Sun protection excavator

  • Vehicle Modeling and Parameter Estimation Using Adaptive

    in parameter estimation applications, at least as far as the authors know. This paper builds on the work in [10], and develops a new adaptive limited memory unscented Kalman filter (ALM-UKF) for nonlinear applications. We apply the ALM-UKF to estimate the vehicle model parameters for three different vehicle models using both simulation data and

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  • Parameter estimation for excavator arm using …

    Aug 09, 2004 · Parameter estimation for excavator arm using generalized Newton method. Abstract: A robust, fast, and simple technique for the experimental identification of the link parameters (mass, inertia, and length) and friction coefficients of a full-scale excavator arm is presented. This new technique, based on the generalized Newton method (GNM), estimates unknown individual parameters of the excavator …

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  • Safety analysis of autonomous excavator functionality

    This paper presents a rotational inertia estimation algorithm for excavators based on recursive leastsquares with forgetting and an adaptive updating rule that uses the performance analysis of the

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  • PSO with Adaptive Mutation and Inertia Weight and Its

    May 01, 2011 · PSO with Adaptive Mutation and Inertia Weight and Its Application in Parameter Estimation of Dynamic Systems Abstract. An important problem in engineering is the unknown parameters estimation in nonlinear systems. In this paper, a novel adaptive particle swarm optimization (APSO) method is proposed to solve this problem. This work considers

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  • Inertial Parameter Estimation of an Excavator with

    Up to12%cash back · May 15, 2018 · Abstract. This paper presents a rotational inertia estimation algorithm for excavators based on recursive least-squares with forgetting and an adaptive updating rule that uses the performance analysis of the Kalman filter. Generally, excavators execute a swing motion with various materials, and the rotational inertia of the excavator is changed greatly due to the …

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  • Modeling and parameter estimation for hydraulic system of

    Jun 01, 2008 · ZHANG Cheng-qian, ZHANG Guo-qiang. System identification and parameters estimation [M]. Beijing: China Machine Press, 1986: 101–103. (in Chinese) Google Scholar [15] SHAHRAM T, PETER D L, SALCUDEAN S E. Identification of inertial and friction parameters for excavator arms [J].

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  • PSO with Adaptive Mutation and Inertia Weight and Its

    PSO with Adaptive Mutation and Inertia Weight and Its Application in Parameter Estimation of Dynamic Systems Abstract. An important problem in engineering is the unknown parameters estimation in nonlinear systems. In this paper, a novel adaptive particle swarm optimization (APSO) method is proposed to solve this problem. This work considers

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  • Online Inertial Parameter Estimation for Robotic Loaders

    Jan 01, 2020 · Distributed estimation of the inertial parameters of an unknown load via multi-robot manipulation. In 53rd IEEE Conference on Decision and Control. IEEE. doi:10.1109/cdc.2014. 7040346.

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  • ‪Kwangseok Oh‬ - ‪Google Scholar‬

    Inertial parameter estimation of an excavator with adaptive updating rule using performance analysis of Kalman filter K Oh, J Seo International Journal of Control, Automation and Systems 16 (3), 1226-1238, …

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  • Online Estimation of Vehicle Inertial Parameters for

    INERTIAL PARAMETER ESTIMATION This section introduces an innovative algorithm for esti-mating the vehicle inertial parameters. The algorithm was originally developed to be used in an active suspension system and therefore assumes the availability of suspen-sion displacement sensors. Using the suspension sti ness

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  • Online Parameter Estimation and Adaptive Control - YouTube

    See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK1Download a trial: https://goo.gl/PSa78rMathWorks engineers will introduce n

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  • Vehicle Modeling and Parameter Estimation Using Adaptive

    in parameter estimation applications, at least as far as the authors know. This paper builds on the work in [10], and develops a new adaptive limited memory unscented Kalman filter (ALM-UKF) for nonlinear applications. We apply the ALM-UKF to estimate the vehicle model parameters for three different vehicle models using both simulation data and

    Learn More
  • Combining Parameter Identification and Trajectory

    Jun 06, 2019 · Figure 9: Values of the inertial parameter (mass and principal moments of inertia) with respect to time, for the updated and non-updated case. Figure 10: Trajectory tracking, with and without updates for the system used in Figure 9. With poor initial guesses for parameters and no updates, the system does not converge well to its desired

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  • Online Inertial Parameter Estimation for Robotic Loaders

    Jan 01, 2020 · Distributed estimation of the inertial parameters of an unknown load via multi-robot manipulation. In 53rd IEEE Conference on Decision and Control. IEEE. doi:10.1109/cdc.2014. 7040346.

    Learn More
  • Online Estimation of Vehicle Inertial Parameters for

    online estimation of these inertial parameters. Although the importance of the inertial parameters on vehicle stability and handling has been shown [Allen et al. (2003)], most automotive manufacturers usually assume the inertial parameters to be xed and rely on robust control strategies to account for the parameter variations,

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  • Online estimation ofinertial parameter for lightweight

    Feb 24, 2020 · When we observe carefully Figs. 9 and 10 of the estimated vehicle mass m n and vehicle yaw moment of inertia I zz, it can be found that this DEKF shows larger oscillations of estimated vehicle inertial parameters in the transient estimation process compared with DUKF, while the estimated vehicle inertial parameters using DUKF has more accurate

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  • Online estimation ofinertial parameter for lightweight

    Feb 24, 2020 · When we observe carefully Figs. 9 and 10 of the estimated vehicle mass m n and vehicle yaw moment of inertia I zz, it can be found that this DEKF shows larger oscillations of estimated vehicle inertial parameters in the transient estimation process compared with DUKF, while the estimated vehicle inertial parameters using DUKF has more accurate

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  • Research Article Aerodynamic Parameter Estimation of a

    Adaptive Inertial Weight. e inertial weight in is employed to manipulate the impact of the previous history of the velocities on the current velocity [ ]. e inertial weight resolves the tradeo between the global and local exploration abilities of the swarm. Many researchers have advocated that the …

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  • Parameter Identification and Control Algorithm of

    May 23, 2020 · In view of the nonlinearity and time-varying characteristics of the electrohydraulic servo system of the robotic excavator, a nonlinear adaptive identification and control algorithm based on improved Hammerstein model is proposed. The Hammerstein algorithm model can approximate the nonlinear system with enough precision, but for the time-varying systems is not satisfactory.

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  • Identification of inertial and friction parameters for

    A novel yet simple approach for experimental determination of the link (mass and inertia-related) parameters and friction coefficients is developed for a typical excavator arm. The parameters are needed for indirect measurement of the external forces, compensation for the link weights in the operator's hand in a force-feedback teleoperation setup, impedance control of the arm, simulation of

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