Article
Engineering, Multidisciplinary
M. Nidya, S. J. Mija, Jeevamma Jacob
Summary: This paper proposes a feedback linearization-based robust trajectory tracking controller for the elevation and pitch axes of a 3-DOF helicopter. By feedback linearization of the nonlinear model, decoupled linear error dynamics for each axis are achieved for the design of the trajectory tracking controller, demonstrating its efficacy.
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH
(2022)
Article
Computer Science, Artificial Intelligence
Muhammad Taimoor, Xiao Lu, Wasif Shabbir, Chunyang Sheng
Summary: This research proposes the use of neural network observers based on fuzzy auxiliary sliding mode control for fault estimation and isolation of quadrotor unmanned aerial vehicle sensors. By utilizing the multi-layer neural network and adaptive approach, the online learning method shows a significant improvement in accuracy and abruptness compared to conventional methods.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
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
Automation & Control Systems
Pooyan Alinaghi Hosseinabadi, Ali Soltani Sharif Abadi, Howard Schwartz, Hemanshu Pota, Saad Mekhilef
Summary: This paper investigates the fixed-time convergence issue in uncertain nonlinear double integrator systems using a sliding mode observer-based controller. The proposed controller estimates unmeasured states, unknown disturbances, and uncertainties, ensuring fixed-time convergence for trajectory tracking. The stability analysis is established using the Lyapunov theory, and the controller's validity is tested in a simulated example of a robot manipulator. The superiority of this method is demonstrated by comparing it with two other methods from the literature.
ASIAN JOURNAL OF CONTROL
(2023)
Article
Automation & Control Systems
Mohsen Farbood, Zeinab Echreshavi, Mokhtar Shasadeghi, Saleh Mobayen
Summary: This paper proposes an event-triggered integral sliding mode control (ISMC) for perturbed nonlinear Takagi-Sugeno (TS) fuzzy systems. A disturbance observer is designed to estimate and reduce the unmatched disturbances. Two types of sliding surfaces are established to reduce computational burden and communication resources. The proposed control scheme ensures system performance enhancement and Zeno-free behavior.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Automation & Control Systems
Satyanarayan Sadala, Balasaheb Patre, Divyesh Ginoya
Summary: This paper introduces a new continuous integral sliding mode control algorithm to reduce chattering and improve the stability and robustness of the control system.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING
(2022)
Article
Automation & Control Systems
Dong Qu, Wen-Bo Xie, Guan-Qun Chen, Bing Yang, Yan Peng
Summary: This article introduces an observer-controller structure for nonlinear systems with external disturbances, uncertainties, and performance constraints. By utilizing a sliding mode observer, an integral barrier Lyapunov function, an equivalent output injection technique, and backstepping technique, the proposed approach is able to limit the signals and tracking error in the closed-loop system, ensuring stability and performance.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Jiae Yang, Yujia Wang, Fuqin Deng, Tong Wang, Shuai Sui, Xuebo Yang, Yu Liu
Summary: Compared with integral-order calculus, fractional calculus is better at depicting the real process with memory property and history-dependent property. This work investigates a class of nonlinear strict-feedback fractional-order systems and presents a novel control strategy. The unknown drift functions and unmeasurable system states are coped with by designing fuzzy logic systems (FLSs) and a robust fractional-order state observer. The problem of the differential explosion caused by repeated differentiation when employing the backstepping technique is also overcome without additional filters or control mechanisms.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2022)
Article
Engineering, Marine
Miao Yang, Zhibin Sheng, Ge Yin, Haiwen Wang
Summary: A recurrent neural network-based fuzzy sliding mode control method is proposed in this paper for achieving stable movement of a remotely operated vehicle under uncertainty and external disturbance. The method estimates and compensates for the uncertainty of the vehicle model adaptively using offline training of a RNN. It employs a fuzzy logic system as the switching term for sliding mode control to reduce chattering phenomenon and automatically eliminate external disturbance.
Article
Mathematics, Interdisciplinary Applications
Youjun Chen, Songyu Wang
Summary: This work investigates a backstepping controller design for fractional-order strict feedback systems using the neural network control method. Robust terms are designed in the controller to handle estimation errors and ensure stability of the controlled system. The proposed controller has a simple form that can be easily implemented.
Article
Automation & Control Systems
Gandikota Gurumurthy, Dushmanta Kumar Das
Summary: An adaptive super twisting sliding mode controller (ASTSMC) is proposed in this paper for a class of nonlinear systems to counteract mismatched uncertainties, with the introduction of an adaptive terminal sliding mode disturbance observer (ATSMDO) to estimate unknown external disturbances. The stability of the overall closed-loop system is proven using Lyapunov stability theory. A case study on a nonlinear liquid level regulation problem is conducted to validate the proposed controller, showing its effectiveness in alleviating chattering problems compared to traditional adaptive sliding mode controllers.
EUROPEAN JOURNAL OF CONTROL
(2021)
Article
Automation & Control Systems
Saad Jamshed Abbasi, Hamza Khan, Min Cheol Lee
Summary: In this study, two different control logics, sliding mode control with a sliding perturbation observer (SMCSPO) and integral sliding mode control (ISMC), have been designed for the position control of a robot with five degrees of freedom (DOFs). Both control schemes have been implemented in MATLAB/Simulink, and it has been observed that the ISMC controller has improved the tracking performance of the system.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2021)
Article
Engineering, Aerospace
Guangfu Ma, Liangyue Wang, Yanning Guo, Yueyong Lyu, Hongyang Dong
Summary: This paper addresses the problem of finite-time six-degree-of-freedom tracking control of spacecraft without velocity measurements. A novel observer with a simple structure and finite-time stability is presented in the dual quaternion frame to estimate the unavailable dual angular velocity. The proposed continuous velocity-free 6-DOF control law based on the terminal sliding mode theory, combined with the estimated dual angular velocity, achieves the relative pose tracking objective within finite time. Rigorous proof is provided to demonstrate the finite-time stability of the observer-alone and the observer-based control law, considering observation errors. Two typical numerical simulations, hovering and circumnavigation, verify the effectiveness of the proposed method.
ADVANCES IN SPACE RESEARCH
(2023)
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
Automation & Control Systems
Ge Ma, Weijie Yang, Xuejing Lan
Summary: In this paper, an active fault-tolerance controller is proposed for a two-degree-of-freedom (2-DOF) helicopter model with different types of sensor faults. The proposed controller is designed by combining an interval type-2 fuzzy logic control approach with a sliding-mode control technique. In addition, the controller is compensated by a sliding-mode observer used to estimate faults in real-time. The overall stability of the closed-loop system is proven using the Lyapunov stability theory. Finally, numerical simulations and experiments verify that the proposed scheme achieves superior control performance in the case of sensor failure.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2023)
Article
Automation & Control Systems
Samir Zeghlache, Kamel Kara, Djamel Saigaa
Article
Computer Science, Information Systems
Samir Zeghlache, Djamel Saigaa, Kamel Kara
FRONTIERS OF COMPUTER SCIENCE
(2016)
Article
Automation & Control Systems
Samir Zeghlache, Tarak Benslimane, Abderrahmen Bouguerra
Article
Automation & Control Systems
Samir Zeghlache, Hemza Mekki, Abderrahmen Bouguerra, Ali Djerioui
Article
Optics
Samir Zeghlache, Nourredine Amardjia
Article
Computer Science, Artificial Intelligence
Mohamed Chemachema, Samir Zeghlache
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
(2015)
Article
Automation & Control Systems
Samir Zeghlache, Ali Djerioui, Loutfi Benyettou, Tarak Benslimane, Hemza Mekki, Abderrahmen Bouguerra
Article
Chemistry, Physical
Ali Djerioui, Azeddine Houari, Samir Zeghlache, Abdelhakim Saim, Mohamed Fouad Benkhoris, Tedjani Mesbahi, Mohamed Machmoum
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2019)
Article
Computer Science, Information Systems
Samir Zeghlache, Loutfi Benyettou, Ali Djerioui, Mohammed Zinelaabidine Ghellab
Summary: This article presents an adaptive fuzzy control method for stabilizing the twin rotor multi-input multi-output system and achieving precise tracking and reference position control. Experimental implementation demonstrates the capability of the developed control algorithm.
IEEE SYSTEMS JOURNAL
(2022)
Article
Computer Science, Interdisciplinary Applications
Soumia Kerrouche, Ali Djerioui, Samir Zeghlache, Azeddine Houari, Abdelhakim Saim, Hegazy Rezk, Mohamed Fouad Benkhoris
Summary: Parallel-linked photovoltaic inverters are necessary in big solar plants where using a single inverter is not feasible. The main issue in parallel-connected operation is the circulation current caused by slight voltage variations. This paper proposes a novel controller based on integral backstepping method to avoid circulation currents among the inverters, with high convergence efficiency and low computational cost. Simulation and experimental results show that the suggested control system achieves the required power quality and reduces circulation current under various loading situations.
SIMULATION MODELLING PRACTICE AND THEORY
(2023)
Article
Computer Science, Artificial Intelligence
Hilal Rahali, Samir Zeghlache, Loutfi Benyettou, Leila Benalia
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE AND APPLICATIONS
(2019)
Proceedings Paper
Computer Science, Information Systems
Samir Zeghlache, Abderrahmen Bouguerra, Mohamed Ladjal
2016 INTERNATIONAL CONFERENCE ON ELECTRICAL AND INFORMATION TECHNOLOGIES (ICEIT)
(2016)
Article
Engineering, Multidisciplinary
Samir Zeghlache, Kamel Kara, Djamel Saigaa
Article
Multidisciplinary Sciences
Noureddine Layadi, Ali Djerioui, Samir Zeghlache, Hemza Mekki, Azeddine Houari, Jinlin Gong, Fouad Berrabah
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2020)
