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Information Journal Paper

Title

State Estimation of a Crane Using Fuzzy UHF

Pages

  123-142

Abstract

 These days overhead crane is widely used in different industries such as automobile, navigation and also transportation of tools in storerooms. In this paper, a new adaptive strategy of Kalman Filter based on Fuzzy logic in which it tunes the process noise covariance matrix Q is presented. The method proposed attempts to offset some of the assumptions made in UHF formulation and is also robust with respect to the nonlinearities in the dynamic system subjected to non-stationary noises. The matrix Q influences the Kalman gain matrix K and thus, tuning the covariance matrix in-turn amounts to tuning K, thereby improving the filter’ s performance. Also this paper considers an important application the state estimation of a Crane, which dynamics are highly nonlinear and the noises affecting it are non-stationary.

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    APA: Copy

    MASOUMNEZHAD, MOJTABA, Yastibolaghi, Abolfazl, & NARIMAN ZADEH, NADER. (2020). State Estimation of a Crane Using Fuzzy UHF. KARAFAN, 17(1 (47) ), 123-142. SID. https://sid.ir/paper/407679/en

    Vancouver: Copy

    MASOUMNEZHAD MOJTABA, Yastibolaghi Abolfazl, NARIMAN ZADEH NADER. State Estimation of a Crane Using Fuzzy UHF. KARAFAN[Internet]. 2020;17(1 (47) ):123-142. Available from: https://sid.ir/paper/407679/en

    IEEE: Copy

    MOJTABA MASOUMNEZHAD, Abolfazl Yastibolaghi, and NADER NARIMAN ZADEH, “State Estimation of a Crane Using Fuzzy UHF,” KARAFAN, vol. 17, no. 1 (47) , pp. 123–142, 2020, [Online]. Available: https://sid.ir/paper/407679/en

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