Article
Automation & Control Systems
Seyed Mehdi Rakhtala, Alessandro Casavola
Summary: This article proposes a second-order sliding mode control law based on a super twisting algorithm for regulating the output voltage of a dc-dc buck converter. The performance of this method is compared with other sliding mode control algorithms, and it achieves the fastest convergence, consistent chattering reduction, smallest settling time, and small steady-state error during load changes.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Xiaoning Shen, Chengwei Wu, Zhuang Liu, Yijie Wang, Jose I. Leon, Jianxing Liu, Leopoldo G. Franquelo
Summary: In this article, a two-stage design approach combining an adaptive-gain GSTA and a modified STO is proposed for NPC converters. The dynamic and steady-state performance of the converter is improved by applying the adaptive-gain GSTA in the power tracking and voltage regulation loops. The modified STO is used to reject external disturbances. Experimental results validate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Energy & Fuels
Lu Liu, Yun Zeng
Summary: This paper proposes a non-singular terminal sliding-mode control (NTSMC) strategy based on the improved salp swarm algorithm (ISSA) to solve the issue of system oscillations in DC microgrid systems with constant power loads (CPL). The state-feedback exact linearization technique is used to establish a linearized model of the converter system. The NTSMC based on a composite sliding-mode surface is designed to achieve rapid convergence and effectively weaken the chattering issue in traditional sliding-mode control.
Article
Automation & Control Systems
Hernan Haimovich, Leonid Fridman, Jaime A. Moreno
Summary: The application of sliding-mode control strategies based on super-twisting algorithms in the presence of time- and state-dependent perturbations is highly challenging. This article provides an important generalization by employing disturbance-tailored super-twisting ideas, allowing for greater applicability.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Computer Science, Artificial Intelligence
Kun Wang, Xiaoping Liu, Yuanwei Jing
Summary: This paper investigates a robust super-twisting sliding mode control (SMC) based on a disturbance observer for TCP network systems with unknown disturbance. By introducing a super-twisting algorithm and designing a disturbance observer, the estimation accuracy of the model is improved, and the stability of the closed-loop control system is achieved.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Automation & Control Systems
Ganghui Shen, Yuanqing Xia, Jinhui Zhang, Bing Cui
Summary: This paper presents a new continuous adaptive super-twisting sliding mode control (ASTSMC) method for the altitude trajectory tracking control problem of reentry vehicle subject to bounded uncertainty. The proposed method, based on conventional super-twisting sliding mode control (STSMC) and adaptive gain technique, improves tracking accuracy and achieves high control performance. By employing fast power rate reaching law and modified fast nonsingular terminal sliding mode (FNTSM) surface, the designed controller achieves faster convergence and stronger robustness than conventional STSMC methods. The finite-time stability of the closed-loop system is proved through Lyapunov theory, and simulation results validate the superiority of the proposed controller.
Article
Mathematics
Dian Jiang, Yunmei Fang, Juntao Fei
Summary: This paper proposes a novel smooth super-twisting extended-state observer (SSTESO)-based smooth super-twisting sliding-mode control (SSTSMC) scheme to improve the robustness and voltage-tracking performance of DC-DC buck converters. The SSTESO is used to estimate the unknown disturbance and compensate for the voltage controller, while the SSTSMC controller is designed to suppress chattering and improve dynamic response. Simulation results demonstrate that the proposed scheme enhances the robustness and transient response of the DC-DC buck converter system in the presence of external disturbance and parameter uncertainties.
Article
Automation & Control Systems
Saban Ozdemir, Necmi Altin, Ibrahim Sefa, Zhen Zhang, Hasan Komurcugil
Summary: This paper presents an effective sliding mode control method based on the super twisting algorithm for three-phase grid-tied three-level neutral point clamped inverters. The proposed method achieves good tracking performance and suppresses chattering while maintaining the robustness and simplicity of sliding mode control. It is also capable of operating with imbalanced and deteriorated grid voltages.
Article
Automation & Control Systems
Zeyu Li, Junyong Zhai, Hamid Reza Karimi
Summary: This article addresses the trajectory tracking problem for industrial robotic manipulators with control backlash by using an arctangent terminal sliding mode surface and an adaptive super-twisting sliding mode control method. The chattering in control law is overcome by the super-twisting method, achieving fast convergence and continuous control. Based on Lyapunov stability theory, the trajectory tracking error will converge to zero in a finite time with the proposed control scheme.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Automation & Control Systems
Jose Angel Cano Gonzalez, Oscar Salas-Pena, Jesus De Leon-Morales
Summary: This paper presents a continuous super twisting control combined with a high-order sliding mode observer for a class of nonlinear systems, providing an analysis of closed-loop stability using the Lyapunov approach. The numerical simulation and experimental results demonstrate the effectiveness of the proposed control-observer scheme for controlling the altitude of a quad-rotor aircraft, showing that it requires less control effort compared to similar approaches from literature.
Article
Energy & Fuels
Jiarong Wu, Lin Yang, Zhenkun Lu, Qingyu Wang
Summary: This paper presents a robust adaptive composite control strategy to improve the performance and stability of a boost converter with constant power loads (CPLs) in DC microgrids. The strategy includes two control loops and utilizes affine nonlinear mathematical models, differential geometry theory, exact feedback linearization theory, sliding mode control method, and proportional-integral control technology.
Article
Engineering, Electrical & Electronic
Hasan Masoudi, Arash Kiyoumarsi, Seyed M. Madani, Mohammad Ataei
Summary: In this article, a second-order sliding mode control (SMC) based on super-twisting algorithm is proposed for direct power control (DPC) of brushless DC (BLDC) motor. The proposed controller can improve the torque ripple of the BLDC motor and handle system uncertainties and external disturbances well. It is simple and robust, without requiring complex control loops or reference frame transformations.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Chemistry, Multidisciplinary
Ahyeong Choi, Hyunchang Kim, Mingyuan Hu, Youngjae Kim, Hyeongki Ahn, Kwanho You
Summary: In this paper, sliding mode control and disturbance compensation techniques are applied to a nonlinear speed control algorithm for a permanent magnet synchronous motor (PMSM). By utilizing the super-twisting algorithm reaching law (STRL) for sliding mode control and support vector regression-disturbance observer (SVR-DOB) for disturbance compensation, the control performance of PMSM systems is optimized, resulting in improved precision and disturbance rejection.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Electrical & Electronic
Qiankang Hou, Shihong Ding
Summary: A super-twisting sliding mode control technique combining disturbance observer is proposed to optimize the tracking accuracy of permanent magnet synchronous motor (PMSM) speed regulation system. By introducing a generalized proportional integral observer to estimate disturbances and combining it with a super-twisting sliding mode controller, a composite controller is constructed to achieve the desired tracking precision.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2021)
Article
Computer Science, Information Systems
Naki Guler, Sertac Bayhan, Ugur Fesli, Andrei Blinov, Dmitri Vinnikov
Summary: In this paper, a super twisting sliding mode control method (ST-SMC) is proposed for an isolated input series output parallel current source converter (ISOP-CSC). The method generates a phase shift between the primary side switching signals of the master cell and transfers the value to the slave modules. This allows each cell to use the same phase angle value, reducing the need for multiple current sensors and eliminating the need for voltage sensors. Experimental results demonstrate the effectiveness of the proposed method in regulating the input current to the reference value.
Article
Green & Sustainable Science & Technology
Mohamed Derbeli, Wided Saadi, Cristian Napole, Oscar Barambones
Summary: This paper proposes a high order sliding mode control (SMC) based drift algorithm as a solution to the high-frequency switching problem in conventional SMC. The algorithm is theoretically designed for a proton exchange membrane fuel cell system and is implemented and compared with conventional SMC in a commercial fuel cell system. Comparative outcomes show the pros and cons of each scheme in terms of steady-state oscillations, convergence speed, and robustness.
IET RENEWABLE POWER GENERATION
(2023)
Article
Energy & Fuels
Eneko Artetxe, Oscar Barambones, Isidro Calvo, Pablo Fernandez-Bustamante, Imanol Martin, Jokin Uralde
Summary: Wireless technologies are increasingly used in industrial applications due to their ability to reduce cabling costs and provide flexibility in node layout and device scaling. Despite some drawbacks, they are widely accepted in monitoring and supervision tasks and even in time-critical tasks involving slow dynamic processes. This article aims to guide application designers in selecting the most appropriate technology by discussing relevant wireless technologies and providing examples of their applications.
Article
Chemistry, Analytical
Jokin Uralde, Eneko Artetxe, Oscar Barambones, Isidro Calvo, Pablo Fernandez-Bustamante, Imanol Martin
Summary: Piezoelectric actuators (PEA) are high-precision devices used in applications requiring micrometric displacements. However, PEAs present non-linearity phenomena that introduce drawbacks at high precision applications. This paper presents a high precision control scheme to be used at PEAs based on the model-based predictive control (MPC) scheme, which uses artificial neural networks (ANN) to simplify the obtaining of the model. The experimental results show that the MPC control strategy achieves higher accuracy at high precision PEA applications.
Article
Computer Science, Information Systems
Mokhtar Jlidi, Faical Hamidi, Oscar Barambones, Rabeh Abbassi, Houssem Jerbi, Mohamed Aoun, Ali Karami-Mollaee
Summary: Researchers have focused on improving the efficiency of photovoltaic systems, as they are much less efficient compared to fossil fuels. A major issue with photovoltaic systems (PVS) is power generation interruption due to changes in solar radiation and temperature. To enhance the energy efficiency of these systems, it is necessary to predict the meteorological conditions affecting PV modules. This study proposes the use of artificial neural networks (ANNs) to predict current and voltage in the PV system, by predicting operating temperature and radiation, and employs JAYA-SMC hybrid control to search for the MPP and duty cycle SEPIC. Data sets of 60538 were used to predict temperature and solar radiation accurately.
Article
Mathematics, Applied
Ali Karami-Mollaee, Oscar Barambones
Summary: In order to maximize power from wind turbines in variable-speed regions, a suitable control signal needs to be applied to the pitch angle of the blades. However, uncertainties in turbine modeling complicate the calculation of these signals. To address this issue, an optimal controller using particle swarm optimization (PSO) is proposed, with further improvement through fractional order PSO (FPSO). By utilizing a new state feedback based on Taylor series, a linear model with uncertainty is obtained and used for the implementations of CPSO, FPSO, and fuzzy Takagi-Sugeno-Kang (TSK) inference system. Comparison of the controllers demonstrates the advantages of the Taylor series in stabilizing wind turbines and tracking desired trajectories.
Article
Chemistry, Physical
Mohammed Yousri Silaa, Aissa Bencherif, Oscar Barambones
Summary: This study compares novel robust adaptive sliding mode control (ASMCSGD) with the super twisting algorithm (STA) for the proton exchange membrane fuel cell (PEMFC) power system. The ASMCSGD is based on conventional sliding mode control (SMC) and uses stochastic gradient descent (SGD) to minimize the chattering phenomenon and ensure robustness. The stability of the PEMFC power system for both ASMCSGD and STA controllers is demonstrated.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Mathematics
Eneko Artetxe, Jokin Uralde, Oscar Barambones, Isidro Calvo, Imanol Martin
Summary: Photovoltaic energy is a renewable source that plays a crucial role in reducing greenhouse gas emissions and achieving sustainable energy generation. This study proposes a reinforcement learning-based control method to improve the speed and efficiency of photovoltaic power systems. By using a digital twin for simulation training and adjusting the reward function based on maximum power achieved, the RL control shows significant improvements in power output and settling time compared to traditional controllers in both simulations and real implementations.
Article
Engineering, Mechanical
Abdelaziz Zaidi, Oscar Barambones, Nadia Zanzouri
Summary: The main objective of this research was to develop reliable and intelligent power sources for the future. To achieve this, a modular stand-alone solar energy-based DC power supply was designed and implemented. The converter topology used was a two-stage interleaved boost converter, monitored in closed loop, and the diagnosis method was based on analytic redundancy relations derived from the bond graph model.
Article
Engineering, Electrical & Electronic
Pablo Fernandez-Bustamante, Isidro Calvo, Eneko Villar, Oscar Barambones
Summary: This article proposes a wireless control architecture that allows the execution of MPPT algorithms for multiple PV subsystems, achieving flexibility and optimal energy production. Wireless communications are implemented using XBee 900 MHz RF modules, providing a low cost solution with long range communication. Sliding Mode Control (SMC) was selected as the control technique and proved to provide better performance and robustness compared to conventional techniques.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Engineering, Marine
Fahimeh Shiravani, Jose Antonio Cortajarena, Patxi Alkorta, Oscar Barambones
Summary: A generalized predictive control scheme for wave power generation systems is proposed in this paper, which includes a Wells turbine and an induction generator. The scheme aims to improve the efficiency of the system and prevent the stalling phenomenon by regulating the turbine rotational speed.
Article
Green & Sustainable Science & Technology
Mohammed Yousri Silaa, Oscar Barambones, Jose Antonio Cortajarena, Patxi Alkorta, Aissa Bencherif
Summary: This paper presents a novel PI sliding mode controller-based super-twisting algorithm (PISMCSTA) for improving the output power quality of proton exchange membrane fuel cells (PEMFCs). The black widow optimization algorithm (BWOA) is used to enhance and tune the parameters of the controller. Numerical simulations show that the proposed PISMCSTA performs better than the conventional STA controller in reducing response time and eliminating chattering effect.
Article
Computer Science, Information Systems
Jokin Uralde, Oscar Barambones, Eneko Artetxe, Isidro Calvo, Asier del Rio
Summary: This study compares the performance of a Continuous Control Set MPC (CCS-MPC) and a conventional PI controller in controlling the speed of an induction motor for an electric vehicle. The results demonstrate that the MPC outperforms the PI controller in speed tracking and battery consumption.
Article
Mathematics
Ali Karami-Mollaee, Oscar Barambones
Summary: This paper focuses on designing a higher order sliding mode controller to make the outputs of nonlinear nonaffine MIMO systems track those of a linear system. The control approach uses an adaptive switching gain and linear state feedback to eliminate chattering and achieve finite time convergence to the sliding surface. The proposed controller is independent of the upper bound of the matched uncertainty and is verified using the general model of MIMO induction motors.
Article
Computer Science, Information Systems
Asier del Rio, Oscar Barambones, Jokin Uralde, Eneko Artetxe, Isidro Calvo
Summary: This study evaluates the performance and feasibility of a control system based on the PSO algorithm for real-time Maximum Power Point Tracking (MPPT) in a photovoltaic system. The results show that the PSO algorithm has significant advantages in reducing settling time and energy losses compared to the industry-standard P&O algorithm.
Article
Computer Science, Information Systems
Alejandro Rujas, Itsasne Landaburu, Victor M. Lopez-Martin, Oscar Barambones
Summary: The use of SiC devices in power converters improves size, weight, and efficiency. However, SiC-based solutions increase common-mode noise injected into the grid due to high dv/dt and di/dt during switching events. To reduce the noise, three-phase inverters with a DC-link referenced output filter are commonly used in PV inverters. This study examines the impact of the DC-link referenced filter on inductor current ripple and the benefits of using SiC devices to increase switching frequency.
