Design and implementation speed control system of DC Motor based on PID control and matlab simulink

Hammoodi, Salman Jasim; Flayyih, Kareem Sayegh; Hamad, Ahmed Refaat

doi:10.11591/ijpeds.v11.i1.pp127-134

Cited by 40 publications

(26 citation statements)

References 24 publications

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“…Where 𝐾 𝑚 is The permeability function of the magnetic material [25]. The armature current (𝐼 𝑎 ) and input voltage (𝑉 𝑎 ) have a relationship in the armature circuit the equation is as follows, 𝑉 𝑎 (𝑠) = (𝑅 𝑎 + 𝐿 𝑎 .…”

Section: Motormentioning

confidence: 99%

Optimization of PID parameters for controlling DC motor based on the aquila optimizer algorithm

Aribowo

Supari

Suprianto

2022

IJPEDS

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This study presents the application of the aquila optimizer (AO) algorithm to determine the parameters of the proportional integral derivative (PID) controller to control the speed of a dc motor. The AO method is inspired by the most popular bird of prey in the northern hemisphere named Aquila. Initially, the proposed AO algorithm is applied to unimodal and multimodal benchmark optimization problems. To get the performance of the AO method, the controller is compared with other methods, namely Seagull optimization algorithm (SOA), marine predators algorithm, giza pyramids construction (GPC), and chimp optimization algorithm (ChOA). The results represent that the AO is promising and shows the effectiveness. Determination of PID parameters using the AO method for dc motor speed control system shows superior performance.

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Section: Motormentioning

confidence: 99%

Optimization of PID parameters for controlling DC motor based on the aquila optimizer algorithm

Aribowo

Supari

Suprianto

2022

IJPEDS

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“…Based on the previous research that only modifies the incubator [15], the general operation of a baby incubator can be concluded. Modifications were made because they wanted to update components to be more advanced than before, such as updating the sensors, controls, and others [16][17] [18].…”

Section: Introductionmentioning

confidence: 99%

Analysis Of Baby Incubator Humidity Based PID with Kangaroo Mode

Setiawan

Andayani

Pudji

et al. 2022

j.electron.electromedical.eng.med.inform

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The main factor that affects the parameters of the workings of humidity in the baby incubator is the sensor used to read the humidity in the room. The purpose of this study is to analyze the humidity sensor in the baby incubator using 2 humidity sensors (DHT11 and DHT22) in the different location. The manufacture of this device used an after-only design, with a comparison device of INCU Analyzer, DHT11, and DHT22 sensors. Based on the measurement, DHT11 produced a value of 46%, while DHT22 produced a value of 55.45% with BPFK standards of 50%-70%. Based on the results of measurements using the INCU Analyzer, the average error value for DHT11 is 16.05%, while DHT22 is 3.47%. Therefore, the results showed that the DHT22 sensor was more accurate to be used in baby incubators because the measurement results were under BPFK standards and produced a low error value. This can be further implemented in a baby incubator making to improve the health and safety of the babies

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“…The design of base arm robot is carried out by using actuator base arm robot in form of a brushed DC motor to achieve the angular position of encoder sensor [11] with motor control in form of the PID method [12]. There are several approaches that can be implemented, one of which is discrete PID [13].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Controlling the Actuator Joint Angle Position on the Robot Arm Base Using Discrete PID Algorithm

Rohman

Saputra

2021

ULTIMA Computing

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DC motor is a motor that is easy to apply. Its application in robotic DC motor control often occurs errors due to the existing load, so that the DC motor becomes inaccurate. The control used is PID (proportional integral differential). This PID control system works by processing calculations based on the control variables Kp, Ki, and Kd to achieve the conditions according to the expected setpoint. To make a DC motor position control device can be controlled with a PID controller. In practice, the variable to be controlled in this research is position control in the form of degrees. With the Arduino Mega controller, the motor driver as a DC motor rotation controller, the DC motor is given feedback in the form of an encoder sensor, the software used is the Arduino IDE. The results showed that PID control can correct errors and transient responses with a time constant value of 1.50 seconds, a rise time of 1.60 seconds, a settling time of 2.30 seconds and a delay time of 1.20 seconds and a peak time of 1.6 seconds and an error value of 0.33% through tuning parameter Kp = 16 Ki = 0.001 Kd = 16.

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Design and implementation speed control system of DC Motor based on PID control and matlab simulink

Cited by 40 publications

References 24 publications

Optimization of PID parameters for controlling DC motor based on the aquila optimizer algorithm

Optimization of PID parameters for controlling DC motor based on the aquila optimizer algorithm

Analysis Of Baby Incubator Humidity Based PID with Kangaroo Mode

Modeling and Controlling the Actuator Joint Angle Position on the Robot Arm Base Using Discrete PID Algorithm

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