Article
Automation & Control Systems
Van Trung Nguyen, Chunhua Yang, Chenglong Du, Liqing Liao
Summary: This paper addresses the problem of fuzzy overhead crane system modelling and finite-time stability/boundedness using sliding mode control method. The fuzzy technique is employed to linearize the system and a fuzzy model with appropriate membership functions is established. The sliding mode control method is utilized to stabilize the system and handle external disturbances. Finite-time stability/boundedness is introduced to achieve system stability within a specified finite time.
Article
Computer Science, Information Systems
Hung Van Pham, Quoc-Dong Hoang, Minh Van Pham, Dung Manh Do, Nha Hoang Phi, Duy Hoang, Hai Xuan Le, Thai Dinh Kim, Linh Nguyen
Summary: This paper proposes a new approach for efficiently controlling a 6 DoF three-dimensional overhead crane. The approach utilizes hierarchical sliding mode control and fuzzy inference rule mechanism to adaptively estimate and infer unknown and uncertain parameters, resulting in efficient crane operations in real time.
Article
Automation & Control Systems
Charles Aguiar, Daniel Leite, Daniel Pereira, Goran Andonovski, Igor Skrjanc
Summary: This study presents a novel approach using fuzzy models and controllers to address key dynamics issues in crane systems, ensuring system stability and performance through the construction of an LMI feasibility problem. The method proves to be more effective than optimal quadratic controllers and can smoothly and safely move cargo to the destination.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Article
Engineering, Manufacturing
Qianqian Zhang, Bo Fan, Lei Wang, Zhiming Liao
Summary: This paper proposes a novel positioning and anti-swing controller based on fuzzy sliding mode for an overhead crane. The trolley displacement and load swing angle are integrated into the same sliding mode surface to deal with the underactuated characteristics of the overhead crane. The introduced fuzzy rules adjust the control quantity to ensure the system state remains on this surface, improving the control system's robustness to parameter changes and external disturbances.
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING
(2023)
Article
Mathematics
Yassine Bouteraa, Khalid A. Alattas, Obaid Alshammari, Sondess Ben Aoun, Mohamed Amin Regaieg, Saleh Mobayen
Summary: The remarkable features of hybrid SMC assisted with fuzzy systems supplying parameters of the controller have led to significant success of these control approaches, especially in the control of multi-input and multi-output nonlinear systems. The development of type-1 fuzzy systems to type-2 fuzzy systems has improved the performance of fuzzy systems due to the ability to model uncertainties in the expression of expert knowledge. The paper proposes a basic approach of designing and implementing interval type-2 fuzzy sliding mode control for improved performance.
Article
Engineering, Electrical & Electronic
Mario I. Chacon-Murguia, Andrea Rivero-Olivas, Juan A. Ramirez-Quintana
Summary: The method proposed in this paper involves using a fuzzy weighted color histogram neural network to estimate target position and update appearance model, combining shape and color information. Through online dynamic training and correction stages, the accuracy and stability of target tracking are improved.
SIGNAL IMAGE AND VIDEO PROCESSING
(2021)
Article
Automation & Control Systems
Abdulhamit Nurettin, Nihat Inanc
Summary: In order to improve the speed control performance of a three-phase induction motor controlled by the vector control strategy, a new design of a hybrid controller (HC) based on the supertwisting algorithm (STA) and fuzzy approach is proposed. The HC includes a fuzzy logic control approach to online self-tune the control gains and a supertwisting sliding mode load disturbance observer to estimate the load torque disturbances. The proposed scheme is validated to be superior to advanced and traditional controllers in simulation and experimental studies.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Computer Science, Artificial Intelligence
Abdulhamit Nurettin, Nihat Inanc
Summary: This paper proposes a hybrid fuzzy super-twisting sliding mode controller for the control of a three-phase induction motor. By combining super-twisting sliding mode control with fuzzy logic control, the controller achieves high dynamic performance, maximum robustness, and reduced chattering phenomena.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Multidisciplinary Sciences
Cristian Napole, Mohamed Derbeli, Oscar Barambones
Summary: This article compares the application of a robust controller and a fuzzy logic strategy on a commercial PEMFC, and evaluates their advantages and disadvantages in terms of chattering reduction, accuracy, and convergence speed through experimental testing.
Article
Computer Science, Information Systems
Jian Zhang, Wen-Jie Wu, Wen-Bo Xie, Chen Peng
Summary: This paper investigates an integral sliding mode control method for uncertain Takagi-Sugeno fuzzy systems, proposing a dimensional-varying controller considering the time-varying property of the fuzzy system control matrix. Through a membership function piecewise linearization technique, the gain matrices of equivalent control law are derived, and a dimension switching sliding mode control scheme is designed to close the control loop.
INFORMATION SCIENCES
(2021)
Article
Mathematics
Carlos Andres Ramos-Paja, Oscar Danilo Montoya, Luis Fernando Grisales-Norena
Summary: This paper proposes a sliding-mode controller for ensuring the global stability and maximum power generation of a photovoltaic system. The controller utilizes an adaptive sliding-surface to impose a constant frequency to the switching converter, simplifying the selection of device elements. The stability of the controller is analyzed, ensuring the stability of the PV system. Finally, the performance of the solution is verified through detailed circuit simulations.
Article
Automation & Control Systems
Hai Xuan Le, Thai Dinh Kim, Quoc-Dong Hoang, Minh Van Pham, Thien Van Nguyen, Hung Van Pham, Dung Manh Do
Summary: In this paper, a novel overhead crane model is developed to consider the effect of axial payload oscillation on the system's performance. An adaptive fuzzy backstepping hierarchical sliding mode controller is designed to ensure precise movements and reduce vibrations of the payload. The controller's parameters are adjusted online using a fuzzy logic system. Simulation results show the effectiveness of the proposed method in achieving motion precision and minimizing load swings and axial oscillation.
INTERNATIONAL JOURNAL OF DYNAMICS AND CONTROL
(2022)
Article
Automation & Control Systems
Lei Wang, Keqi Mei, Shihong Ding
Summary: This paper addresses the design of a fixed-time controller for second-order sliding mode dynamics with asymmetric output constraints. By constructing a barrier Lyapunov function and adding a power integrator, a fixed-time SOSM controller is developed to handle the asymmetric output constraint issue, ensuring the sliding variable converges to the origin within a fixed time and the system output never violates the asymmetric constrained area boundary. Two examples are provided to verify the effectiveness and feasibility of the proposed scheme.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Article
Computer Science, Information Systems
Xinbiao Gao, Zhong Ding, Shaojie Shi, Jun Zhou, Panling Huang, Haibin Zheng, Chuang Wang
Summary: This paper proposes an automated tunnel inspection system that uses a robotic arm, laser sensors, and an inspection radar to free inspectors from hazardous environments. Through the design and optimization of a mathematical model and sliding mode controller, the system can automatically inspect tunnels with improved tracking accuracy and stability compared to traditional algorithms.
Article
Computer Science, Artificial Intelligence
Tianlei Wang, Jing Zhou, Qimei Zhang, Chengmin Lin, Yanyang Liang
Summary: To improve the robustness of overhead crane controllers and enable a smooth startup, an adaptive time-varying sliding mode controller optimized via an improved honey badger algorithm (IHBA-ATSMC) is proposed. Unlike conventional methods, the ATSMC ensures a smooth increase in control force for a smooth start without requiring precise system information. The improved honey Badger algorithm is used to obtain controller parameters with good performance, achieving parameter optimization in limited time. Simulation and experimental results demonstrate the outstanding performance of IHBA-ATSMC in anti-swing positioning, smooth startup, robustness enhancement, and parameter tuning.
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
(2023)
