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12th IFAC Symposium on Control of Power and Energy Systems (CPES)

作者： Benzaouia, M. Benzaouia, S. Rabhi, A. Hajji, B. Elgharib, A. O. Mohamed First Univ Natl Sch Appl Sci Renewable Energy Embedded Syst & Data Proc Lab Oujda Morocco Capgemini Engn Direct Res & Innovat F-31700 Blagnac France Univ Picardie Jules Verne Lab Modelisat Informat & Syst MIS 33 Rue St Leu F-80039 Amiens France AASTMT Basic & Appl Sci Dept Giza Egypt

This paper deals with the development of a robust nonlinear control strategy for direct-driven Permanent Magnet Synchronous Generator (PMSG) wind turbines. First-Order Sliding Mode Controllers (FOSMC) are commonly used in such systems to regulate generator rotational speed and optimize power extraction;however, they encounter significant drawbacks, notably the undesirable chattering effect and the necessity for measuring additional system states, leading to increased complexity and implementation costs. In addressing these issues, an effective control technique based on an Adaptive super-twisting algorithm (ASTA) has been proposed. This algorithm not only mitigates the chattering effect but also offers a more cost-effective implementation by incorporating online gains adaptation to accommodate the unpredictable nature of wind speeds. The proposed control technique has been evaluated in MATLAB/Simulink through model-in-the-loop simulations;demonstrating superior performance compared to classical FOSMC and STA controllers under various scenarios. Copyright (c) 2024 The Authors.

关键词： PMSG Wind Turbine MPPT Sliding Mode Control super-twisting algorithm Field Oriented Control (FOC) WECS

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Third order super twisting algorithm applied to a robotic arm with 3 degrees of freedom 5

Third order super twisting algorithm applied to a robotic ar...

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5th IEEE Colombian Conference on Automatic Control (IEEE CCAC) - Technological Advances for a Sustainable Regional Development

作者： Conejo-Benitez, Cesar E. Torres, Ixbalank Rocha-Cozatl, Edmundo Angel Diosdado-De la Pena, Jose Univ Guanajuato DICIS Dept Ingn Elect Salamanca Mexico Univ Nacl Autonoma Mexico DIMEI Dept Ingn Mecatron Ciudad De Mexico Mexico Univ Guanajuato DICIS Dept Ingn Mecan Salamanca Mexico

ISBN: (纸本)9781665418836

This work presents the modeling and simulation of a robotic arm with three degrees of freedom (3 DOF), and the implementation of a robust closed-loop control law, based on the third-order super twisting algorithm (3 STA), to direct the final position of the robotic arm to a different position from the initial one within its workspace, even in the presence of perturbations and parametric uncertainties in the dynamic model. To achieve the robotic arm movement, a linear trajectory was planned with the use of the kinematic model and a fifth degree polynomial. Smooth movements are therefore generated in each joint during the execution of the trajectory.

关键词： robotic arm kinematic and dynamic model trajectory planning super-twisting algorithm sliding mode control

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Direct-Driven PMSG Wind Turbines: Adaptive super twisting algorithm Control Approach

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IFAC-PapersOnLine 2024年第13期58卷 757-762页

作者： M. Benzaouia S. Benzaouia A. Rabhi B. Hajji AO. Elgharib Renewable Energy Embedded System and Data Processing Laboratory National School of Applied Sciences Mohamed First University Oujda Morocco Capgemini Engineering Direction Research & Innovation F-31700 Blagnac France Laboratory of Modelisation Information and Systems – MIS University of Picardie Jules Verne 33 rue Saint Leu 80039 Amiens Cedex France Basic and Applied Science Department Arab Academy for Science Technology and Maritime Transport (AASTMT) Giza Egypt

This paper deals with the development of a robust nonlinear control strategy for direct-driven Permanent Magnet Synchronous Generator (PMSG) wind turbines. First-Order Sliding Mode Controllers (FOSMC) are commonly used in such systems to regulate generator rotational speed and optimize power extraction; however, they encounter significant drawbacks, notably the undesirable chattering effect and the necessity for measuring additional system states, leading to increased complexity and implementation costs. In addressing these issues, an effective control technique based on an Adaptive super-twisting algorithm (ASTA) has been proposed. This algorithm not only mitigates the chattering effect but also offers a more cost-effective implementation by incorporating online gains adaptation to accommodate the unpredictable nature of wind speeds. The proposed control technique has been evaluated in MATLAB/Simulink through model-in-the-loop simulations; demonstrating superior performance compared to classical FOSMC and STA controllers under various scenarios.

关键词： PMSG Wind Turbine MPPT Sliding Mode Control super-twisting algorithm Field Oriented Control (FOC) WECS

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Robust Tracking Control of Piezoelectric Actuators Using super-twisting Sliding Mode With Bouc-Wen Hysteresis Model-Based Enhanced Jaya algorithm

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IEEE ACCESS 2025年 13卷 15547-15555页

作者： Hang, Nguyen Thi Thu Son, Nguyen Ngoc Ind Univ Ho Chi Minh City Fac Elect Technol Ho Chi Minh City 700000 Vietnam Saigon Univ Fac Elect & Telecommun Ho Chi Minh City 700000 Vietnam

This paper introduces a super-twisting Sliding Mode Control (STSMC) strategy integrated with a Bouc-Wen hysteresis model for tracking control of the piezoelectric (PZT) actuator. The Bouc-Wen model, which captures the nonlinear hysteretic behavior of the PZT actuator, is estimated using a modified Jaya algorithm enhanced with L & eacute;vy flight distribution (called LeJaya). This modification improves the update mechanism by using L & eacute;vy flight distribution for better global search capabilities and employing an adaptive population scheme to optimize both exploration and exploitation. The STSMC with Bouc-Wen hysteresis is designed to overcome the chattering phenomenon and guarantee global asymptotic stability. The stability control of the PZT system is verified by Lyapunov's Law. Simulation results demonstrate the robustness and effectiveness of the proposed method in comparison to classical sliding mode control (SMC), neural sliding mode control (RBFSMC), and fuzzy sliding mode control (FuzzySMC), highlighting improved tracking performance and removed chattering phenomena. The proposed method offers a promising solution for precise and stable control of the PZT actuator in the presence of hysteresis.

关键词： Lead zirconate titanate Hysteresis Actuators Computational modeling Mathematical models Sliding mode control Heuristic algorithms Optimization Uncertainty Asymptotic stability Bouc-Wen hysteresis piezoelectric actuator super-twisting algorithm high-order sliding mode control

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Novel control strategy for robustness of two DOF Smith predictor via active disturbance rejection method

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JOURNAL OF THE FRANKLIN INSTITUTE 2025年第2期362卷

作者： Chung, Yoonuh Ahn, Hyeongki Hu, Mingyuan Park, Jihoon You, Kwanho Sungkyunkwan Univ Dept Elect & Comp Engn Suwon 16419 South Korea Sungkyunkwan Univ Dept Smart Fab Technol Suwon 16419 South Korea

This paper presents a novel control strategy that employs a Smith predictor for large delay- time systems. Although the classic Smith predictor structure is superior for large delay-time compensation, it exhibits weaknesses when confronted with time varying disturbances, parameter uncertainties, and unmodeled dynamics. To overcome this intrinsic problem of the Smith predictor, this paper proposes a novel two degrees-of-freedom Smith predictor structure with two decoupled controllers. For fast reference tracking and robustness against disturbance, the reference controller is designed as a sliding mode controller and is developed using linear quadratic regulation and a modified smooth super-twisting algorithm. The perturbation rejection capability is enhanced by using an adaptive method and sliding mode based active disturbance rejection control. Thus, the developed control system can achieve robustness, accurate trajectory tracking, and fast response despite disturbances, noises, and mismatched errors. The simulation results demonstrate the effectiveness of the proposed control strategy in reducing the delay-time and system uncertainties, resulting in improved PMSM speed control.

关键词： Delay-time compensation Sliding mode control Smith predictor Active disturbance rejection control Permanent magnet synchronous motor super-twisting algorithm

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Composite trajectory tracking control for under-actuated crane systems with matched and mismatched disturbances: Theory and implementation

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MECHANICAL SYSTEMS AND SIGNAL PROCESSING 2025年 226卷

作者： Nguyen, Ngo Phong Kim, Yoonsoo Oh, Hyondong Moon, Jun Vietnamese German Univ Fac Engn Binh Duong Vietnam Ulsan Natl Inst Sci & Technol UNIST Dept Mech Engn Ulsan South Korea Gyeongsang Natl Univ Grad Sch Mech & Aerosp Engn Jinju South Korea Hanyang Univ Dept Elect Engn Seoul South Korea

Gantry cranes have been extensively deployed across various industries as powerful transportation equipment. However, their under-actuated nature often leads to conflicting performance aspects, i.e., high-speed, accurate trolley positioning and payload swing angle suppression. Additionally, during operation, these systems may be affected by internal and external disturbances, both matched and mismatched, making robust control a significant challenge. Hence, enhancing operational efficiency and robustness in crane control remains crucial for improving overall productivity. To tackle these issues, we propose composite trajectory tracking control (CTTC) designed to improve both precision and robustness in such systems. Our approach employs the feedback linearization-based super-twisting sliding-mode technique. First, we transform the crane system into its normal form using feedback linearization and coordinate transformation techniques. Next, we develop a generalized variable gain super-twisting sliding-mode algorithm with a coupled sliding surface, to effectively handle various disturbances while ensuring continuous control actions. The proposed CTTC guarantees uniformly ultimately bounded tracking and regulation errors without requiring any approximation operations during control design and analysis. Theoretical and practical investigations in simulation environment and experimental platform confirm the superiority of the proposed CTTC, showcasing improved performance metrics in trajectory tracking and disturbance rejection across diverse transportation tasks. Overall, the proposed CTTC ensures robust performance over a wide operational range.

关键词： Feedback linearization super-twisting algorithm Trajectory tracking Under-actuated cranes Uniformly ultimately bounded Variable control gain

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Sliding mode control of the susceptible-exposed-asymptomatic-infected-recovered model with vaccination

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MATHEMATICAL METHODS IN THE APPLIED SCIENCES 2025年第3期48卷 3936-3955页

作者： Chen, Xi Xiang, Changcheng Yang, Yi Hubei MinZu Univ Sch Math & Stat Enshi 445000 Peoples R China Chongqing Three Gorges Univ Coll Comp Sci & Engn Chongqing Peoples R China

This paper studies a nonlinear epidemiological model called susceptible, exposed, asymptomatic infected, infected, and recovered (SEAIR) with a control input (vaccination), which helps to design a sliding mode vaccination strategy by tracking the prevalence of infectious diseases. First, the effective reproduction number is adjusted to the expected value to control infectious disease outbreaks, even with model parameter changes and systematic perturbations. Meanwhile, based on the sliding mode control theory, two control strategies, namely, first-order sliding mode control and super-twisting control, are proposed to control the spread of COVID-19. Besides, an integral sliding surface associated with the effective reproduction number R0(t)$$ {R}_0(t) $$ is constructed to eliminate the chattering problem of the system. Moreover, the sliding mode controller is robust to uncertainties and external perturbations. The stability and finite-time convergence of the closed-loop control system are verified by Lyapunov's second method. Also, the effect of the two control strategies on the system performance is evaluated by numerical simulations. Furthermore, this paper presents a practical case simulation based on data from Wuhan. The results indicate that universal vaccination is crucial in the early stage of the COVID-19 pandemic. As the epidemic progresses, vaccination is still an essential approach for epidemic prevention and control.

关键词： chattering COVID-19 effective reproduction number Lyapunov's second method sliding mode control super-twisting algorithm

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A Position-Tracking Method for Arc Motor Based on Iterative Learning super-twisting Observer and super-twisting Control

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IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS 2025年第2期13卷 2200-2210页

作者： Huang, Demin Fang, Shuhua Xu, Qiangren Southeast Univ Sch Elect Engn Nanjing 210096 Peoples R China

This article introduces a method focused on enhancing the position-tracking performance of permanent magnet arc motors (PMAMs) through the implementation of iterative learning super-twisting observer and super-twisting control (ILSTO-STC). The primary control objective is to achieve precise and reliable position-tracking. The torque ripples caused by the structure and drive system of PMAMs are the main reasons for the position-tracking error. To overcome the drawbacks of conventional sliding mode control (SMC) and the iterative learning (IL) strategy, which cannot maintain good performance when the speed changes, the proposed method uses the position-domain IL strategy to estimate the periodic component in torque ripples and super-twisting algorithm to estimate the left nonperiodic components. Finally, the estimated lumped disturbances are fed forward to the super-twisting controller to improve the disturbance rejection ability. The stability of the proposed method is proved via the Lyapunov function. The effectiveness of the proposed method is validated by simulation and experimental results.

关键词： Observers Torque Heuristic algorithms Motors Stators Prediction algorithms Magnetic domains Iterative algorithms Couplings Convergence Iterative learning (IL) strategy permanent magnet arc motor (PMAM) position-tracking super-twisting algorithm

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Novel Logarithmic Sliding Mode Control of Chaos in Seventh-Order Power Systems

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INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL 2025年第8期35卷 3383-3392页

作者： Cao, Qian Wei, Du Qu Guangxi Normal Univ Coll Elect & Informat Engn Guangxi Key Lab Brain Inspired Comp & Intelligent Guilin Peoples R China

In seventh-order power systems, chaotic oscillations can significantly compromise system stability, arising from intricate interactions among system parameters and initial conditions. This study introduces a robust chaos control strategy tailored for such high-dimensional systems. The approach begins by integrating a dynamic model of an energy storage device, specifically designed to absorb surplus active power, thereby constructing a controlled ninth-order power system with coupled dynamics. To further enhance stability and rapid response, we propose a novel logarithmic sliding mode control (LSMC) surface. This innovation incorporates natural logarithms to achieve a high-gain effect at the equilibrium points of the reduced-order sliding mode system, facilitating rapid re-stabilization of the power system. Additionally, we employ the super-twisting algorithm to address the inherent chattering issues associated with traditional sliding mode control. Theoretical analyses and simulation experiments validate the effectiveness of our proposed method, demonstrating its capability to swiftly restore system stability.

关键词： chaotic oscillations energy storage device logarithmic sliding mode control (LSMC) seventh-order power systems super-twisting algorithm

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Enhancing performance and power quality in a wind energy conversion system based on permanent magnet synchronous generator through improved 3rd-order super-twisting control

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ENERGY REPORTS 2025年 13卷 3204-3224页

作者： Bounadja, Elhadj Djilali, Abdelkadir Belhadj Kacemi, Walid Mohammed Yahdou, Adil Benbouhenni, Habib Colak, Ilhami Hassiba Benbouali Univ Chlef Lab Genie Elect & Energie Renouvelable LGEER Ouled Fares Algeria Ecole Natl Polytech Oran Lab Automat & Anal Syst Bp 1523M'NAOUER Oran Algeria Istinye Univ Istanbul Turkiye

Traditional control methods, including vector control (VC) with proportional-integral (PI) controllers, sliding mode control (SMC), and second-order SMC (SOSMC) employing the super-twisting (ST) algorithm, significantly impact system performance and power quality. However, these techniques are susceptible to internal and external disturbances. This study introduces an improved third-order ST control (ITOSTC) designed for wind energy conversion systems (WECS) that incorporate a permanent magnet synchronous generator (PMSG). ITOSTC addresses issues such as chattering and power ripples by employing a novel sliding surface with continuous smooth switching control. The ITOSTC is designed to regulate the generator speed to align with the desired value during wind variations. Additionally, the proposed ITOSTC manages the grid supply to ensure power injection with a unity power factor. The DC-link voltage is also regulated by the proposed approach. A comprehensive analysis under random wind speed variations assesses the robustness of the suggested approach, with stability verified using Lyapunov theory, considering system uncertainties for enhanced efficacy. Comparisons with a PI regulator and conventional SOSMC reveal the outstanding performance and high robustness of ITOSTC. It improves system efficiency to 96.66 %, surpassing SOSMC (91.22 %) and PI (88.12 %). Furthermore, the designed ITOSTC minimizes grid-injected total harmonic distortion by approximately 55.32 % compared to conventional SOSMC. The outcomes obtained from this study, utilizing MATLAB/Simulink, illustrate the efficacy and success of the proposed approach in various tests conducted on a variable-speed WECS using PMSG, compared to conventional methods.

关键词： Permanent-magnet synchronous generator Smooth function super-twisting algorithm Improved 3rd order super-twisting controller Wind energy conversion system

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