Article
Automation & Control Systems
Quang Hieu Ngo, Ngo Phong Nguyen, Quoc Bao Truong, Gyoung-Hahn Kim
Summary: This paper addresses the fuzzy moving sliding surface anti-sway control problem for container cranes and proposes a coupled sliding surface and continuous sliding mode control law to ensure stability and efficiency of the system.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2021)
Article
Engineering, Marine
Mohammad Saghafi Zanjani, Saleh Mobayen
Summary: This paper proposes an event-triggered global sliding mode based anti-sway control for offshore container cranes to ensure the tracking performance of containers while saving transmission resources. A suitable sliding manifold is formulated and a global sliding mode control is synthesized to maintain stability of the system and ensure robustness against disturbances. An event-triggered strategy is used to minimize communication resources and execution time. The proposed approach eliminates the reaching phase, overcomes disturbances, optimizes resources, and removes the Zeno phenomenon.
Article
Engineering, Mechanical
Iain A. Martin, Rishad A. Irani
Summary: A trajectory modification strategy is proposed for shipboard cranes to reduce payload sway, with successful implementation using PID and SMC controllers, especially in highly nonlinear dynamics. The results indicate that trajectory modification is highly effective at dampening payload sway for shipboard cranes, particularly when using a suitable controller to accurately track the modified trajectory.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Engineering, Mechanical
Zheng Tian, Lili Yu, Huimin Ouyang, Guangming Zhang
Summary: A method based on robust adaptive sliding mode control is proposed to design controllers for tower cranes, which effectively solves the problem of payload oscillation and online estimates unknown payload mass. Various and strict simulations have validated the effectiveness and extreme robustness of the proposed method.
NONLINEAR DYNAMICS
(2021)
Article
Acoustics
Lobna T. Aboserre, Ayman A. El-Badawy
Summary: In this study, an integral sliding mode control approach is proposed for tower cranes to ensure precise position tracking and reduce payload oscillations. The nonlinear robust controller is designed based on a high fidelity nonlinear dynamical model to reduce model uncertainties and control effort demand. Experimental results show the effectiveness and robustness of the proposed control approach compared to conventional sliding mode control against real system uncertainties.
JOURNAL OF VIBRATION AND CONTROL
(2021)
Article
Engineering, Mechanical
Le Van Duong, Le Anh Tuan
Summary: This study focuses on the complex control problem of telescopic truck cranes. A dynamic model and controllers are developed, and their effectiveness is validated through simulation results on a Grove-TMS500 truck crane. The controllers effectively eliminate oscillations caused by elastic components and provide robustness against wind and parameter uncertainties.
MECHANISM AND MACHINE THEORY
(2022)
Article
Engineering, Mechanical
Xiaodong Miao, Bingqing Zhao, Lei Wang, Huimin Ouyang
Summary: Traditional positioning and anti-sway of overhead cranes mainly rely on operator experience, leading to low efficiency and poor security. To address these issues, a fuzzy adaptive nonlinear controller has been designed, showing better performance and robustness in experimental comparisons.
NONLINEAR DYNAMICS
(2022)
Article
Engineering, Multidisciplinary
Hoang Manh Cuong, Le Anh Tuan
Summary: In this study, a three-dimensional dynamic model was developed for rubber-tyred gantry cranes, considering the distributed mass and bending deformation of the gantry. Two robust controllers were proposed for controlling the crane, which effectively tracked and stabilized all outputs, and achieved robustness in the presence of uncertainties.
APPLIED MATHEMATICAL MODELLING
(2023)
Article
Engineering, Mechanical
Hoang Manh Cuong, Hoang Quoc Dong, Pham Van Trieu, Le Anh Tuan
Summary: This study presents an adaptive robust control system for rubber-tired gantry (RTG) cranes using fractional calculus combined with sliding mode control to deal with parametric variations and unknown wind disturbances. Simulation and experiment results demonstrate the superiority of the proposed control system in tracking actuated states and stabilizing unactuated states, despite uncertainties and disturbances.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Automation & Control Systems
Zhuoqing Liu, Ning Sun, Yiming Wu, Xin Xin, Yongchun Fang
Summary: This paper proposes a nonlinear sliding mode tracking controller for tower cranes, which can achieve satisfactory tracking performance and effective swing suppression. The system closed loop stability is theoretically proven through rigorous analysis. The controller is effective and exhibits satisfactory robustness in hardware experiments.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2021)
Article
Automation & Control Systems
Xiutao Gu, Hui Zhou, Mengqing Hong, Song Ye, Yu Guo
Summary: A finite time disturbance observer (FTDO) based adaptive hierarchical sliding mode control (AHSMC) is proposed for tower crane systems with unknown disturbances. The FTDO is used to estimate both matched and unmatched disturbances, and a novel nonsingular fast terminal sliding mode (FTSM) surfaces is designed to improve system convergence. An AHSMC law is presented to ensure stability and control of the tower crane system. Simulation results demonstrate the effectiveness of the proposed strategy.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2022)
Article
Automation & Control Systems
Xinya Yao, He Chen, Yang Liu, Yan Dong
Summary: In this paper, an effective tracking approach for double pendulum cranes is designed using sliding mode technique to improve robustness and achieve accurate tracking objectives while suppressing double pendulum swing. The approach includes a proper sliding mode surface to suppress swing angles, as well as a time delay estimator technique to handle parameter uncertainty-related terms. The effectiveness of the approach is rigorously proved by Lyapunov stability theory, and comprehensive simulations are implemented to demonstrate its performance.
Article
Engineering, Multidisciplinary
Le Anh Tuan, Le Van Duong
Summary: A telescopic boom crane is a strictly underactuated system that requires an intelligent robust control system to effectively manage its motion and vibrations, considering its complex model.
APPLIED MATHEMATICAL MODELLING
(2022)
Article
Materials Science, Multidisciplinary
Xiong Hu, Kai Dong, Pei Zheng, Zhiwei Sun, Sen Mu
Summary: This paper analyzes the response mechanism of the metallic structure of the quay crane induced by trolley traveling and conducts on-site tests. The results indicate that trolley traveling can cause high-frequency impacts and significant effects on the vertical displacement of the crane structure.
ADVANCES IN MATERIALS SCIENCE AND ENGINEERING
(2022)
Article
Automation & Control Systems
Ida-Louise G. Borlaug, Kristin Y. Pettersen, Jan Tommy Gravdahl
Summary: In this article, a novel adaptive generalized super-twisting algorithm (GSTA) is proposed for controlling a class of systems whose perturbations and uncertain control coefficients depend on both time and state. The proposed approach uses dynamically adapted control gains and ensures global finite-time convergence. A simulation and experimental case study using an articulated intervention autonomous underwater vehicle (AIAUV) validates that the adaptive GSTA can effectively control the AIAUV and improve tracking capabilities.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Gyoung-Hahn Kim, Phuong-Tung Pham, Quang Hieu Ngo, Quoc Chi Nguyen
Summary: A neural network-based robust anti-sway control method is proposed for a crane system transporting an underwater object. By embedding estimators in the system to compensate for uncertainties and unmodeled dynamics, the control performance against uncertainties is improved and chattering phenomena are reduced.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Nghia Nguyen-Huu, Jaromir Pistora, Michael Cada, Trung Nguyen-Thoi, Youqiao Ma, Kiyotoshi Yasumoto, B. M. Azizur Rahman, Qiang Wu, Yuan Ma, Quang Hieu Ngo, Lin Jie, Hiroshi Maeda
Summary: Graphene has shown great potential in applications such as ultrafast photodetectors and transistors, with metallic deep gratings enhancing its absorptance up to 80% in the near infrared region. Utilizing a compound metallic grating structure can further enhance graphene's absorptance to 98% and expand its spectral bandwidth to 0.6 μm, demonstrating high design potential for optical and optoelectronic devices based on graphene.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2021)
Article
Automation & Control Systems
Quang Hieu Ngo, Ngo Phong Nguyen, Quoc Bao Truong, Gyoung-Hahn Kim
Summary: This paper addresses the fuzzy moving sliding surface anti-sway control problem for container cranes and proposes a coupled sliding surface and continuous sliding mode control law to ensure stability and efficiency of the system.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Quoc-Khanh Huynh, Chi-Ngon Nguyen, Hong-Phuc Vo-Nguyen, Phuong Lan Tran-Nguyen, Phan-Hung Le, Dang-Khanh-Linh Le, Van-Cuong Nguyen
Summary: This study developed a method to identify and classify cracked chilli fruits caused by the destemming process, utilizing a convolutional neural network model for high accuracy in both static and working conditions.
JOURNAL OF SENSORS
(2021)
Article
Engineering, Multidisciplinary
Chanh-Nghiem Nguyen, Van-Thoai Vo, Lam-Hong-Ngoc Nguyen, Hua Thai Nhan, Chi-Ngon Nguyen
Summary: This study proposed an innovative technique to measure fish color in situ based on machine vision. A color conversion model was developed and trained with images to achieve low color errors, demonstrating high potential for practical applications.
Article
Engineering, Multidisciplinary
Thanh Tung Pham, Chi-Ngon Nguyen
Summary: This paper presents an adaptive fuzzy proportional integral sliding mode control (AFPISMC) for the two-tank interacting system (TTIS). The proposed controller combines sliding mode control with a proportional integral sliding surface and a fuzzy inference system to handle the liquid level problem in the TTIS. Simulation results show that the proposed controller outperforms other control methods in terms of performance.
JOURNAL OF ENGINEERING AND TECHNOLOGICAL SCIENCES
(2022)
Article
Optics
Hoang-Dang Le, Chia-Chin Chiang, Chi-Ngon Nguyen, Hsiang-Cheng Hsu
Summary: This paper presents a novel short fiber Bragg grating (FBG) accelerometer based on a dual mass block structure. The sensor is established on a solid, symmetrical design comprising a V-type beam. The FBG accelerometer configuration causes the FBG fiber to distort twice as much when subjected to external vibration. Theoretical research and optimization of the sensor's natural frequency and sensitivity are performed using MATLAB software, while static structural stress and modal simulation analysis are examined using ANSYS software. An experimental test is conducted to evaluate the sensor's implementation. The sensor has a natural frequency of 880 Hz, with a flat stability frequency response in the 20-340 Hz low-to-middle frequency range. The average sensitivity shows a linearity of approximately 66.95 pm/g, and the transverse anti-interference of the FBG fiber is around 6.53%. This work proposes a suitable method to observe low-and medium-frequency vibration signals in large-scale applications.
OPTICS AND LASER TECHNOLOGY
(2023)
Article
Optics
Hoang-Dang Le, Chia-Chin Chiang, Chi-Ngon Nguyen, Hsiang-Cheng Hsu
Summary: This study proposes a medium-and high-frequency fiber Bragg grating (FBG) accelerometer based on a circular flexure hinge structure. The sensor's operating theory and theoretical model are established, and the sensor construction, resonance frequency, and sensitivity are optimized using MATLAB software. ANSYS software is used to assess the optimization results and modal analysis. The experimental results show good agreement with the theoretical values. The FBG sensor has a measured resonance frequency of approximately 1700 Hz and an average sensitivity of 23 pm/G. It can measure vibration acceleration across a wide frequency range of 500-1400 Hz. Applications of this vibration sensor include aircraft, missiles, earthquake research, intelligent compaction rollers, airbag deployment systems, and electronic stability control systems in automobiles, which operate at medium and high frequencies.
Article
Engineering, Electrical & Electronic
Thi Thuy-Vy Nguyen, Hoang-Dang Le, Hsiang-Cheng Hsu, Chi-Ngon Nguyen, Chia-Chin Chiang
Summary: This article proposes a novel vibration sensor based on fiber Bragg grating (FBG) technology. The sensor employs a V-shaped flexure hinge structure to enhance sensitivity for vibration sensing. The FBG sensor was evaluated through theoretical computations and simulations, and the experimental results demonstrate its good performance. This study provides an opportunity to apply FBG acceleration sensor in the high-dependability detection of low-and medium-frequency vibration signals.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Hoang-Dang Le, Chia-Chin Chiang, Chi-Ngon Nguyen, Hsiang-Cheng Hsu
Summary: A flexible hinge fiber Bragg grating (FBG) acceleration sensor based on the symmetry mass block is proposed to improve transverse performance and sensitivity in medium- and high-frequency. The sensor's natural frequency and sensitivity are theoretically optimized using MATLAB software, while static structural stress and simulation are analyzed using ANSYS. Experimental tests evaluate the implementation of the sensor. The developed medium and high-frequency vibration data are crucial for health monitoring and evaluation of structures such as bridges, railroads, and tunnels.
OPTICAL FIBER TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Hoang-Dang Le, Chia-Chin Chiang, Chi-Ngon Nguyen, Hsiang-Cheng Hsu
Summary: This study proposes and validates a 2-D low- and medium-frequency fiber Bragg grating (FBG) acceleration sensor. The sensor utilizes a symmetrical circular flexure hinge structure to achieve similar sensitivity in both measuring directions. The arrangement of two FBGs effectively avoids temperature impact and doubles the sensitivity. The sensor's design, resonance frequency, and sensitivity were improved through theoretical research and optimization, which were then validated through simulation and calibration. The sensor is capable of vibration monitoring, machine condition monitoring, and robotics applications.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Agriculture, Multidisciplinary
Van Huu Bui, Huu Cuong Nguyen, Quang Hieu Ngo
Summary: This study demonstrates the real effect of soil compaction on rice yield in the Mekong Delta, Vietnam. Two field experiments were conducted in An Giang Province, showing a positive correlation between soil compaction and rice yield. The study also provides the optimal range of soil compaction for paddy rice cultivation in the Summer-Autumn crop.
ASIAN JOURNAL OF AGRICULTURE AND BIOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Thanh Tung Pham, Chi-Ngon Nguyen
Summary: An adaptive sliding mode control based on fuzzy logic and low pass filter is proposed in this research to address the chattering problem in traditional sliding mode control technique. By using fuzzy inference and low pass filter, the stability of the control system is guaranteed. Simulation results on position tracking control for a two-tank interacting system demonstrate the effectiveness of the proposed algorithm compared to other methods.
INTERNATIONAL JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING SYSTEMS
(2022)
Article
Computer Science, Interdisciplinary Applications
Hoang-Long Cao, Huynh Anh Duy Nguyen, Trong Hieu Luu, Huong Thi Thu Vu, Diep Pham, Van Thi Ngoc Vu, Hoang Hai Le, Duy Xuan Bach Nguyen, Trong Toai Truong, Hoang-Dung Nguyen, Chi-Ngon Nguyen
Summary: This study investigates the use of automation solutions in Vietnam during the first wave of COVID-19. The findings reveal that solutions of different research and development levels were deployed across the country, and higher R&D solutions have opportunities in the reopening phase. However, there are challenges such as limited interdisciplinary research teams, market demand, and social-ethical issues. This study is the first to analyze the use of automation technology in response to COVID-19 in Vietnam and provides valuable lessons for future outbreaks.
INTERNATIONAL JOURNAL OF PERVASIVE COMPUTING AND COMMUNICATIONS
(2022)
Proceedings Paper
Computer Science, Information Systems
Quoc-Khanh Huynh, Chi-Ngon Nguyen, Hong-Phuc Vo-Nguyen, Hung-Tam Le, Dang-Khanh-Linh Le, Van-Cuong Nguyen
2020 12TH INTERNATIONAL CONFERENCE ON KNOWLEDGE AND SYSTEMS ENGINEERING (IEEE KSE 2020)
(2020)
