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Journal of Fuzzy Systems and Control (JFSC)
Published by Peneliti Teknologi Teknik Indonesia
ISSN : -     EISSN : 29866537     DOI : https://doi.org/10.59247/jfsc.v1i1.24
Core Subject : Science, Engineering,
Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
Journal of Fuzzy Systems and Control is an international peer review journal that published papers about Fuzzy Logic and Control Systems. The Journal of Fuzzy Systems and Control should encompass original research articles, review articles, and case studies that contribute to the advancement of the theory and application of fuzzy systems and control, and their integration with other technologies, such as artificial intelligence, machine learning, and optimization.
Arjuna Subject : Teknik (semua kategori) - Teknik Kontrol dan Sistem
Articles 78 Documents
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Trajectory Tracking Control Design for Mobile Robot Using Interval Type-2 Fuzzy Logic Akmal, Mochammad Dekcy; Al Tahtawi, Adnan Rafi; Wijayanto, Kartono; Wahab, Faisal
Journal of Fuzzy Systems and Control Vol. 2 No. 2 (2024): Vol. 2, No. 2, 2024
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v2i2.200

Abstract

A two-wheeled mobile robot (TWMR) is a type of mobile robot that is widely used for several tasks, one of which is trajectory tracking. This task will be complicated for the robot to track the desired trajectory when there are disturbances in the robot, such as the presence of noise from the sensor feedback. Therefore, a robust control mechanism is needed so that the robot is able to track the trajectory properly. This study proposes an Interval Type-2 Fuzzy Logic Control (IT2FLC) for controlling TWMR which has noise parameters in the heading angle. IT2FLC Sugeno method is designed with error input from the heading angel and its changes, while the output is a voltage for the left and right motors of the robot. The input membership function is constructed using a triangular function with three different Footprint of Uncertainty (FoU) values as a comparison. This controller is then implemented to control the heading angle according to the trajectory of the robot using the Differential Drive Wheeled Mobile Robot (DDWMR) kinematic model. Several scenarios are then testing via MATLAB/Simulink to see the controller performance. The test results by including the noise parameter as disturbance show that IT2FLC can produce a better performance when compared to ordinary FLC. The widest FoU value of 0.3 can produce the smallest error value of up to 0.003 on the ISE criteria.
Adaptive Evaluation of LQR Control using Particle Swarm Optimization for Pendubot Nguyen, Duc-Anh-Quan; Nguyen, Luu-Quang-Thinh; Nguyen, Phong-Luu; Le, Duc-Quy; Lieu, Phu-Thuan-An; Lam, Quang-Buu; Tran, Anh-Thu; Nguyen, Tran-Tien; Pham, Dinh-Luan; Nguyen, Binh-Hau
Journal of Fuzzy Systems and Control Vol. 2 No. 2 (2024): Vol. 2, No. 2, 2024
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v2i2.203

Abstract

Pendubot is a classical system with high nonlinearity used in researching control algorithms. The Pendubot has a single input and multiple outputs (SIMO) and is under-actuated. In this paper, the focus is on studying the application of the Particle Swarm Optimization (PSO) algorithm to find optimal parameters for the LQR controller. The results obtained by the PSO algorithm will be compared when running with different parameters. Evaluations of the performance when applying the PSO algorithm to find optimal parameters will be drawn based on simulation results in Matlab/Simulink and experimental outcomes with various scenarios.
Implementation of Fuzzy-PID Controller for 2-DOF Helicopter Huynh, Thanh-Do; Bach, Ngoc-Thanh; Le, Quang-Dao; Le, Duong-Dong; Bui, Viet-Hoang; Vo, Hoai-An; Nguyen, Viet-Nhat-Long; Pham, Phi-Hung; Nguyen, Huu-Dat; Nguyen, Van-Dong-Hai
Journal of Fuzzy Systems and Control Vol. 2 No. 2 (2024): Vol. 2, No. 2, 2024
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v2i2.204

Abstract

This article presents the model and control of a 2-DOF helicopter, a multi-input multi-output (MIMO) system that is set up in the laboratory. The conventional mathematical model, employing the Euler-Lagrange method, is utilized in this study to conduct the system modeling process. The transfer functions derived from this model are then incorporated into diverse control methodologies to optimize PID gain coefficients. The PID controllers are employed to control this system. In addition, we use a Fuzzy controller to adjust the Kp, Ki, and Kd coefficients of this PID. As a result, we obtain a fuzzy PID controller with superior control quality than a PID controller. Under Fuzzy-PID, the system operates more stably, overcoming some weaknesses of the PID linear controller. The state space model is built by considering specific design assumptions and simplifications. Results are obtained through simulation and testing on the model.
Wind Power Generation for Isolated Loads with IoT-based Smart Load Controller Chatterjee, Arunava
Journal of Fuzzy Systems and Control Vol. 2 No. 2 (2024): Vol. 2, No. 2, 2024
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v2i2.210

Abstract

This study presents an investigation of combining a microgrid structure for the generation of power with a wind energy conversion system. The chief purpose of the study is to provide a smart controller for such a hybrid system with a dump load for controlling the generated voltage. The smart load controller is used which is unique and it is controlled using Internet-of-Things (IoT) for easier and flexible control. Only the dump load is controlled using the IoT-based controller in a way to keeps the bus voltage at a steady value. With the proposed control, the load voltage regulation becomes better with reduced transients. The generation system can be modeled and installed in any isolated place with optimized use of renewable sources with stable power output. Simulations and experimental observations on a laboratory setup for load control authenticate the proposed method.
A Survey of Experimental LQR for Cart and Pole Hoang, Dai-Phuc; Nguyen, Hoang-An; Pham, Quang-Sang; Pham, Huu-Chi; Huynh, Minh-Son; Phan, Duy-Phong; Truong, Nhut-Thanh; Nguyen, Dinh-Phat; Nguyen, Tran-Tu-Uyen; Nguyen, Hai-Thanh
Journal of Fuzzy Systems and Control Vol. 2 No. 2 (2024): Vol. 2, No. 2, 2024
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v2i2.211

Abstract

This study explores using an LQR control for a balancing model of the inverted pendulum (IP) on a cart and pole system at the equilibrium point. The approach starts by deriving the system's motion equations by Lagrangian method. Moreover, real-world experiments are conducted to validate the proposed control strategy, demonstrating its practical applicability and robustness specifically in the context of stabilizing IP systems on carts. Thence, this model can be a standard training model for laboratory in control theory.
LQR Control for Experimental Double Rotary Inverted Pendulum Tran, Nhat-Cuong; Nguyen, Van-Dong-Hai; Le, Chi-Thanh; Lai, Anh-Hai; Nguyen, Trong-Phung; Huynh, Minh-Tuan; Phan, Viet-Thanh; Tong, Gia-Dat; Nguyen, Le-Thanh-Dat; Ngo, Trinh-Anh-Tuan
Journal of Fuzzy Systems and Control Vol. 2 No. 2 (2024): Vol. 2, No. 2, 2024
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v2i2.212

Abstract

LQR control and rotary inverted pendulum (RIP) are already a classic and typical category in the field of automatic control algorithms. From the experience of a 1-order system, we study and apply the LQR algorithm to the 2-step system (DRIP – Double Rotary Inverted Pendulum). In this study, the authors will present kinematic equations of the DRIP system, the method of building an LQR controller for the system in the balance position of bar 1 upwards bar 2 downwards (the first pendulum balances at 0, the second pendulum balances at 180) and build a practical model to investigate the stability of the system. Our method is proven to balance one link well and anti-fluctuation another link well for this model through both simulation and experiment.
Comparative Data Resample to Predict Subscription Services Attrition Using Tree-based Ensembles Okpor, Margaret Dumebi; Aghware, Fidelis Obukohwo; Akazue, Maureen Ifeanyi; Ojugo, Arnold Adimabua; Emordi, Frances Uche; Odiakaose, Christopher Chukwufunaya; Ako, Rita Erhovwo; Geteloma, Victor Ochuko; Binitie, Amaka Patience; Ejeh, Patrick Ogholuwarami
Journal of Fuzzy Systems and Control Vol. 2 No. 2 (2024): Vol. 2, No. 2, 2024
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v2i2.213

Abstract

The digital market today, is rippled with a variety of goods/services that promote monetization and asset exchange with clients constantly seeking improved alternatives at lowered cost to meet their value demands. From item upgrades to their replacement, businesses are poised with retention strategies to help curb the challenge of customer attrition. Such strategies include the upgrade of goods and services at lesser cost and targeted improved value chains to meet client needs. These are found to improve client retention and better monetization. The study predicts customer churn via tree-based ensembles with data resampling such as the random-under-sample, synthetic minority oversample (SMOTE), and SMOTE-edited nearest neighbor (SMOTEEN). We chose three (3) tree-based ensembles namely: (a) decision tree, (b) random forest, and (c) extreme gradient boosting – to ensure we have single and ensemble classifier(s) to assess how well bagging and boosting modes perform on consumer churn prediction. With chi-square feature selection mode, the Decision tree model yields an accuracy of 0.9973, F1 of 0.9898, a precision of 0.9457, and a recall of 0.9698 respectively; while Random Forest yields an accuracy of 0.9973, F1 of 0.9898, precision 0.9457, and recall 0.9698 respectively. The XGBoost outperformed both Decision tree and Random Forest classifiers with an accuracy of 0.9984, F1 of 0.9945, Precision of 0.9616, and recall of 0.9890 respectively – which is attributed to its use of hyper-parameter tuning on its trees. We also note that SMOTEEN data balancing outperforms other data augment schemes with retention of a 30-day moratorium period for our adoption of the recency-frequency-monetization to improve monetization and keep business managers ahead of the consumer attrition curve.
ANFIS-based LQR Control for Rotary Double Parallel Inverted Pendulum Nguyen, Chi-Hung; Tran, Van-Si; Nguyen, Xuan-Hoang; Truong, Quang-Bao; Nguyen, Minh-Tuan; Luong, Nguyen-Phat; Ngo, Kha-Vy; Nguyen, Duc-Huy; Nguyen, Thanh-Trung; Le, Thi-Thanh-Hoang
Journal of Fuzzy Systems and Control Vol. 2 No. 2 (2024): Vol. 2, No. 2, 2024
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v2i2.214

Abstract

This article explores two methodologies: Linear Quadratic Regulation (LQR) and the application of the Adaptive Neuro-Fuzzy Inference System (ANFIS) on the Rotary Double Inverted Pendulum in Parallel Type (PRDIP) model. This model belongs to a class of underactuated robots, representing a nonlinear system with a mechanically simplistic configuration yet exhibiting considerable nonlinearity. Therefore, ANFIS is utilized to learn the input-output data, responses, and feedback of LQR. The response of the system's output to both LQR and ANFIS is compared to demonstrate the effectiveness of ANFIS in learning from the principles of LQR. This demonstration is supported through three cases: one simulation case and two experimental cases. Both control strategies are applied to the PRDIP system at the zero and -π positions, where one pendulum remains upright, and the other descends to counteract oscillations. The study presents simulation and experimental results to evaluate the points above comprehensively.
A Study of In2O3 Nano Particles for Gas Sensor Application Halbos, Raghad J.; Al-Algawi, Sariya; Rasheed, Rashed T.; Hassan, Ruqia Abdulhussien; Mahdi, Raghad R.; Azeez, Hasanain; Fayad, M. A.
Journal of Fuzzy Systems and Control Vol. 2 No. 3 (2024): Vol. 2, No. 3, 2024
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v2i3.217

Abstract

In this research, the sol-gel technique was used to prepare indium oxide nanoparticles. In addition, these particles are deposited by (dip coating technique) on a quartz substrate. Several measurement instruments (FTIR, SEM, UV-visible, and X-RAY diffraction) were used in this study to diagnose and analyze the properties of indium oxide (In2O3) particles at different parameters. The results from XRD indicated that the particle formation converted to a polycrystalline phase at different annealing temperatures (200 ℃ and 600 ℃) for an hour and a half. Also, the XRD results show an increase in the (grain size and lattice constant) with increased annealing temperature. The measurements of the Hall Effect showed the type of conductivity of (In2O3) particles is N-type, carrier concentration, mobility, and resistivity. The results of the sensitivity of indium oxide thin films to toxic gas, specifically carbon monoxide (CO) gas, showed an increase in the sensitivity of thin films annealed at high temperatures.
Characterization of Tensile Strength and Degradation of Polymer Blend Reinforced with Black Carbone Hafad, Sanaa A.; Hussin, Shemaa A.; Hmood, Abdalkalaq F.; Mahdi, Raghad R.; Shneen, Salam Waley
Journal of Fuzzy Systems and Control Vol. 2 No. 3 (2024): Vol. 2, No. 3, 2024
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v2i3.218

Abstract

Samples of polymeric sheets of high-specification polycarbonate, which is characterized by high resistance in its pure form, were prepared and combined with low-density polyethylene sheets, which show low specifications relative to polycarbonate in equal proportions of (PC-%LDPE) (100%,80% 50%,20%). The preparation of the layered polymer mixtures was carried out using the micro-mixing method using an extruder. The effect of the binary polymer blends (PC-%LDPE) was demonstrated in increasing the maximum strength, and the effectiveness of advanced mechanical properties. The degradation of polymeric sets had little effect with the reinforcement of 20% of black carbon powder compared to other ratios.

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