Article
Computer Science, Artificial Intelligence
Zhensheng Huang, Xiaoyong Liu, Hui Fu, Zhiguo Du
Summary: The fuzzy PID-FDE method proposed in this study optimizes the parameters of the hydraulic turbine regulating system, resulting in smoother and more stable response to step signals with less overshoot and faster response speed. Simulation results also demonstrate the faster search speed of the FDE method compared to other methods, contributing to the theory and practice of parameter optimization for steam turbine governing systems.
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION
(2021)
Article
Automation & Control Systems
Mustafa Wassef Hasan, Nizar Hadi Abbas
Summary: This paper proposes an adaptive fuzzy with a nonlinear PID (AFNLPID) controller to address and eliminate disturbances caused by ocean currents and unknown uncertainties in underwater robotic vehicle (URV) dynamics. The AFNLPID controller estimates the unknown dynamics parameters of the URV and unknown disturbances. Two types of disturbances, deepwater wave disturbances and near-surface shallow water wave disturbances, are presented. The performance of the AFNLPID controller is evaluated by comparing it with other controllers, such as adaptive fuzzy PID (AFPID, AFPID2) controllers, conventional PID controllers, and nonlinear fractional-order PID (NLFOPID) controllers.
Article
Computer Science, Artificial Intelligence
K. Jagatheesan, D. Boopathi, Sourav Samanta, B. Anand, Nilanjan Dey
Summary: This research article utilizes grey wolf optimization (GWO) technique to optimize PID controller in three-area grid-connected power networks, and validates its effectiveness and robustness through comparison with other tuning methods.
Article
Energy & Fuels
Weiqiang Wu, Guofang Gong, Yuxi Chen, Xinghai Zhou
Summary: The thrust system of the tunnel boring machine (TBM) is crucial for its stability and performance. This study introduces a self-tuning fuzzy PID controller to improve the control characteristics of the thrust system. Experimental results demonstrate that the system with the fuzzy PID controller achieves better stability and regulation performance.
Article
Engineering, Electrical & Electronic
Chien-Jung Chen, Kuo-Tsai Wu, Sheng-Jye Hwang
Summary: This study designs an experimental system to simulate two controlling stages in the injection molding process. The use of a servo-hydraulic system provides better control and stable packing pressure.
MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS
(2021)
Article
Automation & Control Systems
MyoungHo Kim, Sung-Uk Lee
Summary: The PID with a switching action (PIDSA) controller proposed in the study combines the simplicity of PID and the robustness of sliding mode control (SMC) to enhance the control performance of nonlinear systems. The addition of a double integral sliding surface (DISS) further improves the performance compared to using an integral sliding surface, as demonstrated in experiments on a hydraulic manipulator.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Mariem Y. Yousef, Magdi A. Mosa, A. A. Ali, A. M. Abdel Ghany, M. A. Abdel Ghany
Summary: Due to the reliance on electricity by various sectors, a reliable and cost-effective generation system with regulated frequency is crucial. Load frequency control (LFC) ensures frequency regulation within permissible limits. The PID controller has been effective due to its simplicity, but it may perform poorly with changing conditions. This article proposes a polytope representation of the system and designs optimal PID controllers at its vertices, which are blended using a fuzzy controller. The system's stability under parameter variation is ensured using linear matrix inequalities. By employing a transformation technique, the control system is represented with a minimal number of vertices. The proposed control outperforms fixed optimal PID and fixed gain robust PID controllers in terms of response.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Construction & Building Technology
Hao Feng, Wei Ma, Chenbo Yin, Donghui Cao
Summary: This study introduces an improved PSO algorithm for optimizing PID controller coefficients, achieving higher trajectory tracking accuracy and faster convergence by incorporating nonlinear adaptive methods and elite mutation strategies.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Agronomy
Kazem Shahverdi
Summary: This research developed a coupled simulator-controller/optimizer model called Automatic Irrigation Canal Simulation System (AICSS) to control irrigation conveyance system simulation (ICSS). The model allows real-time modeling of canals, mathematical and statistical experiments, as well as calibration. Using FORTRAN submodels written in MATLAB, orders received from MATLAB can be automatically guided in ICSS. The application of AICSS was evaluated using proportional-integral derivative (PID) controller in Dez and Aghili East canals, resulting in successful simulation and control of the canals with low water depth errors.
IRRIGATION AND DRAINAGE
(2023)
Article
Computer Science, Interdisciplinary Applications
Anikesh Kumar, Min-Sen Chiu
Summary: Inverse response is a characteristic exhibited by various industrial processes, which imposes limitations on the control performance of conventional feedback control systems. To address these limitations, this study proposes a data-based method for discrete-time predictive controller design using Virtual Reference Feedback Tuning (VRFT) design method to compensate for the effects of inverse response.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
Article
Energy & Fuels
Mohamed Naji Muftah, Ahmad Athif Mohd Faudzi, Shafishuhaza Sahlan, Mokhtar Shouran
Summary: This research aims to reduce the overshoot in the response of a pneumatic actuator by using a fuzzy FOPID controller and PSO algorithm. A comparison study shows the superiority of this method in terms of dynamic performance.
Article
Energy & Fuels
Sasmita Padhy, Sidhartha Panda
Summary: The study introduces a Simplified Grey Wolf Optimizer (SGWO) for optimization tasks, demonstrating its superior performance over the original Grey Wolf Optimizer (GWO) in terms of solution quality and execution time. By designing an Adaptive Fuzzy PID controller using SGWO in a Distributed Power Generation System, the study shows the effectiveness of SGWO in optimal controller design tasks.
PROTECTION AND CONTROL OF MODERN POWER SYSTEMS
(2021)
Article
Engineering, Chemical
Ahmed H. Yakout, Kareem M. AboRas, Hossam Kotb, Mohammed Alharbi, Mokhtar Shouran, Bdereddin Abdul Samad
Summary: In this study, a new ultra-local control (ULC) model and two marine predator algorithm (MPA)-based controllers were combined to enhance the frequency response of a hybrid microgrid system. The input scaling factors, boundaries of membership functions, and gains of the fuzzy PIDF controller were optimized using MPA. The alpha parameter of the proposed ULC model was also optimized using MPA to further enhance the frequency response. The performance of the proposed controller was evaluated in different scenarios and compared with previously designed controllers, showing improved frequency response in the hybrid microgrid system.
Article
Energy & Fuels
Md Jahidur Rahman, Tahar Tafticht, Mamadou Lamine Doumbia, Ntumba Marc-Alain Mutombo
Summary: This paper proposes a control algorithm using the power-sharing method for a wind-based energy storage system to maintain the dynamic stability of wind power flow and control of frequency in the power network. By using a battery as a storage system, the transient time of wind power flow and the fluctuation rate of frequency can be significantly reduced, improving system stability.
Article
Computer Science, Information Systems
Sebastian Jendrysik, Daniel Kowol, Piotr Matusiak, Andrzej Dymarek, Krzysztof Kedzia, Bartosz Polnik, Marcin Szczygiel, Tomasz Trawinski, Mariusz Starak
Summary: The paper presents a fuzzy controller for the bottom product collecting system of the pulsating jig. The research aims to design and adapt the fuzzy controller to ensure the correct operation of the jig with appropriate control properties in all compartments. The results of industrial tests analyzing selected indicators of regulation quality are presented, along with a comparative analysis of the tested fuzzy controller and the classic PID controller.
Article
Energy & Fuels
Upender Rao Koleti, Ashwin Rajan, Chaou Tan, Sanghamitra Moharana, Truong Quang Dinh, James Marco
Article
Energy & Fuels
Naga Kavitha Kommuri, Andrew McGordon, Antony Allen, Dinh Quang Truong
Article
Computer Science, Information Systems
Tri Cuong Do, Duc Thien Tran, Truong Quang Dinh, Kyoung Kwan Ahn
Article
Automation & Control Systems
Syed Abu Nahian, Truong Quang Dinh, Hoang Vu Dao, Kyoung Kwan Ahn
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2020)
Article
Computer Science, Information Systems
Duc Thien Tran, Hoang Vu Dao, Truong Quang Dinh, Kyoung Kwan Ahn
Article
Energy & Fuels
James Jeffs, Truong Quang Dinh, Widanalage Dhammika Widanage, Andrew McGordon, Alessandro Picarelli
Article
Engineering, Civil
Mona Faraji Niri, Truong Quang Dinh, Tung Fai Yu, James Marco, Truong Minh Ngoc Bui
Summary: This article presents a novel approach for long-term State of Available Power (SoAP) prediction by monitoring working conditions for future load prediction, using wavelet analysis and Markov models. The method accurately predicts battery dynamics and separates low and high frequency load demands, addressing future uncertainties.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Automation & Control Systems
Anh-Tu Nguyen, Truong Quang Dinh, Thierry-Marie Guerra, Juntao Pan
Summary: This article introduces a new nonlinear observer design technique to simultaneously estimate important factors in vehicle handling, utilizing a TS fuzzy representation to effectively model vehicle dynamics and handle unmeasured nonlinearities. By using a generalized Luenberger observer structure, decoupling of unknown inputs is achieved without requiring prior information.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2021)
Review
Green & Sustainable Science & Technology
Tri Cuong Do, Tri Dung Dang, Truong Quang Dinh, Kyoung Kwan Ahn
Summary: This study focuses on energy regeneration technologies to reduce energy consumption and pollution in hydraulic excavators, by analyzing potential recoverable energy sources and proposing a new conceptual design. There are promising development opportunities in the field of energy saving systems in the future.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Computer Science, Information Systems
Truong M. N. Bui, Truong Q. Dinh, James Marco, Chris Watts
Summary: Hybridisation of energy sources in marine vessels is seen as a feasible solution to improve fuel economy and achieve global emission reduction targets. The performance of a hybrid vessel system heavily relies on the efficiency of the energy management system (EMS), which regulates power-flow among propulsion sources and the energy storage system (ESS). This study developed a simple, production-feasible and efficient EMS for a dynamic positioning hybrid electric marine vessel (HEMV) and conducted real-time experimental evaluation. The proposed EMS showed up to 4.8% fuel saving per voyage, outperforming conventional control strategies.
Article
Energy & Fuels
Upender Rao Koleti, Truong Ngoc Minh Bui, Truong Quang Dinh, James Marco
Summary: The study introduces two novel fast-charging strategies for lithium-ion batteries to prevent lithium plating, resulting in over 75% extension in battery life with only a marginal increase in charge time compared to the standard CC-CV charging profile.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Naga Kavitha Kommuri, Andrew McGordon, Antony Allen, Dinh Quang Truong
Summary: This paper proposes a novel adaptive equivalent fuel consumption minimisation strategy for hybrid vehicles, which predicts drive cycles and adjusts equivalence factors to improve fuel economy. The results showed significant improvement in fuel savings compared to traditional methods.
Article
Computer Science, Information Systems
Truong M. N. Bui, Muhammad Sheikh, Truong Q. Dinh, Aniruddha Gupta, Dhammika W. Widanalage, James Marco
Summary: Transport electrification is crucial for reducing fossil fuel depletion and carbon dioxide emissions. However, challenges exist in terms of battery costs and expected life. This paper presents a study on reducing Lithium-ion battery degradation through state-of-charge pre-conditioning strategies, allowing electric vehicles to participate in vehicle-to-grid operations. Simulation studies show that the proposed charging strategies can mitigate battery ageing without accelerating degradation.
Proceedings Paper
Engineering, Electrical & Electronic
Mehmet Cagin Kirca, Andrew McGordon, Truong Quang Dinh
2020 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC)
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
Syed Abu Nahian, Andrew McGordon, Dinh Quang Truong, Jong Il Yoon
2020 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC)
(2020)
Article
Automation & Control Systems
Ran Jiao, Wenjie Liu, Ramy Rashad, Jianfeng Li, Mingjie Dong, Stefano Stramigioli
Summary: A novel end-effector bilateral rehabilitation robotic system (EBReRS) is developed for upper limb rehabilitation of patients with hemiplegia, providing simulations of multiple bimanual coordinated training modes, showing potential for application in home rehabilitation.
Article
Automation & Control Systems
Qiaosheng Pan, Yifang Zhang, Xiaozhu Chen, Quan Wang, Qiangxian Huang
Summary: A resonant piezoelectric rotary motor using parallel moving gears mechanism has been proposed and tested, showing high power output and efficiency.
