Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (9)
  • Open Access

    ARTICLE

    Optimal Joint Space Control of a Cable-Driven Aerial Manipulator

    Li Ding1,*, Rui Ma1, Zhengtian Wu2, Rongzhi Qi1, Wenrui Ruan1

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 441-464, 2023, DOI:10.32604/cmes.2022.022642 - 29 September 2022

    Abstract This article proposes a novel method for maintaining the trajectory of an aerial manipulator by utilizing a fast nonsingular terminal sliding mode (FNTSM) manifold and a linear extended state observer (LESO). The developed control method applies an FNTSM to ensure the tracking performance’s control accuracy, and an LESO to estimate the system’s unmodeled dynamics and external disturbances. Additionally, an improved salp swarm algorithm (ISSA) is employed to parameter tune the suggested controller by integrating the salp swarm technique with a cloud model. This approach also uses a model-free scheme to reduce the complexity of controller More >

  • Open Access

    ARTICLE

    Novel ARC-Fuzzy Coordinated Automatic Tracking Control of Four-Wheeled Mobile Robot

    G. Pandiaraj*, S. Muralidharan

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 3713-3726, 2023, DOI:10.32604/iasc.2023.031463 - 17 August 2022

    Abstract Four-wheeled, individual-driven, nonholonomic structured mobile robots are widely used in industries for automated work, inspection and exploration purposes. The trajectory tracking control of the four-wheel individual-driven mobile robot is one of the most blooming research topics due to its nonholonomic structure. The wheel velocities are separately adjusted to follow the trajectory in the old-fashioned kinematic control of skid-steered mobile robots. However, there is no consideration for robot dynamics when using a kinematic controller that solely addresses the robot chassis’s motion. As a result, the mobile robot has limited performance, such as chattering during curved movement.… More >

  • Open Access

    ARTICLE

    Linear Active Disturbance Rejection Control with a Fractional-Order Integral Action

    Maâmar Bettayeb1,3, Rachid Mansouri2,*, Ubaid M. Al-Saggaf3,4, Abdulrahman U. Alsaggaf3,4, Mohammed Moinuddin3,4

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3057-3079, 2022, DOI:10.32604/cmc.2022.025751 - 16 June 2022

    Abstract Linear active disturbance rejection control (LADRC) is a powerful control structure thanks to its performance in uncertainties, internal and external disturbances estimation and cancelation. An extended state observer (ESO) based controller is the key to the LADRC method. In this article, the LADRC scheme combined with a fractional-order integral action (FOI-LADRC) is proposed to improve the robustness of the standard LADRC. Using the robust closed-loop Bode’s ideal transfer function (BITF), an appropriate pole placement method is proposed to design the set-point tracking controller of the FOI-LADRC scheme. Numerical simulations and experimental results on a cart-pendulum… More >

  • Open Access

    ARTICLE

    Control of Linear Servo Carts with Integral-Based Disturbance Rejection

    Ibrahim M. Mehedi1,2,*, Abdulah Jeza Aljohani1,2, Ubaid M. Al-Saggaf1,2, Ahmed I. Iskanderani1, Thangam Palaniswamy1, Mohamed Mahmoud3, Mohammed J. Abdulaal1, Muhammad Bilal1,2, Waleed Alasmary4

    CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 453-463, 2022, DOI:10.32604/cmc.2022.022921 - 18 May 2022

    Abstract This paper describes a system designed for linear servo cart systems that employs an integral-based Linear Active Disturbance Rejection Control (ILADRC) scheme to detect and respond to disturbances. The upgrade in this control technique provides extensive immunity to uncertainties, attenuation, internal disturbances, and external sources of noise. The fundamental technology base of LADRC is Extended State Observer (ESO). LADRC, when combined with Integral action, becomes a hybrid control technique, namely ILADRC. Setpoint tracking is based on Bode’s Ideal Transfer Function (BITF) in this proposed ILADRC technique. This proves to be a very robust and appropriate More >

  • Open Access

    ARTICLE

    Intelligent Dynamic Inversion Controller Design for Ball and Beam System

    Ibrahim M. Mehedi1,2,*, Abdulah Jeza Aljohani1,2, Md Mottahir Alam1, Mohamed Mahmoud3, Mohammed J. Abdulaal1, Muhammad Bilal1,2, Waleed Alasmary4

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 2341-2355, 2022, DOI:10.32604/cmc.2022.022993 - 29 March 2022

    Abstract The Ball and beam system (BBS) is an attractive laboratory experimental tool because of its inherent nonlinear and open-loop unstable properties. Designing an effective ball and beam system controller is a real challenge for researchers and engineers. In this paper, the control design technique is investigated by using Intelligent Dynamic Inversion (IDI) method for this nonlinear and unstable system. The proposed control law is an enhanced version of conventional Dynamic Inversion control incorporating an intelligent control element in it. The Moore-Penrose Generalized Inverse (MPGI) is used to invert the prescribed constraint dynamics to realize the More >

  • Open Access

    ARTICLE

    Robustness Convergence for Iterative Learning Tracking Control Applied to Repetitfs Systems

    Ben Attia Selma*, Ouerfelli Houssem Eddine, Salhi Salah

    Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 795-810, 2022, DOI:10.32604/iasc.2022.020435 - 17 November 2021

    Abstract This study addressed sufficient conditions for the robust monotonic convergence of repetitive discrete-time linear parameter varying systems, with the parameter variation rate bound. The learning law under consideration is an anticipatory iterative learning control. Of particular interest in this study is that the iterations can eliminate the influence of disturbances. Based on a simple quadratic performance function, a sufficient condition for the proposed learning algorithm is presented in terms of linear matrix inequality (LMI) by imposing a polytopic structure on the Lyapunov matrix. The set of LMIs to be determined considers the bounds on the More >

  • Open Access

    ARTICLE

    Fractional Order Linear Active Disturbance Rejection Control for Linear Flexible Joint System

    Ibrahim M. Mehedi1,2,*, Rachid Mansouri3, Ubaid M. Al-Saggaf1,2, Ahmed I. M. Iskanderani1, Maamar Bettayeb4, Abdulah Jeza Aljohani1,2, Thangam Palaniswamy1, Shaikh Abdul Latif5, Abdul Latif6

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5133-5142, 2022, DOI:10.32604/cmc.2022.021018 - 11 October 2021

    Abstract A linear flexible joint system using fractional order linear active disturbance rejection control is studied in this paper. With this control scheme, the performance against disturbances, uncertainties, and attenuation is enhanced. Linear active disturbance rejection control (LADRC) is mainly based on an extended state observer (ESO) technology. A fractional integral (FOI) action is combined with the LADRC technique which proposes a hybrid control scheme like FO-LADRC. Incorporating this FOI action improves the robustness of the standard LADRC. The set-point tracking of the proposed FO-LADRC scheme is designed by Bode's ideal transfer function (BITF) based robust More >

  • Open Access

    ARTICLE

    An Adaptive Fuzzy Control Model for Multi-Joint Manipulators

    Yanzan Han1,*, Huawen Zhang1, Zengfang Shi1, Shuang Liang2

    Computer Systems Science and Engineering, Vol.40, No.3, pp. 1043-1057, 2022, DOI:10.32604/csse.2022.017742 - 24 September 2021

    Abstract Multi-joint manipulator systems are subject to nonlinear influences such as frictional characteristics, random disturbances and load variations. To account for uncertain disturbances in the operation of manipulators, we propose an adaptive manipulator control method based on a multi-joint fuzzy system, in which the upper bound information of the fuzzy system is constant and the state variables of the manipulator control system are measurable. The control algorithm of the system is a MIMO (multi-input-multi-output) fuzzy system that can approximate system error by using a robust adaptive control law to eliminate the shadow caused by approximation error. More >

  • Open Access

    ARTICLE

    Optimal Robust Control for Unstable Delay System

    Rihem Farkh1,2,*, Khaled A. Aljaloud1, Moufida Ksouri2, Faouzi Bouani2

    Computer Systems Science and Engineering, Vol.36, No.2, pp. 307-321, 2021, DOI:10.32604/csse.2021.014334 - 05 January 2021

    Abstract Proportional-Integral-Derivative control system has been widely used in industrial applications. For uncertain and unstable systems, tuning controller parameters to satisfy the process requirements is very challenging. In general, the whole system’s performance strongly depends on the controller’s efficiency and hence the tuning process plays a key role in the system’s response. This paper presents a robust optimal Proportional-Integral-Derivative controller design methodology for the control of unstable delay system with parametric uncertainty using a combination of Kharitonov theorem and genetic algorithm optimization based approaches. In this study, the Generalized Kharitonov Theorem (GKT) for quasi-polynomials is employed… More >

Displaying 1-10 on page 1 of 9. Per Page