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Journal articles on the topic 'Backstepping technique'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

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1

Hassan, Salmi, Badri Abdelmajid, Zegrari Mourad, Sahel Aicha, and Bagudad Abdenaceur. "PSO-Backstepping Design for Sharing Active and Reactive Power in Grid Connected DFIG Based Wind Turbine." WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS 20 (March 30, 2021): 33–42. http://dx.doi.org/10.37394/23201.2021.20.4.

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An optimal backstepping controller is developed for doubly fed induction generator based wind turbine (DFIG). The objective is the control of active and reactive power exchanged between the generator and electrical grid in presence of uncertainty and reduce transient loads. The backstepping controller is coupled with an artificial bee colony aeroturbine algorithm in order to extract the maximum energy. Particle swarm optimization is used to select optimal value of backstepping’s parameters. The simulation is carried out on 2.4 MW DFIG based wind turbine system. The optimized performance of the

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2

Wang, Li. "Backstepping Technique Based on Error." OALib 03, no. 11 (2016): 1–12. http://dx.doi.org/10.4236/oalib.1103061.

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3

Heidari, Sara, Ali Shahcheraghi, Kamran Heidari, Samaneh Zahmatkesh, and Farzin Piltan. "Intelligent Adaptive Gain Backstepping Technique." International Journal of Information Technology and Computer Science 7, no. 2 (2015): 60–67. http://dx.doi.org/10.5815/ijitcs.2015.02.08.

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4

Ajayi, A. Ayotunde, S. Kayode Ojo, E. Uchechukwu Vincent, and N. Abdullahi Njah. "Multiswitching Synchronization of a Driven Hyperchaotic Circuit Using Active Backstepping." Journal of Nonlinear Dynamics 2014 (February 18, 2014): 1–10. http://dx.doi.org/10.1155/2014/918586.

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An active backstepping technique is proposed for the realization of multiswitching synchronization of periodically forced hyperchaotic Van der Pol-Duffing oscillators. The active backstepping technique is a systematic design approach with recursive procedures that skillfully optimizes the choice of Lyapunov functions and active control technique. Using the active backstepping technique, the usual master-slave synchronization scheme is extended to study the synchronization of systems with different combinations of the slave states variables with master state variables. Our numerical results con

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Md Rozali, Sahazati, Mohd Fua’ad Rahmat, and Abdul Rashid Husain. "Performance Comparison of Particle Swarm Optimization and Gravitational Search Algorithm to the Designed of Controller for Nonlinear System." Journal of Applied Mathematics 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/679435.

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This paper presents backstepping controller design for tracking purpose of nonlinear system. Since the performance of the designed controller depends on the value of control parameters, gravitational search algorithm (GSA) and particle swarm optimization (PSO) techniques are used to optimise these parameters in order to achieve a predefined system performance. The performance is evaluated based on the tracking error between reference input given to the system and the system output. Then, the efficacy of the backstepping controller is verified in simulation environment under various system setu

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Karsenti, L., F. Lamnabhi-Lagarrigue, and G. Bastin. "Backstepping technique extended to nonlinear parameterization." IFAC Proceedings Volumes 29, no. 1 (1996): 2060–65. http://dx.doi.org/10.1016/s1474-6670(17)57975-6.

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7

Abdallah, Abden, Bouchetta A., Boughazi O., Baghdadi A., and K. Bousserhane I. "Double star induction machine using nonlinear integral backstepping control." International Journal of Power Electronics and Drive System (IJPEDS) 10, no. 1 (2019): 27–40. https://doi.org/10.11591/ijpeds.v10.i1.pp27-40.

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This paper presents a nonlinear Integral backstepping control approach based on field-oriented control technique, applied to a Double Star Induction Machine ‘DSIM’ feed by two power voltage sources. We present this technique of integral backstepping by using reduced and complete mathematical model. The objective is to improve the robustness of machine under internal parameter variation with nonlinear Integral backstepping control. The robustness test results obtained by simulation prove the effectiveness of control with using complete model of DSIM.

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Shah, Syed Awais Ali, Bingtuan Gao, Nigar Ahmed, and Chuande Liu. "Advanced robust control techniques for the stabilization of translational oscillator with rotational actuator based barge-type OFWT." Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment 235, no. 2 (2021): 327–43. http://dx.doi.org/10.1177/1475090221991431.

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In recent times, renewable energy demand is rapidly increasing worldwide. Offshore wind energy is one of the alternative solutions to the problems posed by non-renewable energy resources. The kinetic energy of the wind is converted to mechanical energy by using an offshore floating wind turbine (OFWT). The efficiency of the OFWT is dependent upon the vibrational effect induced by the environment. In this paper, for the mitigation of this vibrational effect, a new model of barge-type OFWT is designed by using an active control strategy called translational oscillator with a rotational actuator

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Abdallah, Abden, A. Bouchetta, O. Boughazi, A. Baghdadi, and L. K. Bousserhane. "Double star induction machine using nonlinear integral backstepping control." International Journal of Power Electronics and Drive Systems (IJPEDS) 10, no. 1 (2019): 27. http://dx.doi.org/10.11591/ijpeds.v10.i1.pp27-40.

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<span lang="EN-GB">This paper presents a nonlinear Integral backstepping control approach based on field oriented control technique, applied to a Double Star Induction Machine ‘DSIM’ feed by two power voltage sources. We present this technique of integral backstepping by using reduced and complete Model of DSIM. The objective is to improve the robustness of machine under internal parameter variation with nonlinear Integral backstepping control. The robustness test results obtained by simulation prove the effectiveness of control with using complete model of DSIM.</span>

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10

Garagara Kinwi, Suka, Stephen Ekwueme Aniaku, Christopher Chukwuma Asogwa, and Emmanuel Chukwudi Mbah. "Global Asymptotic Stability of Nonlinear Strict Feedback System via Backstepping Control Approach." International Journal of Mathematics and Mathematical Sciences 2023 (June 13, 2023): 1–12. http://dx.doi.org/10.1155/2023/8637789.

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The design of controller for nonlinear system in strict feedback form in which the equilibrium point is the origin is the focus of the study. Backstepping is the technique applied. Recursive design is used in the backstepping control technique. Using the backstepping approach, we are given a reasonably simple method to design the control law for a system with these properties. The closed-loop system’s global asymptotic stability is attained by incorporating a Lyapunov function; in this case, a quadratic one was selected for the study. To demonstrate the viability of the technique, we also perf

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Mahersi, Emna, and Adel Khedher. "Backstepping flux observer for nonlinear control of the direct-drive permanent magnet synchronous generator wind turbines." Wind Engineering 40, no. 6 (2016): 540–54. http://dx.doi.org/10.1177/0309524x16671192.

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This article described a backstepping flux observer and a backstepping control strategy applied to the wind energy conversion system based on synchronous generator. The proposed control technique is developed for both converters: the stator-side converter and the grid-side converter. The stator flux is recovered by the backstepping flux observer, and simultaneously, we introduce stator resistance variations to test the robustness of nonlinear backstepping control strategy. Then, MATLAB simulation works show high performances in terms of tracking, stability, and robustness against parameter var

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Sun, Chunxiang. "Command-Filtered Backstepping Control for a Class of Chaotic Systems." Journal of Control Science and Engineering 2022 (January 17, 2022): 1–6. http://dx.doi.org/10.1155/2022/9348547.

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The problem of command-filtered backstepping control for a class of chaotic systems was studied in this paper. At each step of the backstepping design, a command filtering backstepping method is introduced to use a new virtual control signal, in which the derivative of the virtual control was approximated by using the output of filter. Then, the asymptotic stability conditions for synchronization errors are obtained by using the Lyapunov stability criterion and this control method. The design technique has the advantages of the conventional command-filtered backstepping control. An example sho

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13

Wang, Zhen. "Synchronization of an Uncertain Fractional-Order Chaotic System via Backstepping Sliding Mode Control." Discrete Dynamics in Nature and Society 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/732503.

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Backstepping control approach combined with sliding mode control (SMC) technique is utilized to realize synchronization of uncertain fractional-order strict-feedback chaotic system. A backstepping SMC method is presented to compensate the uncertainty which occurs in the slave system. Moreover, the newly proposed control scheme is applied to implement synchronization of fractional-order Duffing-Holmes system. The simulation results demonstrate that the backstepping SMC method is robust against the modeling uncertainties and external disturbances.

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14

Hassan, Salmi, Badri Abdelmajid, Zegrari Mourad, Sahel Aicha, and Baghdad Abdenaceur. "PSO-backstepping controller of a grid connected DFIG based wind turbine." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 1 (2020): 856. http://dx.doi.org/10.11591/ijece.v10i1.pp856-867.

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The paper demonstrates the feasibility of an optimal backstepping controller for doubly fed induction generator based wind turbine (DFIG). The main purpose is the extract of maximum energy and the control of active and reactive power exchanged between the generator and electrical grid in presence of uncertainty. The maximum energy is obtained by applying an algorithm based on artificial bee colony approach. Particle swarm optimization is used to select optimal value of backstepping’s parameters. The simulation is carried out on 2.4 MW DFIG based wind turbine system. The optimized performance o

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Saikia, Arobindra, and Neelanjana Baruah. "Proposal of Sliding Mode Controller based on Backstepping Technique for Control of Magnetic Levitation System." International Journal of Engineering and Advanced Technology 11, no. 2 (2021): 1–4. http://dx.doi.org/10.35940/ijeat.a3229.1211221.

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Magnetic Levitation System (MLS) is a nonlinear system and it is used extensively in many areas. The system's goal is to use the non-contact principle to magnetize the coil and cause the objects to float to a specific height. The magnetic force and the current flowing through the coil have a nonlinear relationship. In this paper first design of the backstepping controller is done to attain the wanted floating in presence of system related uncertainties and system behavior is witnessed. Then a Sliding Mode Controller (SMC) based on backstepping procedure is formulated. The control gains in this

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16

Mokhtari, Messaoud, and Noureddine Golea. "Control of a Permanent Magnet Synchronous Machine Using Neural Network Backstepping Approach." Advanced Materials Research 628 (December 2012): 410–19. http://dx.doi.org/10.4028/www.scientific.net/amr.628.410.

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This paper aims to control a nonlinear uncertain system using the neural network backstepping technique by way of the following steps: the first one consists in localizing and modelling the unknown nonlinearities depending upon non-measurable states which in their turn subjected to uncertainties as well as external constraints, the second step is to design a suitable control law to overcome either the uncertainties and the external constraints. In short, this work comes down to solve a non linear and uncertain problem with some external constraints, so the suitable solution to this problem is

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Dehghani, Reza, and Esmaeil Abedi. "An enhanced backstepping approach for motion control of underactuated autonomous surface vessels with input constraints." Transactions of the Institute of Measurement and Control 40, no. 8 (2017): 2669–80. http://dx.doi.org/10.1177/0142331217708243.

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This paper focuses on the motion control of an underactuated autonomous surface vessel (UASV). A robust adaptive approach is proposed to control the UASV in spite of existence of uncertainties in the dynamic model and the external disturbances by integrating the backstepping method with input constraints, functional approximate technique (FAT) and projection operator. In the proposed controller, it is not required to compute the complex functions and their derivatives appearing in the traditional backstepping methods. The motion control strategy of the UASV is first derived based on the backst

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Tavoosi, Jafar. "PMSM speed control based on intelligent sliding mode technique." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 39, no. 6 (2020): 1315–28. http://dx.doi.org/10.1108/compel-04-2020-0137.

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Purpose The purpose of this paper is to present a novel intelligent backstepping sliding mode control for an experimental permanent magnet synchronous motor. Design/methodology/approach A novel recurrent radial basis function network (RBFN) is used to is used to approximate unknown nonlinear functions in permanent magnet synchronous motor (PMSM) dynamics. Then, using the functions obtained from the neural network, it is possible to design a model-based and precise controller for PMSM using the immersive modeling method. Findings Experimental results indicate the appropriate performance of the

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19

Zellouma, Dalal, and Habib BENBOUHENNI. "Application of third-order SMC technique to improve the performance of backstepping control of induction motors using modified SVM techniques." Algerian Journal of Signals and Systems 10, no. 1 (2025): 7–17. https://doi.org/10.51485/ajss.v10i1.222.

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In this paper a backstepping control (BC) method with third-order sliding mode control (TOSMC) command of the Induction motor (IM), is compared to pulse width modulation (PWM) strategy and Modified Space Vector Modulation (MSVM) strategy, the use of a TOSMC controller with backstepping control methods in the minimization of phenomena chattering. There are several major problems often associated with PWM technology, which are total harmonic distortion (THD). The presence of high ripples in each of: rotor flux, stator current and torque. To overcome all these problems, a strategy with strong per

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Mazenc, Frédéric, and Hiroshi Ito. "Lyapunov Technique and Backstepping for Nonlinear Neutral Systems." IEEE Transactions on Automatic Control 58, no. 2 (2013): 512–17. http://dx.doi.org/10.1109/tac.2012.2206709.

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Faa-Jeng Lin, Po-Hung Shen, and Rong-Fong Fung. "RFNN control for PMLSM drive via backstepping technique." IEEE Transactions on Aerospace and Electronic Systems 41, no. 2 (2005): 620–44. http://dx.doi.org/10.1109/taes.2005.1468753.

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Djamel, Kaddouri, Mokhtari Abdellah, and Abdelaziz Benallegue. "Attitude Optimal Backstepping Controller Based Quaternion for a UAV." Mathematical Problems in Engineering 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/8573235.

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A hierarchical controller design based on nonlinearH∞theory and backstepping technique is developed for a nonlinear and coupled dynamic attitude system using conventional quaternion based method. The derived controller combines the attractive features ofH∞optimal controller and the advantages of the backstepping technique leading to a control law which avoids winding phenomena. Performance issues of the controller are illustrated in a simulation study made for a four-rotor vertical take-off and landing (VTOL) aerial robot prototype known as the quadrotor aircraft.

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Wang, Chao. "Adaptive RBF Neural Network Backstepping Control for Two-Link Robot Manipulators." Journal of Physics: Conference Series 2283, no. 1 (2022): 012006. http://dx.doi.org/10.1088/1742-6596/2283/1/012006.

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Abstract In this paper, an adaptive radial basis function neural network(RBFNN) backstepping controller is presented for a two-link robot manipulator in the presence of uncertainty and external interferences. RBFNNs are applied to approximate uncertain nonlinear functions, and considering the backstepping technique, an adaptive RBFNN backstepping control strategy is proposed. It is proved by the Lyapunov function that tracking errors converge to a small neighborhood of the equilibrium point and the closed-loop system variables are bounded. The simulation results demonstrate the effectiveness o

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Wan, Xiaohe, and Yan Li. "Adaptive Fuzzy Backstepping Control for Itô-Type Nonlinear Switched Systems Subject to Unknown Hysteresis Input." Mathematics 12, no. 7 (2024): 1070. http://dx.doi.org/10.3390/math12071070.

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The adaptive fuzzy backstepping control problem is studied for Itô-type nonlinear switched systems subject to unknown hysteresis input. Compared with existing works, the unknown hysteresis and stochastic disturbances are considered in the pure-feedback switched systems. The mean value theorem tackles the non-affine functions. The backstepping technique introduces an auxiliary virtual controller. In addition, the Nussbaum function is employed to solve the difficulty caused by the unknown hysteresis under arbitrary switching. Based on a fuzzy logic system and backstepping technique, a new adapti

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Piltan, Farzin, Alexander E. Prosvirin, Muhammad Sohaib, Belem Saldivar, and Jong-Myon Kim. "An SVM-Based Neural Adaptive Variable Structure Observer for Fault Diagnosis and Fault-Tolerant Control of a Robot Manipulator." Applied Sciences 10, no. 4 (2020): 1344. http://dx.doi.org/10.3390/app10041344.

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A robot manipulator is a multi-degree-of-freedom and nonlinear system that is used in various applications, including the medical area and automotive industries. Uncertain conditions in which a robot manipulator operates, as well as its nonlinearities, represent challenges for fault diagnosis and fault-tolerant control (FDC) that are addressed through the proposed FDC technique. A machine-learning-based neural adaptive, high-order, variable structure observer for fault diagnosis (FD) and adaptive, modern, fuzzy, backstepping, variable structure control for use in a fault-tolerant control (FC)

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Chahboun, Mbarek, Mohcine Abouyaakoub, Ali Ait Ali, et al. "Backstepping approach for the control of the double-fed asynchronous generator in a wind power system." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 1 (2025): 78. http://dx.doi.org/10.11591/ijeecs.v37.i1.pp78-89.

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<p>This paper aims to model and control the dual-fed asynchronous generator (DFIG). The modeling and vector control were simulated using MATLAB, followed by the application of the Backstepping control strategy. A comparative study between two DFIG control strategies, fuzzy logic control (FLC) and Back-stepping control, was conducted. The results for the Backstepping approach are discussed and compared with FLC, highlighting that the Backstepping technique addresses robustness issues regarding variations in operating conditions and internal parameters. Both control strategies are applied

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Mbarek, Chahboun Mohcine Abouyaakoub Ali Ait Ali Aziz El Mrabet Hicham Hihi Hassan Ouabi Youssef El Bid. "Backstepping approach for the control of the double-fed asynchronous generator in a wind power system." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 1 (2025): 78–89. https://doi.org/10.11591/ijeecs.v37.i1.pp78-89.

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This paper aims to model and control the dual-fed asynchronous generator (DFIG). The modeling and vector control were simulated using MATLAB, followed by the application of the Backstepping control strategy. A comparative study between two DFIG control strategies, fuzzy logic control (FLC) and Back-stepping control, was conducted. The results for the Backstepping approach are discussed and compared with FLC, highlighting that the Backstepping technique addresses robustness issues regarding variations in operating conditions and internal parameters. Both control strategies are applied to a wind

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Yu, Xin, Chao Xu, Huacheng Jiang, Arthi Ganesan, and Guojie Zheng. "Backstepping Synthesis for Feedback Control of First-Order Hyperbolic PDEs with Spatial-Temporal Actuation." Abstract and Applied Analysis 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/643640.

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This paper deals with the stabilization problem of first-order hyperbolic partial differential equations (PDEs) with spatial-temporal actuation over the full physical domains. We assume that the interior actuator can be decomposed into a product of spatial and temporal components, where the spatial component satisfies a specific ordinary differential equation (ODE). A Volterra integral transformation is used to convert the original system into a simple target system using the backstepping-like procedure. Unlike the classical backstepping techniques for boundary control problems of PDEs, the in

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Ojo, Kayode S., Abdulahi N. Njah, Samuel T. Ogunjo, and Olasunkanmi I. Olusola. "Reduced order hybrid function projective combination synchronization of three Josephson junctions." Archives of Control Sciences 24, no. 1 (2014): 99–113. http://dx.doi.org/10.2478/acsc-2014-0007.

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Abstract In this paper, we examine reduced order hybrid function projective combination synchronization of three chaotic systems consisting of: (i) two third chaotic Josephson junctions as drives and one second order chaotic Josephson junction as response system; (ii) one third order chaotic Josephson junction as the drive and two second order chaotic Josephson junctions as the slaves using active backstepping technique. The analytic results confirm the realization of reduced order hybrid function projective combination synchronization using active backstepping technique. Numerical simulations

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Luo, R. Z., Y. L. Wang, and S. C. Deng. "Modified Projective Synchronization of Uncertain Unified Chaotic Systems via Backstepping Approach." Applied Mechanics and Materials 66-68 (July 2011): 1136–41. http://dx.doi.org/10.4028/www.scientific.net/amm.66-68.1136.

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This paper focuses on modified projective synchronization of uncertain unified chaotic systems via backstepping approach. A parameter observer is designed to identify the unknown parameter of unified chaotic systems and a novel backstepping control method is presented for synchronizing two identical unified chaotic systems with each other. Numerical simulations are shown to verify the feasibility and effectiveness of the proposed control technique.

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Loembe-Souamy, Rostand M. Davy, Guo-Ping Jiang, Chun-Xia Fan, and Xin-Wei Wang. "Chaos Synchronization of Two Chaotic Nonlinear Gyros Using Backstepping Design." Mathematical Problems in Engineering 2015 (2015): 1–6. http://dx.doi.org/10.1155/2015/850612.

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We investigate the chaos synchronization of two certain chaotic gyros using the backstepping approach. We design a simple controller and verify the stability of the error system by using proper Lyapunov functions. The designed control laws ensure stable controlled and synchronized states for two chaotic nonlinear gyros. Numerical simulations are implemented for illustration and verification of the effectiveness of the backstepping technique.

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Yu, Jinpeng, Junwei Gao, Yumei Ma, Haisheng Yu, and Songfeng Pan. "Robust Adaptive Fuzzy Control of Chaos in the Permanent Magnet Synchronous Motor." Discrete Dynamics in Nature and Society 2010 (2010): 1–13. http://dx.doi.org/10.1155/2010/269283.

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An adaptive fuzzy control method is developed to control chaos in the permanent magnet synchronous motor drive system via backstepping. Fuzzy logic systems are used to approximate unknown nonlinearities, and an adaptive backstepping technique is employed to construct controllers. The proposed controller can suppress the chaos of PMSM and track the reference signal successfully. The simulation results illustrate its effectiveness.

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Li, Hai-Yan, Yun-An Hu, Jian-Cun Ren, and Min Zhu. "Dynamic Feedback Backstepping Control for a Class of MIMO Nonaffine Block Nonlinear Systems." Mathematical Problems in Engineering 2012 (2012): 1–18. http://dx.doi.org/10.1155/2012/493715.

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For a class of MIMO nonaffine block nonlinear systems, a neural network- (NN-) based dynamic feedback backstepping control design method is proposed to solve the tracking problem. This problem is difficult to be dealt with in the control literature, mainly because the inverse controls of block nonaffine systems are not easy to resolve. To overcome this difficulty, dynamic feedback, backstepping design, sliding mode-like technique, NN, and feedback linearization techniques are incorporated to deal with this problem, in which the NNs are used to approximate and adaptively cancel the uncertaintie

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Bossoufi, Badre, Mohammed Karim, Ahmed Lagrioui, Mohammed Taoussi, and Madiha El Ghamrasni. "Backstepping Adaptive Control of DFIG-Generators for Variable-Speed Wind Turbines." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 12, no. 7 (2014): 3719–33. http://dx.doi.org/10.24297/ijct.v12i7.3079.

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In this paper, we present a nonlinear robust control of active and reactive power by the use of the technique Backstepping a double-fed asynchronous generator (DFIG) system incorporated in a wind. The power transfer between the stator and the network is carried out by acting on the rotor via a bidirectional signal converter.Initially, a control strategy of the MPPT asynchronous double fed generator is presented. Thereafter, a new control technique for wind systems is presented. This control scheme is based on an adaptive pole placement control strategy integrated to a Backstepping control sche

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Piltan, Farzin, Rafia Nishat Toma, Dongkoo Shon, et al. "Strict-Feedback Backstepping Digital Twin and Machine Learning Solution in AE Signals for Bearing Crack Identification." Sensors 22, no. 2 (2022): 539. http://dx.doi.org/10.3390/s22020539.

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Bearings are nonlinear systems that can be used in several industrial applications. In this study, the combination of a strict-feedback backstepping digital twin and machine learning algorithm was developed for bearing crack type/size diagnosis. Acoustic emission sensors were used to collect normal and abnormal data for various crack sizes and motor speeds. The proposed method has three main steps. In the first step, the strict-feedback backstepping digital twin is designed for acoustic emission signal modeling and estimation. After that, the acoustic emission residual signal is generated. Fin

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Rabbani, Muhammad Junaid, and Attaullah Y. Memon. "Trajectory Tracking and Stabilization of Nonholonomic Wheeled Mobile Robot Using Recursive Integral Backstepping Control." Electronics 10, no. 16 (2021): 1992. http://dx.doi.org/10.3390/electronics10161992.

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In this paper, a generalized nontriangular normal form is presented to facilitate designing a recursive integral backstepping control for the class of underactuated nonholonomic systems, i.e., wheeled mobile robots (WMRs) that perform posture stabilization and trajectory tracking in environments without obstacles. Based on the differential geometry theory, we develop a multiple input multiple output (MINO) generalization of normal form using the input-output feedback linearization technique. Then, the change of variables (diffeomorphism) transform the state-space model of WMR, incorporating bo

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Ali, Kamran, Laiq Khan, Qudrat Khan, et al. "Robust Integral Backstepping Based Nonlinear MPPT Control for a PV System." Energies 12, no. 16 (2019): 3180. http://dx.doi.org/10.3390/en12163180.

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A photovoltaic system generates energy that depends on the environmental conditions such as temperature, irradiance and the variations in the load connected to it. To adapt to the consistently increasing interest of energy, the photovoltaic (PV) system must operate at maximum power point (MPP), however, it has the issue of low efficiency because of the varying climatic conditions. To increase its efficiency, a maximum power point technique is required to extract maximum power from the PV system. In this paper, a nonlinear fast and efficient maximum power point tracking (MPPT) technique is deve

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Wang, Li, Zongtao Lu, Xiaoping Liu, Kefu Liu, and Dan Zhang. "Adaptive control of a parallel robot via backstepping technique." International Journal of Systems, Control and Communications 1, no. 3 (2009): 312. http://dx.doi.org/10.1504/ijscc.2009.024558.

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Wei, Yiheng, Dian Sheng, Yuquan Chen, and Yong Wang. "Fractional order chattering-free robust adaptive backstepping control technique." Nonlinear Dynamics 95, no. 3 (2019): 2383–94. http://dx.doi.org/10.1007/s11071-018-4698-8.

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Morawiec, Marcin, Patryk Strankowski, Arkadiusz Lewicki, Jaroslaw Guzinski, and Filip Wilczynski. "Feedback Control of Multiphase Induction Machines With Backstepping Technique." IEEE Transactions on Industrial Electronics 67, no. 6 (2020): 4305–14. http://dx.doi.org/10.1109/tie.2019.2931236.

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Zhao, Xiao-Wen, Meng-Ke Li, Qiang Lai, and Zhi-Wei Liu. "Neurodynamics-based formation tracking control of leader-follower nonholonomic multiagent systems." Intelligence & Robotics 4, no. 4 (2024): 339–62. http://dx.doi.org/10.20517/ir.2024.21.

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This paper uses a bioinspired neurodynamic (BIN) approach to investigate the formation control problem of leader-follower nonholonomic multiagent systems. In scenarios where not all followers can receive the leader's state, a distributed adaptive estimator is presented to estimate the leader's state. The distributed formation controller, designed using the backstepping technique, utilizes the estimated leader states and neighboring formation tracking error. To address the issue of impractical velocity jumps, a BIN-based approach is integrated into the backstepping controller. Furthermore, cons

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Tien. "ROTOR SPEED CONTROL FOR THE PMSG WIND TURBINE SYSTEM USING DYNAMIC SURFACE CONTROL ALGORITHM." Journal of Military Science and Technology, no. 68 (August 3, 2020): 97–107. http://dx.doi.org/10.54939/1859-1043.j.mst.68.2020.97-107.

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This paper focuses on the design a controller for PMSG Wind turbine system bases on dynamic surface control (DSC). DSC is a new technique based on sliding mode control and backstepping which provides the ability to solve problems in backstepping controllers and avoids their drawbacks. The stability of the system is proved by using Lyapunov theory. The proposed controller was simulated in matlab/simulink and results expressed the efficiency of the controller.

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Bensaid, Mounir, Abdellfattah Ba-Razzouk, Mustapha Elharoussi, and Mohammed El Haissouf. "Design and DSP Implementation of Backstepping Integrator Control for Multi-Motor Systems." EPJ Web of Conferences 330 (2025): 01004. https://doi.org/10.1051/epjconf/202533001004.

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This paper presents a nonlinear control strategy designed specifically for multi-motor systems, employing integral Backstepping control (IBSC). It not only explains the core principles of the Backstepping control technique but also details the development of the control law governing speed and mechanical tension. Through a comparative analysis, the effectiveness and robustness of this approach are evaluated in comparison to proportional integral (PI) control. The aim is to determine how well each approach performs in dealing with variations in system parameters. Validation of the proposed stra

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Abdouni, Khadija, Hind Ennasri, Asmaa Drighil, Hicham Bahri, Mohamed Bour, and Mostafa Benboukous. "Efficient and robust nonlinear control MPPT based on artificial neural network for PV system." International Journal of Power Electronics and Drive Systems (IJPEDS) 15, no. 3 (2024): 1914. http://dx.doi.org/10.11591/ijpeds.v15.i3.pp1914-1924.

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The objective of this paper is to optimize the energy generation of a photovoltaic system by proposing an improved maximum power point tracking (MPPT) technique. The proposed method combines an artificial neural network (ANN) with a backstepping controller to enhance the photovoltaic (PV) system’s efficiency and precision in diverse climatic conditions, including solar irradiance and temperature. The ANN is used to predict the optimal voltage at maximum power point (MPP) Vpv, ref, and the backstepping controller is used to control the DC/DC converter based on Vpv, ref. The results obtained usi

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Abdouni, Khadija, Hind Ennasri, Asmaa Drighil, Hicham Bahri, Mohamed Bour, and Mostafa Benboukous. "Efficient and robust nonlinear control MPPT based on artificial neural network for PV system." International Journal of Power Electronics and Drive Systems (IJPEDS) 15, no. 3 (2024): 1914–24. https://doi.org/10.11591/ijpeds.v15.i3.pp1914-1924.

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The objective of this paper is to optimize the energy generation of a photovoltaic system by proposing an improved maximum power point tracking (MPPT) technique. The proposed method combines an artificial neural network (ANN) with a backstepping controller to enhance the photovoltaic (PV) system’s efficiency and precision in diverse climatic conditions, including solar irradiance and temperature. The ANN is used to predict the optimal voltage at maximum power point (MPP) Vpv, ref, and the backstepping controller is used to control the DC/DC converter based on Vpv, ref. The results obtain

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Zhang, XianKu, Guangping Yang, Qiang Zhang, Guoqing Zhang, and Yuqi Zhang. "Improved Concise Backstepping Control of Course Keeping for Ships Using Nonlinear Feedback Technique." Journal of Navigation 70, no. 6 (2017): 1401–14. http://dx.doi.org/10.1017/s0373463317000352.

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Course keeping for ships is vital for automatic navigation in marine transportation. To improve the control effect and reduce the energy output of the controller, this article proposes an improved concise backstepping controller based on a Lyapunov candidate function by introducing a nonlinear function of course error to replace the course error itself in the feedback loop. The procedure of nonlinear controller design has been reduced from two steps to one step using information from controlled plant to construct the Lyapunov candidate function. Compared with the pure backstepping control, the

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Zou, Qin, Fang Wang, and Qun Zong. "Nonlinear Constrained Adaptive Backstepping Tracking Control for a Hypersonic Vehicle with Uncertainty." Mathematical Problems in Engineering 2015 (2015): 1–16. http://dx.doi.org/10.1155/2015/237453.

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The control problem of a flexible hypersonic vehicle is presented, where input saturation and aerodynamic uncertainty are considered. A control-oriented model including aerodynamic uncertainty is derived for simple controller design due to the nonlinearity and complexity of hypersonic vehicle model. Then it is separated into velocity subsystem and altitude subsystem. On the basis of the integration of robust adaptive control and backstepping technique, respective controller is designed for each subsystem, where an auxiliary signal provided by an additional dynamic system is used to compensate

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Xia, Guoqing, Xingchao Shao, Ang Zhao, and Huiyong Wu. "Adaptive Neural Network Control with Backstepping for Surface Ships with Input Dead-Zone." Mathematical Problems in Engineering 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/530162.

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This paper addresses the problem of adaptive neural network controller with backstepping technique for fully actuated surface vessels with input dead-zone. The combination of approximation-based adaptive technique and neural network system is used for approximating the nonlinear function of the ship plant. Through backstepping and Lyapunov theory synthesis, an indirect adaptive network controller is derived for dynamic positioning ships without dead-zone property. In order to improve the control effect, a dead-zone compensator is derived using fuzzy logic technique to handle the dead-zone nonl

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Badr, Munaf Fathi, Ekhlas Hameed Karam, and Noor Mohammaed Mjeed. "Control design of damper mass spring system based on backstepping controller scheme." International Review of Applied Sciences and Engineering 11, no. 2 (2020): 181–87. http://dx.doi.org/10.1556/1848.2020.20049.

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AbstractThe objective of this paper is to present a proposed control model for the electromechanical damper mass spring system including the backstepping technique in comparison with the conventional proportional–derivative–integral (PID) controller unit to realize the best performance of the control systems. The suggested approach demanded the construction in laboratory arrangement of damper mass spring system which linked with electrical position sensor, and the theoretical work involved the derivation of the required mathematical equations in order to formulate the simulation models in Matl

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Abdelhak, Benheniche, and Bensaker Bachir. "A High Gain Observer Based Sensorless Nonlinear Control of Induction Machine." International Journal of Power Electronics and Drive Systems (IJPEDS) 5, no. 3 (2015): 305. http://dx.doi.org/10.11591/ijpeds.v5.i3.pp305-314.

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<p>In this paper a sensorless Backstepping control scheme for rotor speed and flux control of induction motor drive is proposed. The most interesting feature of this technique is to deal with non-linearity of high-order system by using a virtual control variable to render the system simple. In this technique, the control outputs can be derived step by step through appropriate Lyapunov functions. A high gain observer is performed to estimate non available rotor speed and flux measurements to design the full control scheme of the considered induction motor drive. Simulation results are pre

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