Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Journal of Fuzzy Systems and Control (JFSC)
Nguyen, Tuan-Anh
Unknown Affiliation
Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Application of Genetic Algorithm for Optimizing Continuous and Discrete PID to Control Antenna Azimuth Position Nguyen, Binh-Hau; Cao, Hoang-Thanh-Tuan; Nguyen, Thai-Toan; Pham, Minh-Duc; Pham, Van-Thuan-Em; Nguyen, Tuan-Anh; Ho, Van-Nguyen; Ngo, Gia-Dat; Tran, Dinh-Nam-Phat; Le, Thanh-Dat; Phan, Cong-Duc-Quyen; Le, Van-Khai; Le, ThiHongLam
Journal of Fuzzy Systems and Control Vol. 2 No. 1 (2024): Vol. 2, No. 1, 2024
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v2i1.154

Abstract

In the paper, we introduce a continuous and discrete PID optimization method by using genetic algorithm (GA) to analyze and control antenna position – a typical model in control engineering. From analizing kinematic equations of this model, we propose continuous and discrete PID controllers to stabilize it. The control result in the case of the empirically selected K matrix (Kp, Ki, Kd) is compared to the case of the K matrix optimized by GA. From this, we can compare the system's output response with the above continuous and discrete PID controllers. The results show that continuously and discrete optimized PID controllers by GA are better than PIC controllers from empirical test through simulation.
A Study of Optimized-LQR Control for Rotary Inverted Pendulum by Particle Swarm Optimization Le, Thanh-Tri-Dai; Pham, Thanh-Cong; Bui, Duc-Thanh-Long; Nguyen, Quang-Truong; Vo, Van-Nhat-Truong; Dinh, Quoc-Lap; Tran, Le-Hieu; Truong, Thien-Bao; Nguyen, Tan-Loc; Nguyen, Duy-Tan; Nguyen, Tuan-Anh; Nguyen, Viet-Anh; Le, Thi-Thanh-Hoang
Journal of Fuzzy Systems and Control Vol. 3 No. 2 (2025): Vol. 3, No. 2, 2025
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v3i2.301

Abstract

Rotary Inverted Pendulum (RIP) is a classical but effective model in testing control algorithms. Besides designing controllers, it can also be a model for testing the evolution algorithms (EAs) in optimizing control parameters. In this paper, we apply particle swarm optimization (PSO), which is an EA, to optimize the parameters of the LQR controller for this model. In the study, an experimental model in which system parameters are already measured and identified in former studies is used. The LQR control method is inherited from former results, and the weighing matrices (Q and R) are optimized by the PSO method. In each case, the control matrix K is obtained from Q and R to apply for RIP. Through both simulation and experiment, LQR control parameters are found better through generations by using PSO. The responses of RIP, in which controllers are designed under optimized Q and R in later generations, are better in quality, and values of the fitness function also supports that opinion. Thence, through this study, beside genetic algorithm (GA), this study proves that PSO is a suitable searching algorithm that can be applied for balancing this single input- multi output (SIMO) system. Also, the experimental platform of RIP in this research confirms its ability to control tests.
Co-Authors Bui, Duc-Thanh-Long Cao, Hoang-Thanh-Tuan Dinh, Quoc-Lap Ho, Van-Nguyen Le, Thanh-Dat Le, Thanh-Tri-Dai Le, Thi-Thanh-Hoang Le, ThiHongLam Le, Van-Khai Ngo, Gia-Dat Nguyen, Binh-Hau Nguyen, Duy-Tan Nguyen, Quang-Truong Nguyen, Tan-Loc Nguyen, Thai-Toan Nguyen, Viet-Anh Pham, Minh-Duc Pham, Thanh-Cong Pham, Van-Thuan-Em Phan, Cong-Duc-Quyen Tran, Dinh-Nam-Phat Tran, Le-Hieu Truong, Thien-Bao Vo, Van-Nhat-Truong