Estimation of parameters and tuning of a speed PI of permanent magnet DC motor using differential evolution

Bosco, Maycon Chimini; Guedes, Jacqueline Jordan; Castoldi, Marcelo Favoretto; Goedtel, Alessandro; Silva, Emerson Ravazzi Pires da; Buzachero, Luiz Francisco Sanches

doi:10.1109/iemdc.2017.8002318

Cited by 12 publications

(12 citation statements)

References 8 publications

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“…A Eig (15) In order for the convergence-speed of the object (13) much faster than the speed of the control object (11), the following condition must be satisfied: (17) Solving the (17) we have the following matrix L:…”

Section: 229 _ Idmentioning

confidence: 99%

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The sensorless control system for controlling the speed of direct current motor

Nguyen

2019

IJEECS

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This research aims to propose an algorithm for controlling the speed of the Direct Current (DC) motor in the absence of the sensor of speed. Based on the initial mathematical model of DC motor, the authors build the dynamic state equation of DC motor, and then build an estimation model to determine the speed of the DC motor without a sensor. The advantages of the proposed method are demonstrated through the closed-loop control model using the PID controller. In order for the results to be objective, we assume that the parameters of the DC motor in the estimation model are not known correctly. The results show that the quality of control in the absence of a sensor is equivalent to the case with the sensor.

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Section: 229 _ Idmentioning

confidence: 99%

“…So, it is very important to reduce the cost of the control system, but enhance the performance of the DC motor. There is some research for controlling the DC motor such as [14][15][16][17][18]. Most of these researchers use a simple controller such as Proportional-Integral-Derivative (PID) controllers [19][20].…”

Section: Introductionmentioning

confidence: 99%

The sensorless control system for controlling the speed of direct current motor

Nguyen

2019

IJEECS

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“…Therefore, DC motors are increasingly widely used in areas that require high-quality control, such as crane, elevator, conveyor, steel rolling, transportation, mining, etc [8], [9][10][11][12][13]. There is some research for controlling the DC motor such as [14][15][16][17][18]. Most of these researchers use a simple controller such as Proportional-Integral-Derivative (PID) controllers [19][20].…”

Section: Introductionmentioning

confidence: 99%

The MRAC based-adaptive control system for controlling the speed of direct current motor

Nguyen¹,

Vuong²,

Nguyen³

2020

IJEECS

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This research aims to propose an adaptive control system for controlling the speed of the Direct Current (DC) motor. The system consists of two control loops: the first control loop is a traditional PID controller and the second control loop is an adaptive controller. The role of the adaptive controller is adjusting the output of the control object follows with the output of the reference model. The adjustment mechanism is very simple, but the quality of the whole system is very high: the conversion time is short and there isn't overshoot. The quality of the proposed adaptive control system is also compared to the traditional PID control system to show the advantages of the new system.

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“…So, the performance development of motor applications is very important. There are many research for controlling DC Motors such as [4]- [7], the most common method is using the Proportional-Integral-Derivative (PID) controllers. However, in several working modes of the DC motor, the characteristics of the DC motor are nonlinear so the PID controller is not suitable, the quality control is low.…”

Section: Introductionmentioning

confidence: 99%

The neural network-based control system of direct current motor driver

Nguyen¹

2019

IJECE

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This article aims to propose an adaptive control system for the direct current motor driver based on the neural network. The control system consists of two neural networks: the first neural network is used to estimate the speed of the direct current motor and the second neural network is used as a controller. The plant in this research includes motor and the driver circuit so it is a complex model. It is difficult to determine the exact parameters of the plant so it is difficult to build the controller. To solve the above difficulties, the author proposes an adaptive control system based on the neural network to control the plant reach the high quality in the case of unknowing the parameters of the plant. The results are that the control quality of the system is very good, the response speed always follows the desired speed and the transition time is small. The simulation results of the neural network control system are shown and compared with that of a PID controller to demonstrate the advantages of the proposed method.

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Estimation of parameters and tuning of a speed PI of permanent magnet DC motor using differential evolution

Cited by 12 publications

References 8 publications

The sensorless control system for controlling the speed of direct current motor

The sensorless control system for controlling the speed of direct current motor

The MRAC based-adaptive control system for controlling the speed of direct current motor

The neural network-based control system of direct current motor driver

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