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Alfian Ma'arif
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alfian.maarif@te.uad.ac.id
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ijrcs@ascee.org
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International Journal of Robotics and Control Systems
Published by Association for Scientific Computing Electronics and Engineering
ISSN : -     EISSN : 27752658     DOI : https://doi.org/10.31763/ijrcs
Core Subject : Engineering,
Control & Systems Engineering Electrical & Electronics Engineering
International Journal of Robotics and Control Systems is open access and peer-reviewed international journal that invited academicians (students and lecturers), researchers, scientists, and engineers to exchange and disseminate their work, development, and contribution in the area of robotics and control technology systems experts. Its scope includes Industrial Robots, Humanoid Robot, Flying Robot, Mobile Robot, Proportional-Integral-Derivative (PID) Controller, Feedback Control, Linear Control (Compensator, State Feedback, Servo State Feedback, Observer, etc.), Nonlinear Control (Feedback Linearization, Sliding Mode Controller, Backstepping, etc.), Robust Control, Adaptive Control (Model Reference Adaptive Control, etc.), Geometry Control, Intelligent Control (Fuzzy Logic Controller (FLC), Neural Network Control), Power Electronic Control, Artificial Intelligence, Embedded Systems, Internet of Things (IoT) in Control and Robot, Network Control System, Controller Optimization (Linear Quadratic Regulator (LQR), Coefficient Diagram Method, Metaheuristic Algorithm, etc.), Modelling and Identification System.
Arjuna Subject : Teknik (semua kategori) - Teknik Kontrol dan Sistem
Articles 15 Documents
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Search results for , issue "Vol 2, No 2 (2022)" : 15 Documents clear
Particle Swarm Optimization (PSO) Tuning of PID Control on DC Motor Eka Suci Rahayu; Alfian Ma'arif; Abdullah Çakan
International Journal of Robotics and Control Systems Vol 2, No 2 (2022)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v2i2.476

Abstract

The use of DC motors is now common because of its advantages and has become an important necessity in helping human activities. Generally, motor control is designed with PID control. The main problem that is often discussed in PID is parameter tuning, namely determining the value of the Kp, Ki, and Kd parameters in order to obtain optimal system performance. In this study, one method for tuning PID parameters on a DC motor will be used, namely the Particle Swarm Optimization (PSO) method. Parameter optimization using the PSO method has stable results compared to other methods. The results of tuning the PID controller parameters using the PSO method on the MATLAB Simulink obtained optimal results where the value of Kp = 8.9099, K = 2.1469, and Kd = 0.31952 with the value of rise time of 0.0740, settling time of 0.1361 and overshoot of 0. Then the results of hardware testing by entering the PID value in the Arduino IDE software produce a stable motor speed response where Kp = 1.4551, Ki= 1.3079, and Kd = 0.80271 with a rise time value of 4.3296, settling time of 7.3333 and overshoot of 1.
Permanent Magnet Synchronous Generator Connected to a Grid via a High Speed Sliding Mode Control Omokhafe James Tola; Edwin A. Umoh; Enesi A. Yahaya; Osinowo E. Olusegun
International Journal of Robotics and Control Systems Vol 2, No 2 (2022)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v2i2.701

Abstract

Wind power generation has recently received a lot of attention in terms of generating electricity, and it has emerged as one of the most important sources of alternative energy. Maximum power generation from a wind energy conversion system (WECS) necessitates accurate estimation of aerodynamic torque and system uncertainties. Regulating the wind energy conversion system (WECS) under varying wind speeds and improving the quality of electrical power delivered to the grid has become a difficult issue in recent years. A permanent magnet synchronous generator (PMSG) is used in the grid-connected wind-turbine system under investigation, followed by back-to-back bidirectional converters. The machine-side converter (MSC) controls the PMSG speed, while the grid-side converter (GSC) controls the DC bus voltage and maintains the unity power factor. The control approach is second-order sliding mode controls, which are used to regulate a nonlinear wind energy conversion system while reducing chattering, which causes mechanical wear when using first-order sliding mode controls. The sliding mode control is created using the modified super-twisting method. Both the power and control components are built and simulated in the same MATLAB/Simulink environment. The study successfully decreased the chattering effect caused by the switching gain owing to the high activity of the control input.
On Some Interesting Problems of Control Systems Laszlo Keviczky; Csilla Bányász
International Journal of Robotics and Control Systems Vol 2, No 2 (2022)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v2i2.527

Abstract

The paper discusses some interesting mainly philosophical paradigms of the modelling and control areas, which are still partly unsolved and/or only partially studied.
Performance Analysis of PSO DFFP Based DC-DC Converter with Non Isolated CI using PV Panel C. Nagarajan; K. Umadevi; S. Saravanan; M. Muruganandam
International Journal of Robotics and Control Systems Vol 2, No 2 (2022)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v2i2.628

Abstract

This article presents the modeling and development of a DC-DC converter with Partial Swarm Optimization with Distinctive Feed Forward Propagation (PSO-DFFP) controller for hybrid power systems, including photovoltaic panels. The transient and dynamic analysis of the proposed controller has been presented. The PSO-DFFP controller has been designed to improve the operating efficiency and reduces the input converter current ripple. The ANFIS and PSO DFFP controllers are developed, and the performance of the system is compared. The proposed system reduces the switching losses and voltage drops in switching modes. The proposed system is demonstrated and developed with a 200W, 100kHz model. From the experimental results, it can be exposed that the proposed system is acceptable for PV applications.
Real-Time Underground Plastic Pipeline Water Leakage Detection and Monitoring System Muhammad Haziq Hakim Rosman; Rozaimi Ghazali; Gowdie Palmer Derai; Hazriq Izzuan Jaafar; Chong Chee Soon; Dirman Hanafi; Zulfatman Has
International Journal of Robotics and Control Systems Vol 2, No 2 (2022)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v2i2.582

Abstract

The leaking of the water pipeline increasingly influences the quality of life and threatens the water supplier in developing countries. Proper method is required to effectively detecting the source for replacement to reduce the loses. Therefore, a water leakage detection with monitoring system is developed to detecting the precise leaking location of a buried plastic pipeline. The real-time pressure data obtained from the pressurized pipeline are transferred to the monitoring system with GUI (graphical User Interface), developed using LabVIEW software. In the experimental execution, a leaking pipeline is designed. Then, few pressure sensors are installed on the pipeline as a primary segment for the detection process. To prevent a false non-leak alarm and malfunction of the pressure sensors, the pressure threshold value and malfunction alarm is set using LabVIEW. Cross-correlation method is implemented that increase the accuracy of the leaking distance estimation. The processing and control unit in this article are manipulated using LabVIEW software and NI myRIO-1900 respectively.

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