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All Journal Journal of Fuzzy Systems and Control (JFSC)
Nguyen, Duc-Huy
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Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Journal : Journal of Fuzzy Systems and Control (JFSC)

 1 
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.
Fuzzy Controller from Experts’ Rules for Middle Axis Ball and Beam Nguyen, Minh-Quan; Nguyen, Manh-Cuong; Trinh, Quang-Huy; Nguyen, Trung-Nghia; Ngo, Van-Thiet; Phu, Huynh-Manh-Trien; Nguyen, Pham-Minh-Duc; Nguyen, Phu-Tan; Le, Van-Truong; Dinh, Le-Hai-Duong; Dam, Thuan-An; Nguyen, Duc-Huy; Nguyen, Van-Dong-Hai
Journal of Fuzzy Systems and Control Vol. 1 No. 3 (2023): Vol. 1, No. 3, 2023
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v1i3.94

Abstract

The present study examined the nonlinear system of Ball and Beam, to design an intelligent controller for this dynamic system. The authors formulated a mathematical model for the system and performed simulation testing using MATLAB to control it. It is noteworthy that the mathematical model was exclusively used for simulation purposes and not for building the controller. The author's team then proceeded to develop a Fuzzy Controller for the simulation model of the Ball and Beam system. Subsequently, the team tested the Fuzzy controller on the actual Ball and Beam model. The primary objective of this study was to assess the feasibility of building and controlling an intelligent controller for a nonlinear object, without relying on its mathematical model. The findings of the study can be useful in designing and controlling complex systems that are difficult to model mathematically.
Co-Authors Dam, Thuan-An Dinh, Le-Hai-Duong Le, Thi-Thanh-Hoang Le, Van-Truong Luong, Nguyen-Phat Ngo, Kha-Vy Ngo, Van-Thiet Nguyen, Chi-Hung Nguyen, Manh-Cuong Nguyen, Minh-Quan Nguyen, Minh-Tuan Nguyen, Pham-Minh-Duc Nguyen, Phu-Tan Nguyen, Thanh-Trung Nguyen, Trung-Nghia Nguyen, Van-Dong-Hai Nguyen, Xuan-Hoang Phu, Huynh-Manh-Trien Tran, Van-Si Trinh, Quang-Huy Truong, Quang-Bao