Angular Position Control of DC Gear-Motor Using PID Controllers for robotic Arm

Moulahcene, Fateh; Laib, Hichem; Merazga, Amar

doi:10.1109/icecet55527.2022.9872821

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…The proposed method has a robust response and good noise rejection properties compared to other sliding mode methods. In addition to precise motor position control, many authors researched precise speed control using many different algorithms such as researchers focus on studying control systems using PID controllers were shown in (Al-Mustansiriyah University, Baghdad, Iraq & Mezher, 2019;Maung et al, 2018;Moulahcene et al, 2022;Saad, 2021). The author (Al-Mustansiriyah University, Baghdad, Iraq & Mezher, 2019) used a PID (proportional, integral and derivative) controller to control the feedback angle position of the DC motor to achieve the set angle position quickly through the Arduino microcontroller board to control the 12V brushed Namiki DC motor.…”

Section: Introductionmentioning

confidence: 99%

“…The performance of the DC motor achieves high stability and extremely low error oscillation for the output angular position by adjusting the gain parameters kp, ki and kd of the PID controller. With the author (Moulahcene et al, 2022) applied LabVIEW to control the position of the DC motor utilizing the 298 encoders aim to provide a feedback position signal to the PID controller. The PID controller performed in LabVIEW software sends control signals to the DC motor in real time through the Arduino board.…”

Section: Introductionmentioning

confidence: 99%

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Controlling the Position of the DC Motor using PID, and the Sliding Mode Algorithm

2023

EJS

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With the development of information technology and smart technology to meet the Industrial Revolution 4.0, and to meet life requirements. Automatic control devices require high-precision control quality. Therefore, in this paper, we focus on researching the Sliding mode controller to improve the control quality compared to PID controller. First, the sliding mode control is designed using the Lyapunov algorithm. Next, the process of simulating the position signal of a DC motor with a PID controller is compared with a sliding mode control to prove the effectiveness of the proposed controller.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Controlling the Position of the DC Motor using PID, and the Sliding Mode Algorithm

2023

EJS

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Intelligent Microcontroller Using Runtime Coefficient Update Techniques for Disturbance Robust Output Control

Jung

Park

2023

2023 International Conference on Electronics, Information, and Communication (ICEIC)

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Analyzing real-time communication: Arduino-based Controller Area Network (CAN) in electric vehicle

Ammar,

Djamel,

Fateh

et al. 2024

SEES

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The increasing complexity of electric vehicles (EVs) and the growing demand for propulsion and driver assistance have strengthened the need for CAN networks. This necessitates a detailed analysis of communication and CAN bus utilization. A low bus load does not guarantee a valid design if response times are insufficient. This paper presents a response time analysis (RTA) of a distributed real-time control system that uses an Arduino-based CAN network and an MCP2515 interface to check if the system can be scheduled. The RTA is based on calculating the worst-case response time of the message (WCRT), which is its longest response time. The prototype EV houses a system consisting of four (4) real-time embedded CAN nodes. We have implemented a PID controller within the motor speed control node. Based on existing literature, we proposed an algorithm to calculate the WCRT of the control system messages and another to address the priority inversion issue in network communication. The experimental results for the PID controller are satisfactory. The controller reaches the target speed with minimal oscillations with values 478ms, 31.81s, 0.62%, and 2.57%, corresponding to time rise, settling time, steady-state error, and overshoot at 90 rpm, demonstrating its robust performance. Experimental results confirm the scheduling analysis of the system with a low bus load (0.9% at 500 kbps). The tests conducted on the experimental and SAE benchmark data show that validity depends on message schedulability, bus load, and bandwidth. A system may be schedulable at 500 kbps but not at 125 kbps with the same traffic.

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Angular Position Control of DC Gear-Motor Using PID Controllers for robotic Arm

Cited by 3 publications

References 7 publications

Controlling the Position of the DC Motor using PID, and the Sliding Mode Algorithm

Controlling the Position of the DC Motor using PID, and the Sliding Mode Algorithm

Intelligent Microcontroller Using Runtime Coefficient Update Techniques for Disturbance Robust Output Control

Analyzing real-time communication: Arduino-based Controller Area Network (CAN) in electric vehicle

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