Design and Implementation of Fuzzy Sliding Mode Controller for Motion Control of an Electric Shake Table Using Adaptive Extended Kalman Filter

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Rajabi Namini N.; HAVANGI R.

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Paper Information

Journal: NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, A- MUHANDISI -I BARQ Year:2021 | Volume:19 | Issue:2 Page(s): 90-98

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Information Journal Paper

Title

Design and Implementation of Fuzzy Sliding Mode Controller for Motion Control of an Electric Shake Table Using Adaptive Extended Kalman Filter

Author(s)

Rajabi Namini N. | HAVANGI R. | Issue Writer Certificate

Keywords

Shaking simulation tableQ1

adaptive extended Kalman filterQ1

Kalman filterQ2

fuzzy sliding mode controllerQ1

Abstract

In this paper, Design of a fuzzy sliding mode controller (FSMC) with Kalman filter/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">adaptive extended Kalman filter (AEKF) for controlling a shake table system with electric actuator and ball-screw mechanism. Due to the uncertainties regarding the model parameters and the noise of the data of the two encoder and accelerometer sensors, there are many problems in controlling this system. Therefore, it is crucial to employ a non-precise model-based controller and a nonlinear adaptive filter. The fuzzy sliding mode control and Extended Kalman filter are a good way to control this system. In sliding mode control, chattering at the control input is inevitable. In this paper, a simple fuzzy inference mechanism is used to reduce the undesirable phenomenon of chattering by correctly estimating the upper bound of uncertainty. In the following, a recursive method is used to determine the system and measurement noise covariance matrices. The data of the two encoder and accelerometer sensors are combined in the Kalman filter/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">adaptive extended Kalman filter and the results in noise elimination and parameter estimation are investigated. Linear speed feedback available through the Kalman filter is used to stabilize and control the closed loop system. The end is examined to check the performance of the control structure provided by the seismic table test. The results show that the proposed method is very effective.

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APA: Copy

Rajabi Namini, N., & HAVANGI, R.. (2021). Design and Implementation of Fuzzy Sliding Mode Controller for Motion Control of an Electric Shake Table Using Adaptive Extended Kalman Filter. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, A- MUHANDISI -I BARQ, 19(2 ), 90-98. SID. https://sid.ir/paper/405670/en

Vancouver: Copy

Rajabi Namini N., HAVANGI R.. Design and Implementation of Fuzzy Sliding Mode Controller for Motion Control of an Electric Shake Table Using Adaptive Extended Kalman Filter. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, A- MUHANDISI -I BARQ[Internet]. 2021;19(2 ):90-98. Available from: https://sid.ir/paper/405670/en

IEEE: Copy

N. Rajabi Namini, and R. HAVANGI, “Design and Implementation of Fuzzy Sliding Mode Controller for Motion Control of an Electric Shake Table Using Adaptive Extended Kalman Filter,” NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, A- MUHANDISI -I BARQ, vol. 19, no. 2 , pp. 90–98, 2021, [Online]. Available: https://sid.ir/paper/405670/en

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