Design of adaptive sliding mode controller applied to ultrasonic motor
Article publication date: 23 November 2021
Issue publication date: 11 January 2022
The purpose of this paper is to achieve high-precision sliding mode control without chattering; the control parameters are easy to adjust, and the entire controller is easy to use in engineering practice.
Using double sliding mode surfaces, the gain of the control signal can be adjusted adaptively according to the error signal. A kind of sliding mode controller without chattering is designed and applied to the control of ultrasonic motors.
The results show that for a position signal with a tracking amplitude of 35 mm, the traditional sliding mode control method has a maximum tracking error of 0.3326 mm under the premise of small chattering; the boundary layer sliding mode control method has a maximum tracking error of 0.3927 mm without chattering, and the maximum tracking error of continuous switching adaptive sliding mode control is 0.1589 mm, and there is no chattering. Under the same control parameters, after adding a load of 0.5 kg, the maximum tracking errors of the traditional sliding mode control method, the boundary layer sliding mode control method and the continuous switching adaptive sliding mode control are 0.4292 mm, 0.5111 mm and 0.1848 mm, respectively.
The proposed method not only switches continuously, but also the amplitude of the switching signal is adaptive, while maintaining the robustness of the conventional sliding mode control method, which has strong engineering application value.
This work was supported by the Open Research Project of Key Laboratory of Advanced Manufacturing Technology, Ministry of Education(Guizhou University)(No. GZUAMT2021KF06), and the Open Research Project of the State Key Laboratory of Large Electric Drive System and Equipment Technology (Tianshui Electric Drive Research Institute Group Co., Ltd.) (No. SKLLDJ022020003).
Yan, G. (2022), "Design of adaptive sliding mode controller applied to ultrasonic motor", Assembly Automation, Vol. 42 No. 1, pp. 147-154. https://doi.org/10.1108/AA-04-2021-0048
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