forward a modified type of adaptive gain scheduling that will be able to deal with the immeasurable and unpredictable variations of system variables by adapting its value at each time instance to follow any change in the input and overcome any disturbance applied to the system without the need to predetermine gains values. In addition, the inverse neural controller will precede the gain scheduling to eliminate the need for complex system linear zing and parameter estimation. Therefore, the problems of needing complex mathematics for system linearization and gains calculations have been solved. The performance of the presented controller was tested by comparing the step response of a DC-motor controlled via the proposed technique and the response of that motor when controlled by the inverse neural controller and PID controller. MATLAB/Simulink has been used for making the simulations and obtaining the results. In addition, the FPGA implementation of the proposed controller has been presented. The results showed a remarkable improvement in the transient response of the system for all of the rising time, delay time, settling time, peak overshoot, and steady-state error.

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Section: Motor Modelingmentioning

confidence: 99%

Section: Inverse Neural Controllermentioning

confidence: 99%

FPGA Implementation of Modified Reconfigurable Adaptive Gain Scheduling Controller

Wheed¹,

Issa²,

Mohammed³

2021

ETJ

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“…(2) By applying KVL and Newton's law on the circuit of the Figure 2 and convert resulting equations into Laplace transform then re-order those equations, the input voltage V(s) to output position ϴ(s) transfer function and the input voltage V(s) to output speed 𝛚(s) transfer function appear in equation 3 & 4 respectively [15].…”

Section: DC Motor Modelingmentioning

confidence: 99%

A Hybrid Neural-Fuzzy Network Based Fault Detection and IsolationSystem for DC Motor of Robot Manipulator

Jassim¹,

Issa²,

Jawad³

2019

ETJ

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“…The LabVIEW programming environment offers, through its libraries, all needed components for performing graphic interfaces, simple and easy to use, [1], [2], [3]. By considering the previous arguments, it may be certainly said that the LabVIEW environment, through its facilities, represents a feasible solution for controlling the speed of the electric drive systems equipped with permanent magnet D.C. servomotors, [4], [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Speed Control of a Permanent Magnet D.C. Servomotor through CompactRIO 9074

Livinti¹

2016

DAAAM Proceedings

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This work presents an electric drive system equipped with a permanent magnet D.C. servomotor supplied from a D.C. voltage converter. For designing the speed regulator, the module criterion has been used, namely the Kessler variant. In the LabVIEW graphic programming environment an application has been conceived for real time control of the permanent magnet D.C. servomotor speed (rpm). For implementing the application in real time, a P.C. has been used, as well as a data acquisition board CompactRIO 9074 produced by National Instruments -U.S.A.

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Dc Motor Speed Control Using Fpga

Cited by 7 publications

References 6 publications

FPGA Implementation of Modified Reconfigurable Adaptive Gain Scheduling Controller

FPGA Implementation of Modified Reconfigurable Adaptive Gain Scheduling Controller

A Hybrid Neural-Fuzzy Network Based Fault Detection and IsolationSystem for DC Motor of Robot Manipulator

Speed Control of a Permanent Magnet D.C. Servomotor through CompactRIO 9074

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