Model reference controlled separately excited DC motor

George, Moleykutty; Basu, K.P.; Chiat, Alan Tan Wee

doi:10.1007/s00521-009-0271-1

Cited by 10 publications

(7 citation statements)

References 30 publications

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“…Thus, the function of a diverter is to reduce the current flowing through the field winding. The reduction in field current reduces the amount of flux and as a result the speed of the motor increases [3], [4].…”

Section: By Using a Divertermentioning

confidence: 99%

Modeling and Simulation of DC Motor Speed Regulation by Field Current Control Using MATLAB

Rudra¹,

Banerjee²

2017

IJCEE

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Today's Technology requires faster and easier methods of controlling equipment. Direct Current (DC) motor is one of such equipment. Its speed is inversely proportional to flux, hence field current. Using this established relationship between the speed and flux, this paper investigates the effects of different field current on the output response of the field controlled direct current motor. The aim is to establish relationship between the speed of DC motor and the load torque at different field current. The first stage of the study involves mathematical modeling of the system while the second stage is based on the simulation of a field controlled DC motor in MATLAB SIMULATION environment. The steady state response shows that at different field current speed of the DC motor is directly proportional to the load torque. The transient response shows that without any feedback the performance of the response can be improved.

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Section: By Using a Divertermentioning

confidence: 99%

Modeling and Simulation of DC Motor Speed Regulation by Field Current Control Using MATLAB

Rudra¹,

Banerjee²

2017

IJCEE

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“…In learning process, neural network adjusts its structure such that it is able to output the same signals as the supervisor. The learning is repeated until the difference between network output and supervisor is enough [7]. The basic model of a single artificial neuron consists of a weighted summer and an activation (or transfer) function as shown in…”

Section: Neural Networkmentioning

confidence: 99%

Field Weakening Control of a Separately Excited DC Motor Using Neural Network Optemized by Social Spider Algorithm

Hameed¹,

Kadhim²,

Al-Thuwaynee³

2016

ENG

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This paper presents the speed control of a separately excited DC motor using Neural Network (NN) controller in field weakening region. In armature control, speed controller has been used in outer loop while current controller in inner loop is used. The function of NN is to predict the field current that realizes the field weakening to drive the motor over rated speed. The parameters of NN are optimized by the Social Spider Optimization (SSO) algorithm. The system has been implemented using MATLAB/SIMULINK software. The simulation results show that the proposed method gives a good performance and is feasible to be applied instead of others conventional combined control methods.

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“…Hysteresis current controller (HCC) is used to generate switching patterns required for the chopper circuit by comparing the actual current being drawn by the motor with the reference current [14]. In an HCC, the armature current is forced to stay within the hysteresis band determined by the upper and lower hysteresis limits ∆i [3]. Commanded current and actual current are shown in Figure 6.…”

Section: Modeling Of Hysteresis Current Controllermentioning

confidence: 99%

“…For the armature source a controlled rectifier or chopper is required [2]. Armature voltage control method is used to vary the speed up to the rated speed and the motor operates in the constant torque region [3]. Conventional controllers such as PI and PID have been applied to control the speed of DC motors.…”

Section: Introductionmentioning

confidence: 99%

Speed Control of Separately Excited DC Motor using Fuzzy Neural Model Reference Controller

Hameed¹

2012

IJICS

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Conventional controllers are generally used to control the speed of the separately excited DC motors in various industrial applications. It is found to be simple and high effective if the load disturbances is small. So the drawback of Conventional controllers when high load has been applied to the DC motor. This paper presents the speed control of a separately excited dc motor using Fuzzy Neural Model Referance controller.The system has been implemented using Matlab/Simulink software. The simulation results show that presenting controller give good performance and high robustness in load disturbance.

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Model reference controlled separately excited DC motor

Cited by 10 publications

References 30 publications

Modeling and Simulation of DC Motor Speed Regulation by Field Current Control Using MATLAB

Modeling and Simulation of DC Motor Speed Regulation by Field Current Control Using MATLAB

Field Weakening Control of a Separately Excited DC Motor Using Neural Network Optemized by Social Spider Algorithm

Speed Control of Separately Excited DC Motor using Fuzzy Neural Model Reference Controller

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